{
    "domain": "messages",
    "locale_data": {
        "messages": {
            "1": [
                "1"
            ],
            "": {
                "domain": "messages",
                "plural_forms": "nplurals=2; plural=n != 1;",
                "lang": "da"
            },
            "'{col}' contains infinite values": [
                "»{col}« indeholder uendelige værdier"
            ],
            "'{col}' contains missing values": [
                "»{col}« indeholder manglende værdier"
            ],
            "'{col}' contains only missing values": [
                "»{col}« indeholder kun manglende værdier"
            ],
            "'{col}' contains only one unique value": [
                "»{col}« indeholder kun en unik værdi"
            ],
            "'{method}' extraction method was used in combination with a '{rotation}' rotation": [
                "Ekstraktionmetoden »{method}« blev brugt i kombination med en »{rotation}«-rotation"
            ],
            "'{rotation}' rotation was used": [
                "»{rotation}«-rotation blev brugt"
            ],
            "'{var}' contains negative values. Negative weights are not permitted.": [
                "»{var}« indeholder negative værdier. Negative vægte er ikke tilladte."
            ],
            "{} - Kendall's Tau B": [
                "{} - Kendalls Tau B"
            ],
            "{} - Pearson's r": [
                "{} - Pearsons r"
            ],
            "{} - Spearman's rho": [
                "{} - Spearmans rho"
            ],
            "{ciWidth}% CI Lower": [
                "{ciWidth}% KI Nedre grænse"
            ],
            "{ciWidth}% CI mean {title}": [
                "{ciWidth}% KI Gjennomsnitt {title}"
            ],
            "{ciWidth}% CI Upper": [
                "{ciWidth}% KI Øvre grænse"
            ],
            "{ciWidth}% Confidence Interval": [
                "{ciWidth}% Konfidensintervall"
            ],
            "{ciWidth}% Confidence Intervals": [
                "{ciWidth}% Konfidensintervaller"
            ],
            "{item1} and {item2}": [
                "{item1} og {item2}"
            ],
            "{list}, {nextItem}": [
                "{list}, {nextItem}"
            ],
            "{list}, and {lastItem}": [
                "{list} og {lastItem}"
            ],
            "{n} pair(s) of values were tied": [
                "{n} værdipar har samme rang"
            ],
            "{type} score based on the variables {vars}": [
                "{type}-pointesum baseret på variablerne {vars}"
            ],
            "{varName} (reversed)": [
                "{varName} (inverteret)"
            ],
            "{varType} of binomial logistic regression model{modelNo}": [
                "{varType} for binomisk logistisk regressionsmodel{modelNo}"
            ],
            "{varType} of linear regression model{modelNo}": [
                "{varType} for lineær regressionsmodel{modelNo}"
            ],
            "* p < .05, ** p < .01, *** p < .001, one-tailed": [
                "* p < .05, ** p < .01, *** p < .001, ensidigt"
            ],
            "%": [
                "%"
            ],
            "% Correct": [
                "% korrekt"
            ],
            "% of Total": [
                "% af totalt"
            ],
            "% of total": [
                "% af totalt"
            ],
            "% of Variance": [
                "% af varians"
            ],
            "% within column": [
                "% i kolonne"
            ],
            "% within row": [
                "% i række"
            ],
            "`ANCOVA - ${dep}`": [
                "`ANCOVA - ${dep}`"
            ],
            "`ANOVA - ${dep}`": [
                "`ANOVA - ${dep}`"
            ],
            "`Model Coefficients - ${ dep }`": [
                "`Modelkoefficienter - ${ dep }`"
            ],
            "`Model Coefficients - ${dep}`": [
                "`Modelkoefficienter - ${dep}`"
            ],
            "`Proportions - ${var}`": [
                "`Proportiooner - ${var}`"
            ],
            "±%": [
                "±%"
            ],
            "< Test value": [
                "< Testværdi"
            ],
            "≠ Test value": [
                "≠ Testværdi"
            ],
            "> Test value": [
                "> Testværdi"
            ],
            "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD": [
                "⁻ gennemsnit - 1SD, <sup>μ</sup> gennemsnit, ⁺ gennemsnit + 1SD"
            ],
            "1 - Specificity": [
                "1 - Specificitet"
            ],
            "2 Outcomes": [
                "2 Udfald"
            ],
            "25,50,75": [
                "25,50,75"
            ],
            "a (semi)partial correlation matrix table": [
                "en (semi)partiel korrelationsmatrix"
            ],
            "a correlation matrix plot": [
                "et korrelationsdiagram"
            ],
            "a correlation matrix table": [
                "en korrelationstabel"
            ],
            "a descriptives plot": [
                "et diagram med deskriptivstatistiske værdier"
            ],
            "A low p-value suggests a violation of the assumption of equal variances": [
                "En lav p-værdi antyder et brud på antagelsen om lige varianser"
            ],
            "A low p-value suggests a violation of the assumption of normality": [
                "En lav p-værdi antyder et brud på antagelsen om normalfordeling"
            ],
            "A nice correlation data set": [
                "Et fint korrelationsdatasæt"
            ],
            "a parameter": [
                "en parameter"
            ],
            "a post-hoc table": [
                "en post-hoc-tabell"
            ],
            "a proportions table": [
                "en proportionstabel"
            ],
            "a q-q plot": [
                "et Q-Q-diagram"
            ],
            "A repeated measures ANOVA data set": [
                "Et datasæt for ANOVA med gentagne målinger"
            ],
            "a summary of the groups": [
                "en opsummering af grupperne"
            ],
            "a table containing estimated marginal means": [
                "en tabel med de estimerede gennemsnitterne"
            ],
            "a table containing factor covariances estimates": [
                "en tabel med estimater for kovariansene af faktorerne"
            ],
            "a table containing factor intercept estimates": [
                "en tabel med estimater for skæringspunkterne af faktorerne"
            ],
            "a table containing fit measures": [
                "en tabelle med mål for modelltilpasning"
            ],
            "a table containing modification indices for the factor loadings not included in the model": [
                "en tabel med modifikationsindekser for faktorladingene som ikke er inkluderet i modellen"
            ],
            "a table containing modification indices for the residual covariances not included in the model": [
                "en tabel med modifikationsindekser for de residuale kovariansene som ikke er inkluderet i modellen"
            ],
            "a table containing residual covariances estimates": [
                "en tabel med estimater for kovariansene af residuene"
            ],
            "a table containing residual intercept estimates": [
                "en tabel med estimater for skæringspunkterne af residuene"
            ],
            "a table containing residuals for the observed correlation matrix": [
                "en tabel med residuene for den observerede korrelationsmatrix"
            ],
            "a table containing the chi-square test for exact fit": [
                "en tabel med kjikvadrattesten for eksakt tilpasning"
            ],
            "a table containing the collinearity statistics": [
                "en tabel med kolinearitetsstatistikk"
            ],
            "a table containing the descriptives": [
                "en tabel med deskriptivstatistikk"
            ],
            "a table containing the factor loadings": [
                "en tabel med faktorladinger"
            ],
            "a table containing the group descriptives": [
                "en tabel med deskriptivstatistikk for grupperne"
            ],
            "a table containing the homogeneity of variances tests": [
                "en tabel med tester på varianshomogenitet"
            ],
            "a table containing the normality test results": [
                "en tabel med tester på normalfordeling"
            ],
            "a table containing the normality tests": [
                "en tabel med tester på normalfordeling"
            ],
            "a table containing the results from the Box-Tidwell test": [
                "en tabel med resultater fra Box-Tidwell-testen"
            ],
            "a table containing the t-test results": [
                "en tabel med resultater fra t-testene"
            ],
            "a table of ANCOVA results": [
                "en tabel med resultater fra ANCOVA"
            ],
            "a table of ANOVA results": [
                "en tabel med resultater fra ANOVA"
            ],
            "a table of comparative measures": [
                "en tabel med komparative mål"
            ],
            "a table of homogeneity of variances tests": [
                "en tabel med tester på varianshomogenitet"
            ],
            "a table of homogeneity tests": [
                "en tabel med tester på varianshomogenitet"
            ],
            "a table of likelihood ratio tests": [
                "en tabel med likelihood-ratio-tester"
            ],
            "a table of model coefficient thresholds": [
                "en tabel med tærskler på modelkoefficienterne"
            ],
            "a table of model coefficients": [
                "en tabel med modelkoefficienter"
            ],
            "a table of normality tests": [
                "en tabel med tester på normalfordeling"
            ],
            "a table of post-hoc residuals": [
                ""
            ],
            "a table of predicted classifications": [
                "en tabel med de forventede klassifikationerne"
            ],
            "a table of predictive measures": [
                "en tabel med prediktive mål"
            ],
            "a table of proportions": [
                "en tabel med proportioner"
            ],
            "a table of test results": [
                "en tabel med testresultater"
            ],
            "a table of the 'nominal' test results": [
                "en tabel med de »nominelle« testresultaterne"
            ],
            "a table of the descriptive statistics": [
                "en tabel med deskriptivstatistikk"
            ],
            "a table of the Friedman test results": [
                "en tabel med resultater af Friedman-testen"
            ],
            "a table of the gamma test results": [
                "en tabel med resultater fra gamma-testen"
            ],
            "a table of the Kendall's tau-b test results": [
                "en tabel med resultater fra Kendalls tau-b-test"
            ],
            "a table of the Mantel-Haenszel test for trend": [
                "en tabel med Mantel-Haenszel-trendtesten"
            ],
            "a table of the pairwise comparisons": [
                "en tabel med parvise sammenligninger"
            ],
            "a table of the proportions": [
                "en tabel med proportioner"
            ],
            "a table of the proportions and test results": [
                "en tabel med proportioner og testresultater"
            ],
            "a table of the test results": [
                "en tabel med testresultaterne"
            ],
            "a table of χ² test results": [
                "en tabel med χ²-testresultater"
            ],
            "Accuracy": [
                "Nøjaktighed"
            ],
            "Add New Block": [
                "Læg til ny blok"
            ],
            "Add New Factor": [
                "Læg til ny faktor"
            ],
            "Add New Term": [
                "Læg til ny term"
            ],
            "Additional Options": [
                "Flere alternativer"
            ],
            "Additional Output": [
                "Tillægsresultater"
            ],
            "Additional Statistics": [
                "Tillægsstatistik"
            ],
            "Adjusted R²": [
                "Justeret R²"
            ],
            "AIC": [
                "AIC"
            ],
            "All observations are tied": [
                "Alle observationer har forbundne rangeringer"
            ],
            "Alternative hypothesis": [
                "Alternativhypotese"
            ],
            "an array of contrasts tables": [
                "et array med tabeller af kontraster"
            ],
            "an array of descriptive plots": [
                "et array med deskriptivstatistiske diagrammer"
            ],
            "an array of extreme values tables": [
                "en matrix af tabeller med ekstremværdier"
            ],
            "an array of frequency tables": [
                "et array med frekvenstabeller"
            ],
            "an array of groups of plots": [
                "et array med grupper af diagrammer"
            ],
            "an array of model specific results": [
                "et array af tabeller med modelspecifikke resultater"
            ],
            "an array of pairwise comparison tables": [
                "et array med tabeller af parvise sammenligninger"
            ],
            "an array of post-hoc tables": [
                "et array med post-hoc-tabeller"
            ],
            "an array of Q-Q plots": [
                "et array med Q-Q-diagrammer"
            ],
            "an array of the descriptive plots": [
                "en matrix med deskriptivstatistiske diagrammer"
            ],
            "an array of the estimated marginal means plots + tables": [
                "en array med diagrammer og tabeller, der viser de estimerede gennemsnitter"
            ],
            "an array of the posterior plots": [
                "en array med posterior-diagrammer"
            ],
            "an image containing the model path diagram": [
                "et billede med stidiagrammet af modellen"
            ],
            "an image of the descriptive plots": [
                "et billede med et deskriptivstatistisk diagram"
            ],
            "An uninspiring ANOVA data set": [
                "Et uinspirerende ANOVA-datasæt"
            ],
            "Analyses bundled with jamovi": [
                "Analyser, der er del af jamovi"
            ],
            "ANCOVA": [
                "Kovariansanalyse (ANCOVA)"
            ],
            "Anderson & Rubin": [
                "Anderson & Rubin"
            ],
            "Anderson's Iris Data": [
                "Andersons Iris-data"
            ],
            "ANOVA": [
                "ANOVA"
            ],
            "ANOVA test": [
                "ANOVA-test"
            ],
            "As there are no between subjects factors specified this assumption is always met.": [
                "Siden det ikke er nogle mellemsubjekt-faktorer specificerede, er forudsætningen altid opfyldt."
            ],
            "Assume equal (Fisher's)": [
                "Antag at være lig (Fishers)"
            ],
            "Assumption Checks": [
                "Check af forudsætninger"
            ],
            "Assumptions": [
                "Forudsætninger"
            ],
            "At least one variable must have two levels": [
                "Mindst en variabel skal have to niveauer"
            ],
            "AUC": [
                "AUC"
            ],
            "Autocorrelation": [
                "Autokorrelation"
            ],
            "Autocorrelation test": [
                "Autokorrelationstest"
            ],
            "Available for 2x2 tables only": [
                "Kun tilgængeligt for 2x2-tabeller"
            ],
            "b parameter": [
                "b-parameter"
            ],
            "Bar Plot": [
                "Stolpediagramm"
            ],
            "Bar plot": [
                "Stolpediagramm"
            ],
            "Bar Plots": [
                "Stolpediagrammer"
            ],
            "Bar Type": [
                "Stolpetype"
            ],
            "Bartlett": [
                "Bartlett"
            ],
            "Bartlett's Test of Sphericity": [
                "Bartletts test af sfæricitet"
            ],
            "Bartlett's test of sphericity": [
                "Bartletts test af sfæricitet"
            ],
            "Based on eigenvalue": [
                "Baseret på egenværdi"
            ],
            "Based on parallel analysis": [
                "Baseret på parallelanalyse"
            ],
            "Bayes factor": [
                "Bayes-faktor"
            ],
            "Bayes factor₁₀": [
                "Bayes-faktor.₁₀"
            ],
            "Bayesian Statistics": [
                "Bayesiansk statistik"
            ],
            "beta 'a' parameter": [
                "beta-»a«-parameter"
            ],
            "beta 'b' parameter": [
                "beta-»b«-Parameter"
            ],
            "Between Subject Factors": [
                "Mellemsubjektfaktorer"
            ],
            "Between Subjects Components": [
                "Mellemsubjektkomponenter"
            ],
            "Between Subjects Effects": [
                "Mellemsubjekteffekter"
            ],
            "BIC": [
                "BIC"
            ],
            "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)": [
                "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)"
            ],
            "Binomial": [
                "Binomial"
            ],
            "Binomial Logistic Regression": [
                "Binomial logistisk regression"
            ],
            "Binomial Test": [
                "Binomialtest"
            ],
            "Binomial test": [
                "Binomialtest"
            ],
            "Block {0}": [
                "Blok {0}"
            ],
            "Block 1": [
                "Blok 1"
            ],
            "Blocks": [
                "Blokke"
            ],
            "Bonferroni": [
                "Bonferroni"
            ],
            "Box plot": [
                "Boksplot"
            ],
            "Box Plots": [
                "Boksplotter"
            ],
            "Box-Tidwell test": [
                "Box-Tidwell-test"
            ],
            "Box-Tidwell Test for Linearity of the Logit": [
                "Box-Tidwell-test for linearitet af Logit"
            ],
            "Box's Homogeneity of Covariance Matrices Test": [
                "M-test af Box for homogenitet af kovariansmatriser"
            ],
            "Box's M test": [
                "M-test af Box"
            ],
            "Box's M test for homogeneity of covariance matrices": [
                "M-test af Box for homogenitet af kovariansmatriser"
            ],
            "Bugs (Ryan, Wilde & Crist, 2013)": [
                "Insekter (Ryan, Wilde & Crist, 2013)"
            ],
            "Cells": [
                "Celler"
            ],
            "Central Tendency": [
                "Central tendens"
            ],
            "CFI": [
                "CFI"
            ],
            "Chi-Square Quantiles": [
                "Kji-kvadrat-kvantiler"
            ],
            "CI Lower": [
                "CI nedre"
            ],
            "CI Upper": [
                "CI øvre"
            ],
            "Classification Table": [
                "Klassifikationstabel"
            ],
            "Classification table": [
                "Klassifikationstabel"
            ],
            "Classification Table – {dep}": [
                "Klassifikationstabel – {dep}"
            ],
            "Cohen's d": [
                "Cohens d"
            ],
            "Collinearity Statistics": [
                "Kolinearitetsstatistikk"
            ],
            "Collinearity statistics": [
                "Kolinearitetsstatistikk"
            ],
            "Column": [
                "Kolonne"
            ],
            "Column variable '{var}' contains fewer than 2 levels": [
                "Kolonnevariablen »{var}« indeholder færre end 2 niveauer"
            ],
            "Columns": [
                "Kolonner"
            ],
            "columns": [
                "kolonner"
            ],
            "Columns compared": [
                "Sammenlignede kolonner"
            ],
            "Comparative Measures": [
                "Sammenlignende mål"
            ],
            "Comparative Measures (2x2 only)": [
                "Sammenlignende mål (kun 2x2)"
            ],
            "Compare": [
                "Sammenligne"
            ],
            "Comparison": [
                "Sammenligning"
            ],
            "Comparisons are based on estimated marginal means": [
                "Sammenligninger er baseret på estimerede gjennomsnitter"
            ],
            "Component": [
                "Komponent"
            ],
            "Component correlations": [
                "Komponentkorrelationer"
            ],
            "Component Loadings": [
                "Komponentladinger"
            ],
            "Component scores": [
                "Komponentværdier"
            ],
            "Component Statistics": [
                "Komponentstatistik"
            ],
            "Component summary": [
                "Oversigt over komponenter"
            ],
            "component(s)": [
                "Komponent(er)"
            ],
            "Components": [
                "Komponenter"
            ],
            "components": [
                "Komponenter"
            ],
            "Confidence Interval": [
                "Konfidensintervall"
            ],
            "Confidence interval": [
                "Konfidensintervall"
            ],
            "Confidence interval for Mean": [
                "Konfidensintervall for gennemsnit"
            ],
            "Confidence interval width": [
                "Bredde på konfidensintervall"
            ],
            "Confidence Intervals": [
                "Konfidensintervaller"
            ],
            "Confidence intervals": [
                "Konfidensintervaller"
            ],
            "Confidence level": [
                "Konfidensniveau"
            ],
            "Confirmatory Factor Analysis": [
                "Konfirmatorisk faktoranalyse"
            ],
            "Constraints": [
                "Begrænsninger (constraints)"
            ],
            "Contingency coefficient": [
                "Kontingenskoeffizient"
            ],
            "Contingency Tables": [
                "Krydstabeller"
            ],
            "Contrasts": [
                "Kontraster"
            ],
            "Contrasts - $key": [
                "Kontraster - $key"
            ],
            "Control Variables": [
                "Variabler, der bliver kontrollerede"
            ],
            "Control variables": [
                "Variabler, der bliver kontrollerede"
            ],
            "controlling for {items}": [
                "Kontrollere for {items}"
            ],
            "Cook's Distance": [
                "Cooks afstand"
            ],
            "Cook's distance": [
                "Cooks afstand"
            ],
            "Correction": [
                "Korrektion"
            ],
            "Corrections": [
                "Korrektioner"
            ],
            "Correlated": [
                "Korreleret"
            ],
            "Correlated negatively": [
                "Negativt korreleret"
            ],
            "Correlated positively": [
                "Positivt korreleret"
            ],
            "Correlation": [
                "Korrelation"
            ],
            "Correlation Coefficients": [
                "Korrelationskoefficienter"
            ],
            "Correlation Heatmap": [
                "Korrelations-Heatmap"
            ],
            "Correlation heatmap": [
                "Korrelations-Heatmap"
            ],
            "Correlation matrices are a way to examine linear relationships between\ntwo or more continuous variables.": [
                "Korrelationsmatrixer tillader at undersøge lineære sammenhænge mellem\nto eller flere kontinuerlige variabler."
            ],
            "Correlation matrices are a way to examine linear relationships between\ntwo or more continuous variables.\n\nFor each pair of variables, a Pearson's r value indicates the strength\nand direction of the relationship between those two variables. A\npositive value indicates a positive relationship (higher values of one\nvariable predict higher values of the other variable). A negative\nPearson's r indicates a negative relationship (higher values of one\nvariable predict lower values of the other variable, and vice-versa).\nA value of zero indicates no relationship (whether a variable is high\nor low, does not tell us anything about the value of the other\nvariable).\n\nMore formally, it is possible to test the null hypothesis that the\ncorrelation is zero and calculate a p-value. If the p-value is low, it\nsuggests the correlation co-efficient is not zero, and there is a linear\n(or more complex) relationship between the two variables.": [
                "Korrelationsmatrixer tillader at undersøge lineære sammenhænge mellem\nto eller flere kontinuerlige variabler.\n\nFor hvert par af variabler angiver en Pearsons r-værdi styrken\nog retningen for forholdet mellem disse to variabler. En\npositiv værdi indikerer en positiv relation (højere værdier af den første\nvariabel tilsvarer med højere værdier for den anden variabel). Et\nnegativt Pearsons r angiver en negativ relation (højere værdier af den første\nvariabel tilsvarer med lavere værdier for den anden variabel og\nomvendt). Hvis værdien af r er nært nul, så består ingen relation (om den\nførste variabel er høj eller lav, fortæller os ikke noget om værdien af den\nanden variabel).\n\nMere formelt er der muligt at teste nulhypotesen om at\nkorrelationen er nul og beregner en p-værdi. Hvis p-værdien er lav,\nantyder det at korrelationkoeffisienten er forskellig fra nul, og at det er en\nlineær (eller mere kompleks) relation mellem de to variabler."
            ],
            "Correlation Matrix": [
                "Korrelationsmatrix"
            ],
            "Correlation matrix": [
                "Korrelationsmatrix"
            ],
            "Correlation Type": [
                "Korrelationstype"
            ],
            "Correlation type": [
                "Korrelationstype"
            ],
            "Count": [
                "Antal"
            ],
            "Counts": [
                "Antal"
            ],
            "Counts (optional)": [
                "Antal (valgfrit)"
            ],
            "Counts may not be infinite": [
                "Antal kan ikke være uendelige"
            ],
            "Counts may not be negative": [
                "Antal kan ikke være negative"
            ],
            "Counts must be non-negative and finite": [
                "Talet må vera ikkje-negativt og endeleg"
            ],
            "Covariates": [
                "Kovariater"
            ],
            "Cox & Snell's R²": [
                "R² efter Cox & Snell"
            ],
            "Cramer's V": [
                "Cramers V"
            ],
            "Credible Interval": [
                "Troværdigt interval"
            ],
            "Credible intervals": [
                "Troværdige intervaller"
            ],
            "Cronbach's α": [
                "Cronbachs α"
            ],
            "Cronbach's α (if item is dropped)": [
                "Cronbachs α (hvis spørgsmål blir fjerna)"
            ],
            "cubic": [
                "kubisk"
            ],
            "Cumulative %": [
                "Kumuleret %"
            ],
            "Cut point values": [
                "Grænseværdier (cut points)"
            ],
            "Cut points for": [
                "Grænseværdier (cut point) for"
            ],
            "Cut-Off": [
                "Grænseværdi (cut-off)"
            ],
            "Cut-Off Plot": [
                "Cut-Off-Plot"
            ],
            "Cut-off plot": [
                "Cut-off-Plot"
            ],
            "Cut-off value": [
                "Grænseværdi (cut-off)"
            ],
            "Data": [
                "Data"
            ],
            "Data Reduction": [
                "Datareduktion"
            ],
            "Data set is currently unweighted": [
                "Datasættet er for øjeblikket uvektet"
            ],
            "Data Summary": [
                "Sammendrag af data"
            ],
            "Densities for variables": [
                "Tætheder for variabler"
            ],
            "Density": [
                "Tæthed"
            ],
            "Dependent": [
                "Afhængig"
            ],
            "Dependent Variable": [
                "Afhængig variabel"
            ],
            "Dependent variable '{dep}' contains infinite values": [
                "Den afhængige variabel »{dep}« indeholder uendelige værdier"
            ],
            "Dependent variable '{dep}' contains no data (after removing rows with missing values)": [
                "Den afhængige variabel »{dep}« indeholder ingen data (efter at have fjernet rækker med manglende værdier)"
            ],
            "Dependent variable '{dep}' contains only one unique value (after removing rows with missing values)": [
                "Den afhængige variabel »{dep}« indeholder kun en unik værdi (efter at have fjernet rækker med manglende værdier)"
            ],
            "Dependent variable '{dep}' must be continuous": [
                "Den afhængige variabel »{dep}« skal være kontinuerlig"
            ],
            "Dependent Variable Label": [
                "Label for afhængig variabel"
            ],
            "Dependent Variables": [
                "Afhængige variabler"
            ],
            "Dependent variables are very highly correlated": [
                "De afhængige variablerne er vældig højt korreleret"
            ],
            "deprecated": [
                "afviklede"
            ],
            "Descriptive Plot": [
                "Deskriptivt diagram"
            ],
            "Descriptive plot": [
                "Deskriptivt diagram"
            ],
            "Descriptives": [
                "Deskriptivstatistikk"
            ],
            "Descriptives are an assortment of summarising statistics, and visualizations which allow exploring the shape and distribution of data. It is good practice to explore your data with descriptives before proceeding to more formal tests.": [
                "Deskriptivstatistikk er et udvalg af opsummerende statistikker og visualiseringer. De gør det muligt at udforske formen og fordelingen af data. Det er luret at udforske dataene deskriptivstatistisk før en går videre til inferensstatistiske tester."
            ],
            "descriptives plot": [
                "Deskriptivstatistisk diagram"
            ],
            "Descriptives Plots": [
                "Deskriptive diagrammer"
            ],
            "Descriptives plots": [
                "Deskriptive diagrammer"
            ],
            "Descriptives Table": [
                "Tabel med deskriptivstatistikk"
            ],
            "Descriptives table": [
                "Tabel med deskriptivstatistikk"
            ],
            "Deviance": [
                "Afvigelse"
            ],
            "Deviance residuals": [
                ""
            ],
            "Deviance residuals (Poisson GLM)": [
                ""
            ],
            "Deviance residuals are adjusted residuals from a Poisson GLM.": [
                ""
            ],
            "Deviation": [
                "Afvigelse"
            ],
            "df": [
                "df"
            ],
            "df1": [
                "df1"
            ],
            "df2": [
                "df2"
            ],
            "Difference": [
                "Difference"
            ],
            "Difference in 2 proportions": [
                "Difference i 2 proportioner"
            ],
            "Difference in proportions": [
                "Difference i proportioner"
            ],
            "Dispersion": [
                "Spredning"
            ],
            "Distribution": [
                "Fordeling"
            ],
            "Does not support weighted data yet.": [
                ""
            ],
            "Don't assume equal (Welch's)": [
                "Ikke antag lig varians (Welch's)"
            ],
            "drag variable here": [
                "drag variablen herhen"
            ],
            "drag variables here": [
                "drag variablerne herhen"
            ],
            "DSCF pairwise comparisons": [
                "Parvise sammenligninger efter DSCF"
            ],
            "Dunn's pairwise comparisons": [
                ""
            ],
            "Durbin–Watson Test for Autocorrelation": [
                "Durbin–Watson-test for autokorrelation"
            ],
            "DW Statistic": [
                "DW-statistik"
            ],
            "Dwass-Steel-Critchlow-Fligner pairwise comparisons": [
                "Parvise sammenligninger efter Dwass-Steel-Critchlow-Fligner"
            ],
            "Effect Size": [
                "Effektstørrelse"
            ],
            "Effect size": [
                "Effektstørrelse"
            ],
            "Eigenvalue": [
                "Eigenværdi"
            ],
            "Eigenvalues": [
                "Eigenværdier"
            ],
            "Eigenvalues greater than": [
                "Eigenværdier større end"
            ],
            "Empty cells in between subject design: at least one combination of between subject factor levels has 0 observations": [
                "Tomme celler i mellemsubjekt-design: mindst en kombination af niveauer på mellemsubjekt-faktorerne har 0 observationer"
            ],
            "Equal cell weights": [
                "Celler er vægtede ligeligt"
            ],
            "equal groups": [
                "grupper med lig størrelse"
            ],
            "error %": [
                "% fejl"
            ],
            "Error bars": [
                "Usikkerhedsstolper"
            ],
            "Estimate": [
                "Estimat"
            ],
            "Estimate (Log Odds Ratio)": [
                "Estimat (Log-odds-ratio)"
            ],
            "Estimate (Log Rate Ratio)": [
                "Estimat (Log-rate-ratio)"
            ],
            "Estimated Marginal Means": [
                "Estimeret gennemsnit"
            ],
            "Estimated Marginal Means - {term}": [
                "Estimeret gennemsnit - {term}"
            ],
            "Estimates": [
                "Estimater"
            ],
            "Estimates represent the log odds of …": [
                "Estimater repræsenterer log-odds-ratioer for …"
            ],
            "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\"": [
                "Estimater repræsenterer log-odds-ratioer for »{dep} = {level1}« imod »{dep} = {level2}«"
            ],
            "Estimation method": [
                "Estimeringsmetode"
            ],
            "Exclude cases analysis by analysis": [
                "Ekskluder per analyse"
            ],
            "Exclude cases listwise": [
                "Ekskluder listevis"
            ],
            "Excluded": [
                "Ekskluderet"
            ],
            "Expected": [
                "Forventede"
            ],
            "Expected counts": [
                "Forventede antal"
            ],
            "Expected Proportions": [
                "Forventede proportioner"
            ],
            "Exploration": [
                "Eksploration"
            ],
            "Exploratory Factor Analysis": [
                "Eksploratorisk faktoranalyse"
            ],
            "Extraction": [
                "Ekstraktion"
            ],
            "Extreme values": [
                "Ekstremværdier"
            ],
            "Extreme Values": [
                "Ekstremværdier"
            ],
            "Extreme values of $key": [
                "Ekstremværdier for $key"
            ],
            "F": [
                "F"
            ],
            "F test": [
                "F-test"
            ],
            "F-statistic could not be calculated": [
                "F-statistik kan ikke beregnes"
            ],
            "Factor": [
                "Faktor"
            ],
            "Factor '{factor}' has less than two levels. Factors must have at least two levels": [
                "Faktor »{faktor}« har mindre end to niveauer. Faktorer skal have mindst to niveauer"
            ],
            "Factor '{factor}' needs to have at least 2 levels": [
                "Faktor »{faktor}« skal have mindst 2 niveauer"
            ],
            "Factor '{factorName}' contains no data (after removing rows with missing values)": [
                "Faktor »{factorName}« indeholder ingen data (efter at have fjernet rækker med manglende værdier)"
            ],
            "Factor '{factorName}' contains only a single level (after removing rows with missing values)": [
                "Faktor »{factorName}« indeholder kun et faktorniveau (efter at have fjernet rækker med manglende værdier)"
            ],
            "Factor '{factorName}' contains unused levels (after removing rows with missing values)": [
                "Faktor »{factorName}« indeholder faktorniveauer, der bliver ikke brugte (efter at have fjernet rækker med manglende værdier)"
            ],
            "Factor {0}": [
                "Faktor {0}"
            ],
            "Factor 1": [
                "Faktor 1"
            ],
            "Factor correlations": [
                "Faktorkorrelationer"
            ],
            "Factor Covariances": [
                "Faktorkovarianser"
            ],
            "Factor covariances": [
                "Faktorkovarianser"
            ],
            "Factor Estimates": [
                "Estimater for faktorerne"
            ],
            "Factor Intercepts": [
                "Skæringspunkt for faktor"
            ],
            "Factor intercepts": [
                "Skæringspunkter for faktorer"
            ],
            "Factor Loadings": [
                "Faktorladinger"
            ],
            "Factor Loadings – Modification Indices": [
                "Faktorladinger – Modifikationsindekser"
            ],
            "Factor scores": [
                "Faktorværdier (scores)"
            ],
            "Factor Statistics": [
                "Statistik for faktorer"
            ],
            "Factor summary": [
                "Sammendrag af faktorer"
            ],
            "Factor variances = 1": [
                "Faktorvarianser = 1"
            ],
            "factor(s)": [
                "Faktor(er)"
            ],
            "Factors": [
                "Faktorer"
            ],
            "factors": [
                "Faktorer"
            ],
            "Fisher's": [
                "Fishers"
            ],
            "Fisher's exact test": [
                "Fishers eksakt test"
            ],
            "Fit Measures": [
                "Mål for modelltilpasning"
            ],
            "Fitted": [
                "Tilpasset (fitted)"
            ],
            "Fixed Factors": [
                "Faste faktorer"
            ],
            "Fixed number": [
                "Fast antal"
            ],
            "fixed parameter": [
                "fast parameter"
            ],
            "Flag significant comparisons": [
                "Marker signifikante sammenligninger"
            ],
            "Flag significant correlations": [
                "Marker signifikante korrelationer"
            ],
            "flag significant correlations (p < .05) with symbols.": [
                "marker signifikante korrelationer (p < .05) med symboler."
            ],
            "flag significant post-hoc comparisons.": [
                "marker signifikante post-hoc-sammenligninger."
            ],
            "Frequencies": [
                "Frekvenser"
            ],
            "Frequencies of $key": [
                "Frekvenser af $key"
            ],
            "Frequency tables": [
                "Frekvenstabeller"
            ],
            "Friedman": [
                "Friedman"
            ],
            "Full information maximum likelihood": [
                "Maximum-likelihood-estimat baseret på fuldstændig information"
            ],
            "Games-Howell (unequal variances)": [
                "Games-Howell (for forskellige varianser)"
            ],
            "Games-Howell Post-Hoc Test – {dep}": [
                "Games-Howell post-hoc-test – {dep}"
            ],
            "Gamma": [
                "Gamma"
            ],
            "General Options": [
                "Generelle optioner"
            ],
            "Generalised η²": [
                "Generaliseret η²"
            ],
            "Grand mean (simple coding)": [
                "Totalgennemsnit (ved enkel koding)"
            ],
            "Greenhouse-Geisser": [
                "Greenhouse-Geisser"
            ],
            "Greenhouse-Geisser ε": [
                "Greenhouse-Geisser ε"
            ],
            "Group": [
                "Gruppe"
            ],
            "Group 1": [
                "Gruppe 1"
            ],
            "Group 1 < Group 2": [
                "Gruppe 1 < Gruppe 2"
            ],
            "Group 1 ≠ Group 2": [
                "Gruppe 1 ≠ Gruppe 2"
            ],
            "Group 1 > Group 2": [
                "Gruppe 1 > Gruppe 2"
            ],
            "Group 2": [
                "Gruppe 2"
            ],
            "Group Descriptives": [
                "Deskriptivstatistikk for grupperne"
            ],
            "Group Summary": [
                "Sammendrag per gruppe"
            ],
            "Group summary": [
                "Sammendrag per gruppe"
            ],
            "Grouping Variable": [
                "Grupperingsvariabel"
            ],
            "Grouping variable '{a}' has less than 2 levels after missing values are excluded": [
                "Grupperingsvariablen »{a}« har mindre end 2 niveauer efter at manglende værdier er ekskluderede"
            ],
            "Grouping variable '{a}' must have exactly 2 levels": [
                "Grupperingsvariablen »{a}« skal have eksakt 2 niveauer"
            ],
            "Grouping variable '{a}' must not also be a dependent variable": [
                "Grupperingsvariabel »{a}« skal ikke også være en afhængig variabel"
            ],
            "Hₐ is negative correlation": [
                "Hₐ er en negativ korrelation"
            ],
            "Hₐ is positive correlation": [
                "Hₐ er en positiv korrelation"
            ],
            "Hₐ is proportion {direction} {testValue}": [
                "Hₐ er, at andelen er {direction} {testValue}"
            ],
            "Haldane-Anscombe correction applied": [
                "Haldane-Anscombe-korrektion anvendt"
            ],
            "Harman": [
                "Harman"
            ],
            "Helmert": [
                "Helmert"
            ],
            "hidden": [
                "skjult"
            ],
            "Hide loadings below": [
                "Skjul ladinger under"
            ],
            "Highlight values above": [
                "Accentuer værdierne over"
            ],
            "Histogram": [
                "Histogram"
            ],
            "Histograms": [
                "Histogrammer"
            ],
            "Holm": [
                "Holm"
            ],
            "Homogeneity of Variances Test (Levene's)": [
                "Test på varianshomogenitet (Levene's)"
            ],
            "Homogeneity test": [
                "Homogenitetstest"
            ],
            "Hotelling's Trace": [
                "Hotellings spor"
            ],
            "Huynh-Feldt": [
                "Huynh-Feldt"
            ],
            "Huynh-Feldt ε": [
                "Huynh-Feldt ε"
            ],
            "Hypothesis": [
                "Hypotese"
            ],
            "If item dropped": [
                "Hvis item (spørgsmål) blir fjerna"
            ],
            "include a summary of the groups": [
                "læg til et sammendrag af grupperne"
            ],
            "Independent Samples": [
                "Uafhængige prøver"
            ],
            "Independent Samples T-Test": [
                "Uafhængigt t-test"
            ],
            "Indicator": [
                "Indikator"
            ],
            "Initial Eigenvalues": [
                "Oprindelige eigenværdier"
            ],
            "Initial eigenvalues": [
                "Oprindelige eigenværdier"
            ],
            "Inter-Component Correlations": [
                "Korrelationer mellem komponenter"
            ],
            "Inter-Factor Correlations": [
                "Korrelationer mellem faktorer"
            ],
            "Intercept": [
                "Skæringspunkt"
            ],
            "Interval": [
                "Interval"
            ],
            "IQR": [
                "IQR"
            ],
            "It appears that your model has a \\": [
                ""
            ],
            "Item '{item}' consists of one level only": [
                "Item »{item}« har kun et niveau"
            ],
            "Item '{item}' contains infinite values": [
                "Item »{item}« indeholder uendelige værdier"
            ],
            "Item '{item}' contains only missing values": [
                "Item »{item}« indeholder kun manglende værdier"
            ],
            "Item '{item}' has no variance": [
                "Item »{item}« har ingen varians"
            ],
            "Item '{item}' needs to be numeric": [
                "Item »{item}« skal være numerisk"
            ],
            "item {item} correlates negatively with the total scale and probably should be reversed": [
                "item {items} korrelerer negativt med hele skalaen og bør inverteres"
            ],
            "Item Reliability Statistics": [
                "Statistik på item-reliabilitet"
            ],
            "Item Statistics": [
                "Item-statistik"
            ],
            "Item-rest correlation": [
                "Item-rest-korrelation"
            ],
            "Items": [
                "Items"
            ],
            "items {items} correlate negatively with the total scale and probably should be reversed": [
                "item {items} korrelerer negativt med hele skalaen og bør inverteres"
            ],
            "Jittered": [
                "Jittered"
            ],
            "Kendall's Tau B": [
                "Kendalls Tau-b"
            ],
            "Kendall's Tau-B": [
                "Kendalls Tau-b"
            ],
            "Kendall's Tau-b": [
                "Kendalls Tau-b"
            ],
            "Kendall's tau-b": [
                "Kendalls Tau-b"
            ],
            "KMO Measure of Sampling Adequacy": [
                "KMO-mål for tilstrækkelig prøvetagning"
            ],
            "KMO measure of sampling adequacy": [
                "KMO-mål for tilstrækkelig prøvetagning"
            ],
            "Kruskal-Wallis": [
                "Kruskal-Wallis"
            ],
            "Kurtosis": [
                "Kurtosis"
            ],
            "Label outliers": [
                "Marker uteliggere"
            ],
            "Layers": [
                "Lag"
            ],
            "Level": [
                "Niveau"
            ],
            "Level 1": [
                "Niveau 1"
            ],
            "Level 2": [
                "Niveau 2"
            ],
            "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances": [
                "Levenes test er signifikant (p < .05), noget som tyder på et brud på antagelsen om lige varianser"
            ],
            "Likelihood": [
                "Sandsynlighed"
            ],
            "Likelihood ratio": [
                "Sandsynlighedsforhold"
            ],
            "Likelihood ratio tests": [
                "Tester af sandsynlighedsforhold"
            ],
            "linear": [
                "lineær"
            ],
            "Linear Regression": [
                "Lineær regression"
            ],
            "Linear regression is used to explore the relationship between a continuous dependent variable, and one or more continuous and/or categorical explanatory variables. Other statistical methods, such as ANOVA and ANCOVA, are in reality just forms of linear regression.": [
                "Lineær regression bruges til at udforske forholdet mellem en kontinuerligt afhængig variabel og en eller flere kontinuerlige og/eller kategoriske forklarende variabler. Andre statistiske metoder, som ANOVA og ANCOVA, er i realiteten kun former for lineær regression."
            ],
            "Log odds ratio": [
                "Log-odds-ratio"
            ],
            "Log odds ratio exact": [
                "Eksakt log-odds-ratio"
            ],
            "Log-Linear Regression": [
                "Log-lineær regression"
            ],
            "Logistic Regression": [
                "Logistisk regression"
            ],
            "Lower": [
                "Nedre"
            ],
            "lower bound": [
                "nedre grænse"
            ],
            "Mahalanobis ChiSq": [
                ""
            ],
            "Mahalanobis distance": [
                ""
            ],
            "Mahalanobis Distance": [
                ""
            ],
            "Mahalanobis distance (Chi sq.)": [
                ""
            ],
            "Mahalanobis distance (p)": [
                ""
            ],
            "Mahalanobis distance can only be calculated for models with two or more covariates": [
                ""
            ],
            "Mahalanobis p": [
                ""
            ],
            "MANCOVA": [
                "MANCOVA"
            ],
            "Mann-Whitney U": [
                "Mann-Whitney U"
            ],
            "Mantel-Haenszel": [
                "Mantel-Haenszel"
            ],
            "Mantel-Haenszel Test for Trend": [
                "Mantel-Haenszel-trendtest"
            ],
            "Marginal Mean": [
                "Gennemsnit"
            ],
            "Marginal Means": [
                "Gjennomsnitter"
            ],
            "Marginal means plots": [
                "Diagram med gennemsnit"
            ],
            "Marginal means tables": [
                "Tabel med gennemsnit"
            ],
            "Mauchly's W": [
                "Mauchlys W"
            ],
            "Max": [
                "Maks"
            ],
            "Maximum": [
                "Maksimum"
            ],
            "Maximum likelihood": [
                "Maximum likelihood"
            ],
            "McDonald's ω": [
                "McDonalds ω"
            ],
            "McDonald's ω (if item is dropped)": [
                "McDonalds ω (hvis spørgsmål blir fjerna)"
            ],
            "McFadden's R²": [
                "McFaddens R²"
            ],
            "McNemar requires a 2x2 table": [
                "McNemar kræver en 2x2 tabelle"
            ],
            "McNemar Test": [
                "McNemar-test"
            ],
            "McNemar test": [
                "McNemar-test"
            ],
            "Mean": [
                "Gennemsnit"
            ],
            "Mean ({ciWidth}% CI)": [
                "Gennemsnit ({ciWidth}% KI)"
            ],
            "Mean Difference": [
                "Gennemsnitlig forskel"
            ],
            "Mean difference": [
                "Gennemsnitlig difference"
            ],
            "Mean Dispersion": [
                "Gennemsnitlig spredning"
            ],
            "Mean score": [
                "Gennemsnitsscore"
            ],
            "Mean Square": [
                "Varians"
            ],
            "Means": [
                "Gennemsnit"
            ],
            "Measure": [
                "Måling"
            ],
            "Measure 1 - Measure 2": [
                "Måling 1 - Måling 2"
            ],
            "Measure 1 < Measure 2": [
                "Måling 1 < Måling 2"
            ],
            "Measure 1 ≠ Measure 2": [
                "Måling 1 ≠ Måling 2"
            ],
            "Measure 1 > Measure 2": [
                "Måling 1 > Måling 2"
            ],
            "Measures": [
                "Målinger"
            ],
            "Median": [
                "Median"
            ],
            "Medians": [
                "Medianer"
            ],
            "Method": [
                "Metode"
            ],
            "Min": [
                "Min"
            ],
            "Minimum": [
                "Minimum"
            ],
            "Minimum residual": [
                "Mindst residuum"
            ],
            "Minimum residuals": [
                "Mindste residuer"
            ],
            "Minimum value": [
                "Minimumsværdi"
            ],
            "Missing": [
                "Mangler"
            ],
            "Missing Values": [
                "Manglende værdier"
            ],
            "Missing values": [
                "Manglende værdier"
            ],
            "Missing values exclusion method": [
                "Metode for at ekskludere manglende værdier"
            ],
            "Missing Values Method": [
                "Metode for manglende værdier"
            ],
            "Mode": [
                "Modus"
            ],
            "Model": [
                "Model"
            ],
            "Model Builder": [
                "Opsæt model"
            ],
            "Model Coefficients": [
                "Modelkoefficienter"
            ],
            "Model Comparisons": [
                "Modelsammenligninger"
            ],
            "Model Fit": [
                "Modeltilpasning"
            ],
            "Model fit issue detected!": [
                ""
            ],
            "Model Fit Measures": [
                "Mål for modeltilpasning"
            ],
            "Model fit measures": [
                "Mål for modeltilpasning"
            ],
            "Model Specific Results": [
                "Modelspecifikke resultater"
            ],
            "Model Terms": [
                "Modeltermer"
            ],
            "Model Test": [
                "Modeltest"
            ],
            "Model Thresholds": [
                "Modeltærskler"
            ],
            "Model thresholds": [
                "Modeltærskler"
            ],
            "Models estimated using sample size of N={n}": [
                ""
            ],
            "Modification Indices": [
                "Modifikationsindekser"
            ],
            "Modification indices": [
                "Modifikationsindekser"
            ],
            "Monte Carlo simulation": [
                "Monte Carlo-simulation"
            ],
            "More than one mode exists, only the first is reported": [
                "Der er mere end en modus, kun den første berettes"
            ],
            "Most extreme": [
                "Mest ekstreme"
            ],
            "MSA": [
                "MSA"
            ],
            "Multinomial": [
                "Multinominel"
            ],
            "Multinomial Logistic Regression": [
                "Multinomisk logistisk regression"
            ],
            "Multivariate Analysis of (Co)Variance (MANCOVA) is used to explore the relationship between multiple dependent variables, and one or more categorical and/or continuous explanatory variables.": [
                "Den multivariate kovariansanalysen (MANCOVA) bruges til at udforske sammenhænge mellem flere afhængige variabler og en eller flere kategoriske og/eller kontinuerlige forklaringsvariabler."
            ],
            "Multivariate Statistics": [
                "Multivariat statistik"
            ],
            "Multivariate Tests": [
                "Multivariate tester"
            ],
            "N": [
                "N"
            ],
            "N Outcomes": [
                "N Utfall"
            ],
            "Nagelkerke's R²": [
                "Nagelkerkes R²"
            ],
            "No components have an eigenvalue greater than {value}": [
                "Ingen komponenter har en eigenværdi som er større end {value}"
            ],
            "No correction": [
                "Ingen korrektion"
            ],
            "No factors defined. Box's M test is only relevant when model contains factors.": [
                "Ingen faktorer er definerede. M-test af Box er kun relevant når modellen indeholder faktorer."
            ],
            "Nominal": [
                "Nominel"
            ],
            "Non-Parametric": [
                "Ikke-parametrisk"
            ],
            "None": [
                "Ingen"
            ],
            "none": [
                "ingen"
            ],
            "Normal Scaled Items": [
                "Normalskalerede items"
            ],
            "Normality": [
                "Antagelse af normalfordeling"
            ],
            "Normality test": [
                "Test på normalfordeling"
            ],
            "Normality Test (Shapiro-Wilk)": [
                "Test på normalfordeling (Shapiro-Wilk)"
            ],
            "Not all coefficients could be estimated (likely due to singular fit)": [
                "Ikke alle koefficienter kunne estimeres (sandsynligvis fordi resultatmatrixen er singulær)"
            ],
            "Not all statistics support weighted data yet.": [
                ""
            ],
            "Not available due to too large number of cases (> 5000).": [
                "Ikke tilgængeligt på grund af for stort antal målinger (> 5000)."
            ],
            "Not enough degrees of freedom to estimate all the model effects": [
                "Ikke nok frihedsgrader til at estimere alle modeleffekter"
            ],
            "Number of Components": [
                "Antal komponenter"
            ],
            "Number of components": [
                "Antal komponenter"
            ],
            "Number of extreme values": [
                "Antal ekstremværdier"
            ],
            "Number of Factors": [
                "Antal faktorer"
            ],
            "Number of factors": [
                "Antal faktorer"
            ],
            "Number of requested extreme values is higher than the number of rows in the data.": [
                "Antal forespurgte ekstremværdier er højere end antal rækker i dataene."
            ],
            "Oblimin": [
                "Oblimin"
            ],
            "oblimin": [
                "Oblimin"
            ],
            "Observed": [
                "Observeret"
            ],
            "Observed counts": [
                "Observeret (antal)"
            ],
            "Observed scores": [
                "Observerede scorer"
            ],
            "octic": [
                "oktisk"
            ],
            "Odds Ratio": [
                "Odds-ratio"
            ],
            "Odds ratio": [
                "Odds-ratio"
            ],
            "of total": [
                "af totalt"
            ],
            "Omnibus ANOVA Test": [
                "Omnibus ANOVA-test"
            ],
            "Omnibus Likelihood Ratio Tests": [
                "Omnibus Likelihood-Ratio-tester"
            ],
            "Omnibus Test": [
                "Omnibus-test"
            ],
            "Omnibus Tests": [
                "Omnibus-tester"
            ],
            "One or both groups do not contain enough observations": [
                "En eller begge grupper indeholder ikke nok observationer"
            ],
            "One or both variables are not numeric": [
                "En af eller begge variabler er ikke numeriske"
            ],
            "One or both variables contain infinite values": [
                "Mindst en variable indeholder uendelige værdier"
            ],
            "One or both variables contain no observations": [
                "Mindst en variable indeholder ingen observationer"
            ],
            "One or both variables do not contain enough observations": [
                "Mindst en variable indeholder ikke nok observationer"
            ],
            "One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity.": [
                "Mindst en koefficient i modellen '{modelNo}' kunne ikke estimeres på grund af perfekt kollinearitet."
            ],
            "One Sample Proportion Tests": [
                "Proportionstests med et udvalg"
            ],
            "One Sample T-Test": [
                "t-test for et udvalg"
            ],
            "One-Way ANOVA": [
                "ANOVA med en faktor"
            ],
            "One-Way ANOVA (Fisher's)": [
                "ANOVA med en faktor (Fisher)"
            ],
            "One-Way ANOVA (Non-parametric)": [
                "ANOVA med en faktor (ikke-parametrisk)"
            ],
            "One-Way ANOVA (Welch's)": [
                "ANOVA med en faktor (Welch)"
            ],
            "Options": [
                "Optioner"
            ],
            "Ordinal": [
                "Ordinal"
            ],
            "Ordinal Logistic Regression": [
                "Ordinal logistisk regression"
            ],
            "Ordinal Outcomes": [
                "Ordinale resultater"
            ],
            "Outliers": [
                "Uteliggere"
            ],
            "Output": [
                "Udgave"
            ],
            "Overall": [
                "Alt i alt"
            ],
            "Overall model": [
                "Hele model"
            ],
            "Overall Model Test": [
                "Test af den hele model"
            ],
            "Overall model test": [
                "Test af den hele model"
            ],
            "p": [
                "p"
            ],
            "p <": [
                ""
            ],
            "p-value": [
                "p-værdi"
            ],
            "p<sub>(Bonferroni)</sub>": [
                ""
            ],
            "p<sub>(unadj)</sub>": [
                ""
            ],
            "p<sub>bonferroni</sub>": [
                "p<sub>Bonferroni</sub>"
            ],
            "p<sub>holm</sub>": [
                "p<sub>Holm</sub>"
            ],
            "p<sub>scheffe</sub>": [
                "p<sub>Scheffé</sub>"
            ],
            "p<sub>tukey</sub>": [
                "p<sub>Tukey</sub>"
            ],
            "Paired Samples": [
                "Parrede stikprøver"
            ],
            "Paired Samples Contingency Tables": [
                "Krydstabeller for parrede stikprøver"
            ],
            "Paired Samples T-Test": [
                "Parret t-test"
            ],
            "Paired Variables": [
                "Parrede variabler"
            ],
            "Pairwise comparisons - $key": [
                "Parvise sammenligninger - $key"
            ],
            "Pairwise Comparisons (Durbin-Conover)": [
                "Parvise sammenligninger (Durbin-Conover)"
            ],
            "Pairwise comparisons (Durbin-Conover)": [
                "Parvise sammenligninger (Durbin-Conover)"
            ],
            "Partial": [
                "Partiel"
            ],
            "Partial Correlation": [
                "Partiel korrelation"
            ],
            "Partial correlation matrices are a way to examine linear relationships\nbetween two or more continuous variables while controlling for other\nvariables": [
                "Partielle korrelationer er en måde at undersøge lineære relationer mellem\nto eller flere kontinuerlige variabler, mens en kontrollerer for andre\nvariabler"
            ],
            "Partial correlation matrices are a way to examine linear relationships\nbetween two or more continuous variables while controlling for other\nvariables\n\nFor each pair of variables, a Pearson's r value indicates the strength\nand direction of the relationship between those two variables. A\npositive value indicates a positive relationship (higher values of one\nvariable predict higher values of the other variable). A negative\nPearson's r indicates a negative relationship (higher values of one\nvariable predict lower values of the other variable, and vice-versa).\nA value of zero indicates no relationship (whether a variable is high\nor low, does not tell us anything about the value of the other\nvariable).\n\nMore formally, it is possible to test the null hypothesis that the\ncorrelation is zero and calculate a p-value. If the p-value is low, it\nsuggests the correlation co-efficient is not zero, and there is a linear\n(or more complex) relationship between the two variables.": [
                "Partielle korrelationer er en måde at undersøge lineære relationer mellem\nto eller flere kontinuerlige variabler, mens en kontrollerer for andre\nvariabler.\n\nFor hvert par af variabler angiver en Pearsons r-koeffisient styrken og\nretningen for forholdet mellem disse to variabler. En positiv værdi\nindikerer en positiv relation (hvor højere værdier af en variabel forudser\nhøje værdier for den anden variabel). Et negativt Pearsons r-koeffisient\nangiver en negativ relation (hvor højere værdier af en variabel forudser\nlave værdier for den anden variabel og omvendt). Værdien nul angiver ingen\nrelation (om en variabel er høj eller lav, fortæller os ikke noget om værdien\naf den anden variabel).\n\nDet er muligt at teste nulhypotesen om at korrelationen er nul og beregner\nen p-værdi. Hvis p-værdien er lav, antyder det at sammenslutningseffektiv korrelation ikke\n er nul, og at det er en lineær (eller mere kompleks) relation mellem de\nto variabler."
            ],
            "Partial η²": [
                "Partiel η²"
            ],
            "partial η²": [
                "partiel η²"
            ],
            "Participants (rows) below p-threshold": [
                ""
            ],
            "Path Diagram": [
                "Stidiagram"
            ],
            "Path diagram": [
                "Stidiagram"
            ],
            "Pearson": [
                "Pearson"
            ],
            "Pearson correlation cannot be calculated for non-numeric values": [
                "Pearson-korrelation kan ikke beregnes for ikke-numeriske værdier"
            ],
            "Pearson residuals": [
                ""
            ],
            "Pearson's r": [
                "Pearsons r"
            ],
            "Pearson{}Correlation": [
                "Pearson{}Korrelation"
            ],
            "Percentages": [
                "Procentandele"
            ],
            "Percentages of total": [
                "Procentandele af totalt"
            ],
            "Percentages within {var}": [
                "Procentandele inden for {var}"
            ],
            "Percentile": [
                "Persentil"
            ],
            "Percentile Values": [
                "Persentilværdier"
            ],
            "Percentile values": [
                "Persentilværdier"
            ],
            "Percentiles": [
                "Persentiler"
            ],
            "perform a Mann-Whitney U test.": [
                "gennemfør Mann-Whitney U-test."
            ],
            "perform a Shapiro-Wilk test of normality. A low p-value suggests the data is not from a normal distribution.": [
                "gennemfør Shapiro-Wilk-test på normalfordeling. En lav p-værdi antyder, at dataene ikke kommer fra en normalfordeling."
            ],
            "perform an overall model test.": [
                "gennemfør en test for hele modellen."
            ],
            "perform Fisher's (or what might be call 'normal') ANOVAs.": [
                "gennemfør Fishers (eller hvad kan kaldes »almindelige«) ANOVAER."
            ],
            "perform Shapiro-Wilk tests of normality. A low p-value suggests the data is not from a normal distribution.": [
                "gennemfør Shapiro-Wilk-tester på normalfordeling. En lav p-værdi antyder, at dataene ikke kommer fra en normalfordeling."
            ],
            "perform Shapiro-Wilk tests of normality. A low p-value suggests the residuals are not normally distributed.": [
                "gennemfør Shapiro-Wilk-tester på normalfordeling. En lav p-værdi antyder, at residuene ikke kommer fra en normalfordeling."
            ],
            "perform Student's independent samples t-tests.": [
                "gennemfør Students uafhængige t-tester."
            ],
            "perform Student's one-sample t-tests.": [
                "gennemfør Students t-test for et udvalg."
            ],
            "perform Student's paired samples t-tests.": [
                "gennemfør Students parrede t-tester."
            ],
            "perform Welch's ANOVAs.": [
                "gennemfør ANOVAER efter Welch."
            ],
            "perform Welch's tests.": [
                "gennemfør Welchs tester."
            ],
            "perform Wilcoxon signed rank tests.": [
                "gennemfør Wilcoxon-test af fortegnfordeling."
            ],
            "Phi and Cramer's V": [
                "Phi og Cramers V"
            ],
            "Phi-coefficient": [
                "Phi-koefficient"
            ],
            "Pillai's Trace": [
                "Pillais spor"
            ],
            "Plot": [
                "Diagram"
            ],
            "plot densities along the diagonal of the correlation matrix plot.": [
                "giv ud tæthedsdiagrammer langs hoveddiagonalen i korrelationsdiagrammet."
            ],
            "plot the data along with the marginal means.": [
                "vis rådataene sammen med de estimerede gennemsnitterne."
            ],
            "Plot Type": [
                "Diagram-type"
            ],
            "Plots": [
                "Figurer"
            ],
            "Plots are not yet supported for weighted descriptives.": [
                ""
            ],
            "Polynomial": [
                "Polynomial"
            ],
            "Post Hoc Comparisons - {term}": [
                "Post-hoc-sammenlikninger - {term}"
            ],
            "Post Hoc Test": [
                ""
            ],
            "Post Hoc Test ({title})": [
                ""
            ],
            "Post Hoc Tests": [
                "Post-hoc-tester"
            ],
            "Post Hoc Tests – $key": [
                "Post-hoc-tester – $key"
            ],
            "Post-Hoc Model Performance": [
                "Kvaliteten på post-hoc-modellen"
            ],
            "Post-Hoc Test": [
                "Post-hoc-test"
            ],
            "Post-Hoc Tests": [
                "Post-hoc-tester"
            ],
            "Posterior": [
                "Posterior"
            ],
            "Posterior plot": [
                "Posterior-diagram"
            ],
            "Posterior Plots": [
                "Posterior-diagrammer"
            ],
            "Predicted": [
                "Forventa"
            ],
            "Predicted probability of … = … (vs … = …)": [
                "Forventede sandsynlighed for … = … (imod … = …)"
            ],
            "Predicted probability of {dep} = {level1} (vs {dep} = {level2})": [
                "Forventede sandsynlighed for {dep} = {level1} (imod {dep} = {level2})"
            ],
            "Predicted values": [
                "Forventede værdier"
            ],
            "Prediction": [
                "Prediktion"
            ],
            "Predictive Measures": [
                "Prediktive mål"
            ],
            "Predictor": [
                "Prediktor"
            ],
            "Predictors": [
                "Prediktorer"
            ],
            "Principal axis": [
                "Hovedakse"
            ],
            "Principal axis factoring": [
                "Hovedaksefaktorering"
            ],
            "Principal Component Analysis": [
                "Hovedkomponentanalyse"
            ],
            "Prior": [
                "Antagelse (prior)"
            ],
            "Prior width": [
                "Bredde på antagelse (prior)"
            ],
            "Probability": [
                "Sandsynlighed"
            ],
            "Promax": [
                "Promax"
            ],
            "promax": [
                "Promax"
            ],
            "Proportion": [
                "Proportion"
            ],
            "Proportion Test (2 Outcomes)": [
                "Proportionstest (2 resultater)"
            ],
            "Proportion Test (N Outcomes)": [
                "Proportionstest (N resultater)"
            ],
            "provide a Cohen's d measure of effect size for the post-hoc tests.": [
                "giv ud effektstørrelserne (Cohens d) for post-hoc tester."
            ],
            "provide a confidence interval for the difference between the mean estimate and the test value.": [
                "giv ud konfidensintervaller for forskellen mellem de gennemsnitsestimater og testværdien."
            ],
            "provide a correlation matrix plot.": [
                "giv ud korrelationsdiagram."
            ],
            "provide a Kendall's tau-b for each combination of variables.": [
                "giv ud Kendalls tau-b for hver kombination af variabler."
            ],
            "provide a p-value for each correlation co-efficient.": [
                "giv ud p-værdi for hver korrelationskoefficient."
            ],
            "provide a Pearson's r for each combination of variables.": [
                "giv ud Pearsons r for hver kombination af variabler."
            ],
            "provide a Q-Q plot of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution.": [
                "give ud Q-Q-diagram for residuene – diagram viser de faktiske residuene mod hvad kunne forventes hvis dataene var *perfekt* normalfordelte. Store afvigelser fra den diagonale linjen tyder på at dataene ikke kommer fra en normalfordeling."
            ],
            "provide a Spearman's rho for each combination of variables.": [
                "giv ud Spearmans rho for hver kombination af variabler."
            ],
            "provide a table of descriptives for each variable.": [
                "giv ud en tabel med deskriptivstatistikk for hver variable."
            ],
            "provide a table of the estimated marginal means.": [
                "giv ud tabel med de estimerede gennemsnitterne."
            ],
            "provide Bayes factors for the Student's independent samples t-tests.": [
                "giv ud Bayes-faktorer for Students uafhængige t-tester."
            ],
            "provide Bayes factors for the Student's one-sample t-tests.": [
                "giv ud Bayes-faktorer for Students t-tester med et udvalg."
            ],
            "provide Bayes factors for the Student's paired samples t-tests.": [
                "giv ud Bayes-faktorer for Students parrede t-tester."
            ],
            "provide confidence intervals for Pearson's r.": [
                "giv ud konfidensintervaller for Pearsons r."
            ],
            "provide confidence intervals for the effect-sizes": [
                "giv ud konfidensintervaller for effektstørrelserne"
            ],
            "provide confidence intervals for the mean differences.": [
                "giv ud konfidensintervaller for de gennemsnitlige differencer."
            ],
            "provide confidence intervals for the post-hoc effect sizes.": [
                "giv ud konfidensintervaller for post-hoc-effektstørrelsene."
            ],
            "provide correlation co-efficients in the correlation matrix plot.": [
                "vis korrelationskoefficienter i korrelationsdiagrammet."
            ],
            "provide descriptive plots for each group.": [
                "giv ud deskriptivstatistiske diagrammer for hver gruppe."
            ],
            "provide descriptive plots for each variable.": [
                "giv ud deskriptivstatistiske diagrammer for hver variable."
            ],
            "provide descriptives for each group of measurements.": [
                "giv ud deskriptivstatistikk for hver gruppe af målinger."
            ],
            "provide descriptives for each group.": [
                "giv ud deskriptivstatistikk for hver gruppe."
            ],
            "provide descriptives plots.": [
                "giv ud deskriptivstatistiske diagrammer."
            ],
            "provide effect-sizes (Cohen's D).": [
                "giv ud effektstørrelser (Cohens d)."
            ],
            "provide effect-sizes (Cohen's d).": [
                "giv ud effektstørrelser (Cohens d)."
            ],
            "provide Levene's test for homogeneity of variances. A low p-value suggests the groups have unequal variances.": [
                "gennemfør Levenes test for varianshomogenitet. En lav p-værdi antyder, at grupperne har forskellig varians."
            ],
            "provide Levene's tests for the homogeneity of variances. A low p-value suggests the groups have unequal variances.": [
                "gennemfør Levenes test for varianshomogenitet. En lav p-værdi antyder, at grupperne har forskellig varians."
            ],
            "provide mean differences and standard errors of the mean differences.": [
                "giv ud de gennemsnitlige differencer og standardfejlen af disse."
            ],
            "provide mean differences with the post-hoc tests.": [
                "giv ud de gennemsnitlige differencer med post-hoc-testene."
            ],
            "provide mean differences, and standard errors of the mean differences, between the mean estimate, and the test value.": [
                "giv ud de gennemsnitlige differencer mellem gennemsnitsestimatet og testværdien og endvidere standardfejlen for denne difference."
            ],
            "provide measures of effect size; η², partial η², or ω².": [
                "giv ud effektstørrelse; enten η², partiel η² eller ω²."
            ],
            "provide p-value corrections for sphericity.": [
                "giv ud korrektion af sfæricitet for p-værdiene."
            ],
            "provide plots of the estimated marginal means.": [
                "giv ud diagrammer af de estimerede gennemsnitterne."
            ],
            "provide post-hoc tests.": [
                "giv ud post-hoc-tester."
            ],
            "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution.": [
                "give ud Q-Q-diagrammer for residuene – diagrammet viser de faktiske residuene mod hvad kunne forventes hvis dataene havde været *perfekt* normalfordelte. Store afvigelser fra den diagonale linjen tyder på at dataene ikke kommer fra en normalfordeling."
            ],
            "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the residuals are not normally distributed.": [
                "give ud Q-Q-diagrammer for residuene – diagrammet viser de faktiske residuene mod hvad kan forventes hvis dataene havde været *perfekt* normalfordelte. Store afvigelser fra den diagonale linjen tyder på at dataene ikke kommer fra en normalfordeling."
            ],
            "provide significance levels for the post-hoc tests.": [
                "giv ud signifikansniveauer for de post-hoc-testene."
            ],
            "provide sphericity tests.": [
                "giv ud test af sfæricitet."
            ],
            "provide test results (t-value and degrees of freedom) for post-hoc tests.": [
                "giv ud testresultater (t-værdi og frihedsgrader) for de post-hoc-testene."
            ],
            "provide the number of cases.": [
                "giv ud antal af målinger."
            ],
            "Pseudo R²": [
                "Pseudo-R²"
            ],
            "Q-Q": [
                "Q-Q"
            ],
            "Q-Q Plot": [
                "Q-Q-diagram"
            ],
            "Q-Q plot": [
                "Q-Q-diagram"
            ],
            "Q-Q Plot Assessing Multivariate Normality": [
                "Q-Q-diagram for at vurdere multivariat normalfordeling"
            ],
            "Q-Q plot of multivariate normality": [
                "Q-Q-diagram for at vurdere multivariat normalfordeling"
            ],
            "Q-Q plot of residuals": [
                "Q-Q-diagram af residuene"
            ],
            "Q-Q Plots": [
                "Q-Q-diagrammer"
            ],
            "Q-Q plots": [
                "Q-Q-diagrammer"
            ],
            "quadratic": [
                "kvadratisk"
            ],
            "quartic": [
                "kvartisk"
            ],
            "Quartimax": [
                "Quartimax"
            ],
            "quartimax": [
                "Quartimax"
            ],
            "quintic": [
                "kvintisk"
            ],
            "R": [
                "R"
            ],
            "R²": [
                "R²"
            ],
            "R²<sub>CS</sub>": [
                "R²<sub>CS</sub>"
            ],
            "R²<sub>McF</sub>": [
                "R²<sub>McF</sub>"
            ],
            "R²<sub>N</sub>": [
                "R²<sub>N</sub>"
            ],
            "R²<sub>T</sub>": [
                "R²<sub>T</sub>"
            ],
            "Range": [
                "Variationsbredde"
            ],
            "Rank biserial correlation": [
                "Biserial rangskorrelation"
            ],
            "Rate Ratio": [
                "Andelsforhold"
            ],
            "Rate ratio": [
                "Andelsforhold"
            ],
            "Ratio": [
                "Forhold"
            ],
            "Reference Level": [
                "Referenceniveau"
            ],
            "Reference level (dummy coding)": [
                "Referenceniveau (dummy-koding)"
            ],
            "Reference Levels": [
                "Referenceniveauer"
            ],
            "Regression": [
                "Regression"
            ],
            "Relative risk": [
                "Relativ risiko"
            ],
            "Reliability Analysis": [
                "Reliabilitetanalyse"
            ],
            "Repeated": [
                "Gentagent"
            ],
            "Repeated Measures ANOVA": [
                "ANOVA for gentagne målinger"
            ],
            "Repeated Measures ANOVA (Non-parametric)": [
                "ANOVA for gentagne målinger (ikke-parametrisk)"
            ],
            "Repeated Measures Cells": [
                "Celler ved gentagne målinger"
            ],
            "Repeated Measures Components": [
                "Komponenter for gentagne målinger"
            ],
            "Repeated Measures Factors": [
                "Faktorer for gentagne målinger"
            ],
            "Report significance": [
                "Signifikansniveau"
            ],
            "Represents grand mean": [
                "Repræsenterer totalgennemsnit"
            ],
            "Represents reference level": [
                "Repræsenterer referenceniveau"
            ],
            "Residual": [
                "Residuer"
            ],
            "Residual Covariances": [
                "Kovarians af residuene"
            ],
            "Residual covariances": [
                "Kovarianser af residuene"
            ],
            "Residual Covariances – Modification Indices": [
                "Kovarians af residuene – Modifikationsindekser"
            ],
            "Residual Estimates": [
                "Estimater for residuene"
            ],
            "Residual Intercepts": [
                "Skæringspunkter for residuene"
            ],
            "Residual intercepts": [
                "Skæringspunkter for residuene"
            ],
            "Residual plots": [
                "Diagrammer af residuene"
            ],
            "Residual sum of squares and/or degrees of freedom are zero, indicating a perfect fit": [
                "Kvadratsummen på residuene og/eller frihedsgrader er nul, der indikerer perfekt modelltilpasning"
            ],
            "Residuals": [
                "Residuer"
            ],
            "Residuals for Observed Correlation Matrix": [
                "Residuene for observeret korrelationsmatrix"
            ],
            "Residuals from ANOVA": [
                "Residuene for ANOVA"
            ],
            "Residuals observed correlation matrix": [
                "Residuene for observeret korrelationsmatrix"
            ],
            "Residuals Plots": [
                "Diagrammer af residuene"
            ],
            "Results": [
                "Resultater"
            ],
            "reverse scaled item": [
                "inverteret item"
            ],
            "Reverse Scaled Items": [
                "Inverterede items"
            ],
            "RM Factor 1": [
                "Faktor 1 for gentagne målinger"
            ],
            "RMSE": [
                "RMSE"
            ],
            "RMSEA": [
                "RMSEA"
            ],
            "RMSEA 90% CI": [
                "RMSEA 90 % KI"
            ],
            "ROC": [
                "ROC"
            ],
            "ROC Curve": [
                "ROC-kurve"
            ],
            "ROC curve": [
                "ROC-kurve"
            ],
            "Rotation": [
                "Rotation"
            ],
            "Row": [
                "Rad"
            ],
            "Row number": [
                "Radnummer"
            ],
            "Row variable '{var}' contains fewer than 2 levels": [
                "Radvariabelen »{var}« omfatter færre end 2 niveauer"
            ],
            "Rows": [
                "Rade"
            ],
            "rows": [
                "Rade"
            ],
            "Rows compared": [
                "Sammenlignede rækker"
            ],
            "Roy's Largest Root": [
                "Roys største rod"
            ],
            "Sample Size": [
                "Størrelse på udvalg"
            ],
            "Save": [
                "Lagre"
            ],
            "scale": [
                "Skala"
            ],
            "Scale Analysis": [
                "Skalaanalyse"
            ],
            "Scale factor = scale first indicator": [
                "Skalerungsfaktor = først skalerungsindikator"
            ],
            "Scale Reliability Statistics": [
                "Statistik på skalareliabilitet"
            ],
            "Scale Statistics": [
                "Skalastatistik"
            ],
            "Scheffe": [
                "Scheffé"
            ],
            "Score Component": [
                "Score-komponent"
            ],
            "Score Factor": [
                "Score-faktor"
            ],
            "Score for component": [
                "Score for komponent"
            ],
            "Score for factor {i}. Estimated using the '{fsMethod}' method.": [
                "Score for faktor {i}. Estimeret ved at bruge »{fsMethod}«-metoden."
            ],
            "Scree Plot": [
                "Scree-diagram"
            ],
            "Scree plot": [
                "Scree-diagram"
            ],
            "SD": [
                "Std.-afvigelse"
            ],
            "SE": [
                "Std.-fejl"
            ],
            "SE difference": [
                "Standardfejl for difference"
            ],
            "Semipartial": [
                "Semipartiel"
            ],
            "Semipartial Correlation": [
                "Semipartiel korrelation"
            ],
            "Sensitivity": [
                "Sensitivitet"
            ],
            "septic": [
                "septisk"
            ],
            "sextic": [
                "sextisk"
            ],
            "Shapiro-Wilk": [
                "Shapiro-Wilk"
            ],
            "Shapiro-Wilk Multivariate Normality Test": [
                "Shapiro-Wilk-test på multivariat normalfordeling"
            ],
            "Shapiro-Wilk p": [
                "Shapiro-Wilk p"
            ],
            "Shapiro-Wilk test": [
                "Shapiro-Wilk-test"
            ],
            "Shapiro-Wilk test for multivariate normality": [
                "Shapiro-Wilk-test på multivariat normalfordeling"
            ],
            "Shapiro-Wilk W": [
                "Shapiro-Wilk W"
            ],
            "Side by side": [
                "Side-om-side"
            ],
            "Simple": [
                "Enkel"
            ],
            "Simplimax": [
                "Simplimax"
            ],
            "simplimax": [
                "Simplimax"
            ],
            "Simulations": [
                "Simulationer"
            ],
            "Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables.": [
                "Det opstod singularitet: En eller flere prediktorvariabler er en lineær kombination af andre prediktorvariabler."
            ],
            "Singularity error. Sphericity corrections are not available": [
                ""
            ],
            "Singularity error. Sphericity tests are not available": [
                "Fejl pga. singularitet. Test af sfæricitet er ikke tilgængelig"
            ],
            "Skewness": [
                "Skjevhet"
            ],
            "Sort loadings by size": [
                "Sorter faktorladinger efter størrelse"
            ],
            "Spearman": [
                "Spearman"
            ],
            "Spearman's rho": [
                "Spearmans rho"
            ],
            "Specificity": [
                "Specificitet"
            ],
            "Sphericity Correction": [
                "Korrektion for sfæricitet"
            ],
            "Sphericity corrections": [
                "Korrektion for sfæricitet"
            ],
            "Sphericity tests": [
                "Test af sfæricitet"
            ],
            "Split by": [
                "Del efter"
            ],
            "Squared Mahalanobis Distance": [
                "Kvadrert Mahalanobis-distance"
            ],
            "SRMR": [
                "SRMR"
            ],
            "SS Loadings": [
                "Kvadratsumme for ladinger"
            ],
            "Stacked": [
                "Stablede"
            ],
            "Stand. Estimate": [
                "Std. Estimat"
            ],
            "Standard deviation": [
                "Standardafvigelse"
            ],
            "Standard Error": [
                "Standardfejl"
            ],
            "Standard error": [
                "Standardfejl"
            ],
            "Standardized Estimate": [
                "Standardiseret estimat"
            ],
            "Standardized estimate": [
                "Standardiseret estimat"
            ],
            "Standardized Residuals": [
                "Standardiserede residuer"
            ],
            "Standardized residuals": [
                ""
            ],
            "Standardized residuals (adjusted Pearson)": [
                ""
            ],
            "Statistic": [
                "Statistik"
            ],
            "statistic": [
                "Statistik"
            ],
            "Statistics": [
                "Statistik"
            ],
            "Std. deviation": [
                "Std.-afvigelse"
            ],
            "Std. error kurtosis": [
                "Std.-fejl af kurtosis"
            ],
            "Std. error mean": [
                "Std.-fejl af gennemsnit"
            ],
            "Std. error of Mean": [
                "Std.-fejl af gennemsnit"
            ],
            "Std. error skewness": [
                "Std.-fejl for skjevhet"
            ],
            "Student's": [
                "Students"
            ],
            "Student's t": [
                "Students t"
            ],
            "Student's test": [
                "Students test"
            ],
            "Sum": [
                "Sum"
            ],
            "Sum of Squares": [
                "Kvadratsum"
            ],
            "Sum of squares": [
                "Kvadratsum"
            ],
            "Sum score": [
                "Totalscore"
            ],
            "Summary": [
                "Sammendrag"
            ],
            "t": [
                "t"
            ],
            "T-Tests": [
                "t-tester"
            ],
            "t-value": [
                "t-værdi"
            ],
            "ten Berge": [
                "ten Berge"
            ],
            "Term {0}": [
                "Term {0}"
            ],
            "Term 1": [
                "Term 1"
            ],
            "Test for Exact Fit": [
                "Test for eksakt tilpasning"
            ],
            "Test results (t and df)": [
                "Testresultater (t og df)"
            ],
            "Test statistics": [
                "Teststatistik"
            ],
            "Test Value": [
                "Testværdi"
            ],
            "Test value": [
                "Testværdi"
            ],
            "Tests": [
                "Tester"
            ],
            "Tests of Sphericity": [
                "Test af sfæricitet"
            ],
            "th percentile": [
                ". persentil"
            ],
            "The 'iris' data set from R": [
                "»Iris«-datasættet fra R"
            ],
            "The 'split by' variable '{var}' contains no data.": [
                "»Delt efter«-variablen »{var}« indeholder ingen data."
            ],
            "the alternative and null hypotheses;\n\n|              | Alternative (Hₐ)  | Null (H₀)          |\n|--------------|-------------------|--------------------|\n| ≠ Test value | Mean ≠ Test value | Mean = Test value  |\n| > Test value | Mean > Test value | Mean <= Test value |\n| < Test value | Mean < Test value | Mean >= Test value |": [
                "Alternativ- og nullhypothesen;\n\n|             | Alternativhypotese (Hₐ)  | Nulhypotese (H₀)         |\n|-------------|--------------------------|---------------------------|\n| ≠ Testværdi | Gjennomsnitt ≠ Testværdi | Gjennomsnitt = Testværdi  |\n| > Testværdi | Gjennomsnitt > Testværdi | Gjennomsnitt <= Testværdi |\n| < Testværdi | Gjennomsnitt < Testværdi | Gjennomsnitt >= Testværdi |"
            ],
            "the alternative hypothesis.": [
                "alternativhypotesen."
            ],
            "the alternative hypothesis. Allows for one-tailed tests.": [
                "alternativhypotesen. Tillader ensidige tester."
            ],
            "The Analysis of Covariance (ANCOVA) is used to explore the relationship\nbetween a continuous dependent variable, one or more categorical\nexplanatory variables, and one or more continuous explanatory variables\n(or covariates). It is essentially the same analysis as ANOVA, but\nwith the addition of covariates.": [
                "Kovariansanalyse (ANCOVA) bruges til at udforske sammenhængene\nmellem en kontinuerligt afhængig variabel, en eller flere kategoriske\nuafhængige variabler og en eller flere kontinuerlige uafhængige variabler\n(også kaldt kovariater). Det er egentlig den samme analyse som ANOVA, men\nden tillader kovariater endvidere."
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables.": [
                "Variansanalysen (ANOVA) bruges til at udforske sammenhængene\nmellem en kontinuerligt afhængig variabel og en eller flere kategoriske\nuafhængige variabler."
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables.\n\nANOVA assumes that the residuals are normally distributed, and that the\nvariances of all groups are equal. If one is unwilling to assume that\nthe variances are equal, then a Welch's test can be used instead\n(However, the Welch's test does not support more than one explanatory\nfactor). Alternatively, if one is unwilling to assume that the data is\nnormally distributed, a non-parametric approach (such as Kruskal-Wallis)\ncan be used.": [
                "Variansanalysen (ANOVA) bruges til at undersøge relationen mellem\nen kontinuerligt afhængig variabel og en eller flere kategoriske\nuafhængige variabler.\n\nANOVA antager, at residuene er normalfordelt, og at varianser for alle\ngrupper er lige så. Hvis man kan ikke antage, at varianserne er lige så, kan en\nWelch-test bruges i stedet (Welch-test støtter imidlertid ikke mere end\nen faktor som uafhængigt variable). Hvis man desuden ikke kan antage,\nat dataene er normalfordelte, kan en ikke-parametrisk tilnærmelse (fx.\nKruskal-Wallis-test) bruges."
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables. This 'One-Way ANOVA' is a simplified version of\nthe 'normal' ANOVA, allowing only a single explanatory factor, however\nalso providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\nit need not assume that the variances of all groups are equal.": [
                "Variansanalysen (ANOVA) bruges til at undersøge relationen mellem en\nkontinuerligt afhængig variabel og en eller flere kategoriske uafhængige\nvariabler. Denne »ANOVA med en faktor« er en forenklet version af den\n»almindelige« ANOVA, som kun tillader en faktor som uafhængigt variable. Endvidere\n eksisterer også en ANOVA efter Welch. Welchs ANOVA har fordelen,\nat den ikke behøver at antage, at varianserne for alle grupper er lige så."
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables. This 'One-Way ANOVA' is a simplified version of\nthe 'normal' ANOVA, allowing only a single explanatory factor, however\nalso providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\nit need not assume that the variances of all groups are equal.\n\nFor convenience, this method allows specifying multiple dependent\nvariables, resulting in multiple independent tests.\n\nNote that the Welch's ANOVA is the same procedure as the Welch's\nindependent samples t-test.": [
                "Variansanalysen (ANOVA) bruges til at undersøge relationen mellem en\nkontinuerligt afhængig variabel og en eller flere kategoriske uafhængige\nvariabler. Denne »ANOVA med en faktor« er en foreklet version af den\n»almindelige« ANOVA, sådan at tillader kun en faktor som uafhængig variabel.\nEndvidere eksisterer også en ANOVA efter Welch. Welchs ANOVA har som\nfordel, at det ikke behøver at antages, at varianserne for alle grupper er lige så.\n\nFor at gøre ting enklere tillader denne ANOVA med en faktor at specificere\nflere afhængige variabler. Det resulterer i flere uafhængige tester.\n\nVær opmærksom på at den samme procedure som underligger uafhængigt\nt-test efter Welch også står bag Welchs ANOVA."
            ],
            "the between subjects factors (optional).": [
                "mellemsubjekt-faktorerne (valgfrit)."
            ],
            "the between subjects terms of the model.": [
                "mellemsubjekt-termerne for modellen."
            ],
            "The Binomial test is used to test the Null hypothesis that the proportion of observations match some expected value. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportion must be some other value.": [
                "Binomialtesten bruges til at teste nulhypotesen, at andelen af observationer tilsvarer med en bestemt forventet værdi. Hvis p-værdien er lav, tyder dette på at nulhypotesen er usand, og at den observerede andel afviger fra den forventede andel."
            ],
            "the categorical explanatory (or independent) variables.": [
                "de kategoriske prediktor- (eller uafhængige) variablerne."
            ],
            "The CI of the mean assumes sample means follow a t-distribution with N - 1 degrees of freedom": [
                "Konfidensintervall af gennemsnittet antager, at gennemsnit i stikprøve følger en t-fordeling med N - 1 frihedsgrader"
            ],
            "the confidence interval width for the effect-sizes.": [
                "bredden på konfidensintervall for effektstørrelserne."
            ],
            "the confidence interval width for the post-hoc effect sizes.": [
                "bredden på konfidensintervall for post-hoc-effektstørrelsene."
            ],
            "the confidence interval width.": [
                "bredden på konfidensintervall."
            ],
            "the continuous explanatory (or independent) variables, also known as covariates.": [
                "de kontinuerlige prediktor- (eller uafhængige) variablerne, også kaldte kovariater."
            ],
            "the contrasts to use.": [
                "kontrasterne, der skal bruges."
            ],
            "the control variables of interest.": [
                "de interesserende kontrolvariablerne."
            ],
            "the covariates (specifying these makes this an ANCOVA)": [
                "kovariatene (hvis du specificerer disse, bliver analysen en ANCOVA)"
            ],
            "The cut-off value is set to {}": [
                "Cut-off-værdien er sat til {}"
            ],
            "The dataset contains 0 rows (after removing rows with missing values)": [
                "Datasættet indeholder 0 rækker (efter at have fjernet rækker med manglende værdier)"
            ],
            "The dataset contains 0 rows (or all rows contain missing values)": [
                "Datasættet indeholder 0 rækker (eller alle rade indeholder manglende værdier)"
            ],
            "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels.": [
                "Den afhængige variabel »{}« har mere end to niveauer; binomial logistisk regression kan kun gennemføres med afhængige variabler med to niveauer."
            ],
            "The dependent variable '{dep}' has the following order: {orderedLevels}": [
                "Den afhængige variabel »{dep}« har følgende rækkefølge: {orderedLevels}"
            ],
            "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression.": [
                "Den afhængige variabel »{dep}« har kun to niveauer, vurder at gennemføre en binomial logistisk regression."
            ],
            "the dependent variable. For ANCOVA, these will be continuous.": [
                "den afhængige variabel. For en ANCOVA skal denne være kontinuerligt."
            ],
            "the dependent variable. For ANOVA, these will be continuous.": [
                "den afhængige variabel. For en ANOVA skal denne være kontinuerligt."
            ],
            "the dependent variables -- a separate t-test is performed for each dependent variable specified.": [
                "de afhængige variabler – for hver afhængig variabel, der er angivet gennemføres en separat t-test."
            ],
            "the dependent variables. For ANOVA, these will be continuous.": [
                "de afhængige variabler. For en ANOVA skal disse være kontinuerlige."
            ],
            "the error bars to plot on the marginal means.": [
                "usikkerhedsstolperne, der vises med de estimerede gennemsnitterne."
            ],
            "the explanatory or independent variable. For ANOVA this will be categorical.": [
                "den prediktor- eller uafhængige variablen. For en ANOVA skal denne være kategorisk."
            ],
            "the explanatory or independent variables. For ANOVA these will be categorical.": [
                "de prediktor- eller uafhængige variablerne. For en ANOVA skal disse være kategoriske."
            ],
            "The Friedman test is used to explore the relationship between a continuous dependent variable and a categorical explanatory variable, where the explanatory variable is 'within subjects' (where multiple measurements are from the same subject). It is analagous to Repeated Measures ANOVA, but with the advantage of being non-parametric, and not requiring the assumptions of normality or homogeneity of variances. However, it has the limitation that it can only test a single explanatory variable at a time.": [
                "Friedman-testen bruges til at undersøge forholdet mellem en kontinuerligt afhængig variabel og en kategorisk uafhængig variabel, der den uafhængige variabel er inden for deltagere (dvs. flere målinger er tagne fra samme deltager). Det er analog for til ANOVA for gentagne målinger, men det er ikke-parametrisk, og derfor ikke kræver, at dataene er normalfordelte eller varianser skal være homogent. Samtidig har testen, begrænsningen at den kun kan teste en enkelt faktor som uafhængig variabel om gangen."
            ],
            "The Kruskal-Wallis test is used to explore the relationship between a continuous dependent variable, and a categorical explanatory variable. It is analagous to ANOVA, but with the advantage of being non-parametric and having fewer assumptions. However, it has the limitation that it can only test a single explanatory variable at a time.": [
                "Kruskal-Wallis-testen bruges til at undersøge sammenhængen mellem en kontinuerligt afhængig variabel og en kategorisk uafhængig variabel. Det er analogt med ANOVA, men det er ikke-parametrisk og derfor have færre forudsætninger. Samtidig har testen, begrænsningen at den kun kan teste en faktor som uafhængig variabel om gangen."
            ],
            "the label to use for the dependent variable.": [
                "betegnelsen, der skal bruges for den afhængige variabel."
            ],
            "the lavaan syntax used to fit the model": [
                "lavaan-syntaksen som blev brugt for at tilpasse modellen"
            ],
            "the missing value exclusion method. `Analysis by analysis` excludes missing values from each analysis. `Listwise` excludes a row from all analyses if one of its values is missing.": [
                "metoden for at ekskludere manglende værdier. `Analysis by analysis` ekskluderer manglende værdier per analyse. `Listwise` ekskluderer hele raden fra alle analyser, hvis en af værdierne har ikke."
            ],
            "the missing value exclusion method. `Analysis by analysis` excludes missing values from each variable. `Listwise` excludes a row from all analyses if one of its values is missing.": [
                "metoden for at ekskludere manglende værdier. `Analysis by analysis` ekskluderer manglende værdier per analyse. `Listwise` ekskluderer hele raden fra alle analyser, hvis en af værdierne har ikke."
            ],
            "the model terms which make up the model.": [
                "de modeltermer, der indgår i modellen."
            ],
            "the model terms which make up the model. By default a full factorial model is created, but here the exact terms making up the model can be adjusted.": [
                "de modeltermer, der indgår i modellen. Som standard sættes op en model med alle faktorer men de modeltermer kan blive tilpassede."
            ],
            "the pairs of measurements -- a separate t-test is performed for each pair of measurements.": [
                "måleparrene – en separat t-test gjenneomføres for hvert par målinger."
            ],
            "the post-hoc multiple comparisons corrections to use.": [
                "korrektionerne, der skal bruges for de multiple sammenligninger i post-hoc-testene."
            ],
            "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.01 and 2.0, default 0.707.": [
                "bredden på prior for Bayes-faktorer i Students t-test. Kræver en værdi mellem 0.01 og 2.0 (standard: 0.707)."
            ],
            "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.5 and 2.0, default 0.707.": [
                "bredden på prior for de Bayes-faktorer i Students t-testen. Kræver en værdi mellem 0.5 og 2.0 (standard: 0.707)."
            ],
            "The Repeated Measures ANOVA is used to explore the relationship\nbetween a continuous dependent variable and one or more categorical\nexplanatory variables, where one or more of the explanatory variables\nare 'within subjects' (where multiple measurements are from the same\nsubject). Additionally, this analysis allows the inclusion of\ncovariates, allowing for repeated measures ANCOVAs as well.": [
                "ANOVA for gentagne målinger bruges til at undersøge forholdet mellem en\nkontinuerligt afhængig variabel og en eller flere kategoriske uafhængige\nvariabler, der en eller flere af de afhængig variabler er målte »inden for\ndeltagerene« (dvs. det er flere målinger fra samme deltager). Endvidere\ntillader denne analyse inkludering af kovariater, noget som også giver\nmulighed for kovariansanalyser (ANCOVA) for gentagne målinger."
            ],
            "The Repeated Measures ANOVA is used to explore the relationship\nbetween a continuous dependent variable and one or more categorical\nexplanatory variables, where one or more of the explanatory variables\nare 'within subjects' (where multiple measurements are from the same\nsubject). Additionally, this analysis allows the inclusion of\ncovariates, allowing for repeated measures ANCOVAs as well.\n\nThis analysis requires that the data be in 'wide format', where each\nrow represents a subject (as opposed to long format, where each\nmeasurement of the dependent variable is represented as a row).\n\nA non-parametric equivalent of the repeated measures ANOVA also exists;\nthe Friedman test. However, it has the limitation of only being able to\ntest a single factor.": [
                "ANOVA for gentagne målinger bruges til at udforske forholdet\nmellem en kontinuerligt afhængig variabel og en eller flere kategoriske\nuafhængige variabler, der en eller flere af de uafhængige variabler\ner »inden for deltager« (der flere målinger er fra samme\ndeltager / målesubjekt). Endvidere tillader denne analyse inkludering af\nkovariater, noget som også giver mulighed for ANCOVAER for gentagne målinger.\n\nDenne analyse kræver, at dataene er i »bredt format«, hvor hver linje\nrepræsenterer en deltager / målesubjekt (i modsætning til langt format, hvor\nhver måling af den afhængige variabel repræsenteres som en rad).\n\nDer er også en ikke-parametrisk ækvivalent til ANOVAEN for gentagne målinger,\nder hedder Friedman-testen. Den har imidlertid begrænsningen af kun at kunne\nteste en enkelt faktor."
            ],
            "the repeated measures design.": [
                "designet for de gentagne målinger."
            ],
            "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels.": [
                "Det er kun to gentagne målinger. Antagelsen om sfæricitet er altid givet når faktoren for gentagne målinger har kun to niveauer."
            ],
            "the repeated measures measurements.": [
                "de gentagne målinger."
            ],
            "the repeated measures terms of the model.": [
                "de modeltermer for de gentagne målinger."
            ],
            "The specified reference level was not found for the following variable(s): {vars}. Defaulting to the first available level. To use a custom reference level, ensure the defined reference level is available in the data.": [
                ""
            ],
            "The Student's Independent samples t-test (sometimes called a two-samples\nt-test) is used to test the null hypothesis that two groups have the\nsame mean. A low p-value suggests that the null hypothesis is not true,\nand therefore the group means are different.": [
                "Students uafhængigt t-test (nogle gange kaldte uparret t-test) bruges til at teste\nnulhypotesen om at to grupper har samme gennemsnit. En lav p-værdi\nantyder, at nulhypotesen ikke er sand, og at gruppemidlerne derfor er forskellige."
            ],
            "The Student's Independent samples t-test (sometimes called a two-samples\nt-test) is used to test the null hypothesis that two groups have the\nsame mean. A low p-value suggests that the null hypothesis is not true,\nand therefore the group means are different.\n\nThe Student's independent t-test assumes that the data from each group\nare from a normal distribution, and that the variances of these groups\nare equal. If unwilling to assume the groups have equal variances, the\nWelch's t-test can be used in it's place. If one is additionally\nunwilling to assume the data from each group are from a normal\ndistribution, the non-parametric Mann-Whitney U test can be used instead\n(However, note that the Mann-Whitney U test has a slightly different\nnull hypothesis; that the distributions of each group is equal).": [
                "Students uafhængigt t-test (nogle gange kaldte uparret t-test) bruges til at teste\nnulhypotesen om at to grupper har samme gennemsnit. En lav p-værdi\nantyder, at nulhypotesen ikke er sand, og at gruppemidlerne derfor er forskellige.\n\nStudents uafhængigt t-test forudsætter, at dataene fra hver gruppe er normalfordelte,\nog at varianserne for disse grupper er lige så. Hvis du ikke kan antage, at grupperne har\nlige varianser, kan Welchs t-test bruges i stedet for. Hvis en endvidere ikke kan antage, at\ndataene i hver gruppe er normalfordelte, kan den ikke-parametriske Mann-Whitney\nU-testen bruges (men vejr opmærksom på at Mann-Whitney U-testen har en lidt anden\nnulhypotese, nemlig at fordelingerne / rangfølge for hver gruppe er lige)."
            ],
            "The Student's One-sample t-test is used to test the null hypothesis that\nthe true mean is equal to a particular value (typically zero). A low\np-value suggests that the null hypothesis is not true, and therefore\nthe true mean must be different from the test value.": [
                "Students t-test for et udvalg bruges til at teste nulhypotesen,\ngennemsnittet i populationen er lig en bestemt værdi (sædvanligvis nul).\nEn lav p-værdi antyder, at nulhypotesen ikke er sand, og at gennemsnittet\ner forskelligt fra testværdien."
            ],
            "The Student's One-sample t-test is used to test the null hypothesis that\nthe true mean is equal to a particular value (typically zero). A low\np-value suggests that the null hypothesis is not true, and therefore\nthe true mean must be different from the test value.\n\nThe Student's One-sample t-test assumes that the data are from a normal\ndistribution -- in the case that one is unwilling to assume this, the\nnon-parametric Wilcoxon signed-rank can be used in it's place (However,\nnote that the Wilcoxon signed-rank has a slightly different null\nhypothesis; that the *median* is equal to the test value).": [
                "Students t-test for et udvalg bruges til at teste nulhypotesen,\ngennemsnittet i populationen er lig en bestemt værdi (sædvanligvis nul).\nEn lav p-værdi antyder, at nulhypotesen ikke er sand, og at gennemsnittet\ner forskelligt fra testværdien.\n\nStudents t-test for et udvalg forudsætter, at dataene er normalfordelte.\nHvis en ikke kan antage dette, kan ikke-parametrisk Wilcoxon-test af fortegnfordeling\nbruges i stedet for (men vejr opmærksom på at\nWilcoxon-test har en lidt anden nulhypotese, nemlig at *median* er\nlig testværdien)."
            ],
            "The Student's paired samples t-test (sometimes called a\ndependent-samples t-test) is used to test the null hypothesis that the\ndifference between pairs of measurements is equal to zero. A low p-value\nsuggests that the null hypothesis is not true, and that the\ndifference between the measurement pairs is not zero.": [
                "Students parret t-test (nogle gange kaldte en afhængig t-test) bruges til at\nteste nulhypotesen, at forskellen mellem par af gentagne målinger er\nlig nul. En lav p-værdi antyder, at nulhypotesen ikke er sand, og at\nforskellen mellem måleparrene / gentagne målingerne er ikke nul."
            ],
            "The Student's paired samples t-test (sometimes called a\ndependent-samples t-test) is used to test the null hypothesis that the\ndifference between pairs of measurements is equal to zero. A low p-value\nsuggests that the null hypothesis is not true, and that the\ndifference between the measurement pairs is not zero.\n\nThe Student's paired samples t-test assumes that pair differences follow\na normal distribution -- in the case that one is unwilling to assume\nthis, the non-parametric Wilcoxon signed-rank can be used in it's place\n(However, note that the Wilcoxon signed-rank has a slightly different\nnull hypothesis; that the two groups of measurements follow the same\ndistribution).": [
                "Students parrede t-test (nogle gange kaldte en afhængig t-test) bruges til at\nteste nulhypotesen, at forskellen mellem par af gentagne målinger er\nlig nul. En lav p-værdi antyder, at nulhypotesen ikke er sand, og at\nforskellen mellem måleparrene / gentagne målingerne er ikke nul.\n\nStudents parrede t-test forudsætter, at parforskelle er normalfordelte. I tilfælde\nen kan ikke antage dette kan den ikke-parametriske Wilcoxon-test af fortegnfordeling\nbruges (men vejr opmærksom på at Wilcoxon-test har en\nlidt anden nulhypotese, nemlig at de to målingspar har samme rangfølge\n / distribution)."
            ],
            "the terms to provide estimated marginal means for. Here you can specify multiple terms.": [
                "termerne for at beregne de estimerede gennemsnitterne (det kan angives flere termer)."
            ],
            "the test value to test against (typically zero).": [
                "testværdien for at teste mod (sædvanligvis nul)."
            ],
            "the type of correlation to calculate": [
                "hvilken korrelationstype, der skal beregnes"
            ],
            "the type of sums of squares to use; Type 1, 2, or 3.": [
                "type af kvadratsummen, der skal bruges; type 1, 2 eller 3."
            ],
            "the type of sums of squares to use; Type 2, or 3.": [
                "type af kvadratsummen, der skal bruges; type 2 eller 3."
            ],
            "The underlying `aov` object": [
                "Det underliggende `aov`-objektet"
            ],
            "The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable.": [
                "Variablen {var} kan ikke behandles som numerisk. Diagrammer, der behøver numeriske data, kan ikke laves for denne variabel."
            ],
            "the variable specifying the groups; must have 2 levels.": [
                "variablen, der specificerer grupperne; skal have 2 niveauer."
            ],
            "The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables.": [
                "Variablerne {vars} kan ikke behandles som numeriske. Diagrammer, der behøver numeriske data kan ikke laves for disse variabler."
            ],
            "the variables of interest -- a separate t-test is performed for each variable specified.": [
                "variablerne af interesse – en separat t-test gennemføres for hver specificeret variabel."
            ],
            "the variables of interest.": [
                "variablerne af interesse."
            ],
            "the width for the Confidence intervals.": [
                "bredden på konfidensintervallene."
            ],
            "The χ² Goodness of fit test (not to be confused with the χ² test of independence), tests the Null hypothesis that the proportions of observations match some expected proportions. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportions are different to those tested.": [
                "χ²-testen for fordeling (goodness-of-fit; skal ikke forveksles med χ²-testen for uafhængighed), tester nulhypotesen, at proportionerne af observationer tilsvarer med forventede proportionerne. Hvis p-værdien er lav, tyder det på at nulhypotesen er usand, og at de observerede proportioner er forskellige fra de forventede."
            ],
            "The χ² test of association (not to be confused with the χ² goodness of fit) is used to test whether two categorical variables are independent or associated. If the p-value is low, it suggests the variables are not independent, and that there is a relationship between the two variables.": [
                "χ²-testen for uafhængighed (skal ikke forveksles med χ²-testen for fordeling) bruges til at teste om to kategoriske variabler er uafhængige eller associerede. Hvis p-værdien er lav, tyder det på at variablerne ikke er uafhængige, og at det er en sammenhæng mellem de to variabler."
            ],
            "Theoretical Quantiles": [
                "Teoretiske kvantiler"
            ],
            "There were no Mahalanobis distances with a threshold below p < {p}.": [
                ""
            ],
            "This module represents the analyses included with jamovi. It contains many common analyses (such as t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, factor analysis, etc).": [
                "Denne modul indeholder analyserne, der er inkluderede i jamovi. Den omfatter mange analyser, der bruges ofte (fx. t-test, ANOVA, regression, korrelation, frekvensanalyse, faktoranalyse, osv.)."
            ],
            "Threshold": [
                "Tærskel"
            ],
            "Thresholds": [
                "Tærskler"
            ],
            "Thurstone": [
                "Thurstone"
            ],
            "Tjur's R²": [
                "Tjurs R²"
            ],
            "TLI": [
                "TLI"
            ],
            "Tolerance": [
                "Tolerance"
            ],
            "Too few observations (N < 3) to compute statistic": [
                "For få observationer (N < 3) for at beregne statistik"
            ],
            "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables.": [
                "For få observationer for at beregne statistik. Hver (under)gruppe skal have mindst lige så mange observationer som der er afhængige variabler."
            ],
            "Too few samples to compute statistic (N < {n})": [
                "For lille udvalg for at beregne statistik (N < {n})"
            ],
            "Too few samples to compute statistic (N < 3)": [
                "For lille udvalg for at beregne statistik (N < 3)"
            ],
            "Too many observations (N > 5000) to compute statistic": [
                "For mange observationer (N > 5000) til at beregne statistik"
            ],
            "Too many samples to compute statistic (N > {n})": [
                "For stort udvalg for at beregne statistik (N > {n})"
            ],
            "Too many samples to compute statistic (N > 5000)": [
                "For stort udvalg for at beregne statistik (N > 5000)"
            ],
            "Tooth Growth": [
                "Tandvækst"
            ],
            "Total": [
                "Total"
            ],
            "Tukey": [
                "Tukey"
            ],
            "Tukey (equal variances)": [
                "Tukey (lige varianser antaget)"
            ],
            "Tukey Post-Hoc Test – {dep}": [
                "Tukey post-hoc-test – {dep}"
            ],
            "Type {ssType} Sums of Squares": [
                "Type-{ssType}-kvadratsumme"
            ],
            "Type 1": [
                "Type 1"
            ],
            "Type 2": [
                "Type 2"
            ],
            "Type 3": [
                "Type 3"
            ],
            "Type 3 sum of squares": [
                "Type-3-kvadratsumme"
            ],
            "Unable to split by a continuous variable": [
                "Kan ikke dele efter en kontinuerlig variabel"
            ],
            "Uniqueness": [
                "Unikhet"
            ],
            "Univariate Tests": [
                "Univariate tester"
            ],
            "Unstandardized residuals": [
                ""
            ],
            "Upper": [
                "Øvre"
            ],
            "upper bound": [
                "øvre grænse"
            ],
            "Value": [
                "Værdi"
            ],
            "value": [
                "værdi"
            ],
            "values": [
                "Værdier"
            ],
            "Values are counts": [
                "Værdier er antal"
            ],
            "Variable": [
                "Variabel"
            ],
            "Variable '{var}' contains no data": [
                "Variablen »{var}« ikke indeholder data"
            ],
            "Variable contains infinite values": [
                "Variablen indeholder uendelige værdier"
            ],
            "Variable does not contain enough observations": [
                "Variablen indeholder ikke nok observationer"
            ],
            "Variable is not numeric": [
                "Variablen er ikke numerisk"
            ],
            "Variables": [
                "Variabler"
            ],
            "Variables across columns": [
                "Variabler på tværs af kolonner"
            ],
            "Variables across rows": [
                "Variabler på tværs af rækker"
            ],
            "Variables must have at least two levels": [
                "Variabler skal have i mindst to niveauer"
            ],
            "Variance": [
                "Varians"
            ],
            "Variances": [
                "Varianser"
            ],
            "variation from the control variables is only removed from the variables in the columns": [
                "variation fra kontrolvariablerne fjernes kun fra variablerne i kolonnerne"
            ],
            "Varimax": [
                "Varimax"
            ],
            "varimax": [
                "Varimax"
            ],
            "VIF": [
                "VIF"
            ],
            "Violin": [
                "Violin-diagram"
            ],
            "W": [
                "W"
            ],
            "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)": [
                "vej hver celle ligeligt (som standard vejes cellerne i henhold til cellefrekvensen)."
            ],
            "Weight Variable": [
                "Variabel for vægtning"
            ],
            "Weighted by '{varName}'": [
                "Vægtede med »{varName}«"
            ],
            "Weights": [
                "Vægte"
            ],
            "Weights (optional)": [
                "Vægtning (valgfrit)"
            ],
            "Weights contains negative values. Negative weights are not permitted.": [
                "Vægtene indeholder negative værdier. Negative vægte er ikke tilladte."
            ],
            "Welch's": [
                "Welchs"
            ],
            "Welch's t": [
                "Welchs t"
            ],
            "Wilcoxon rank": [
                "Wilcoxon-rang"
            ],
            "Wilcoxon signed rank test": [
                "Wilcoxon-test af fortegnfordeling"
            ],
            "Wilcoxon W": [
                "Wilcoxon W"
            ],
            "Wilks' Lambda": [
                "Wilks' lambda"
            ],
            "within column": [
                "inden for kolonnerne"
            ],
            "within rows": [
                "inden for rækkerne"
            ],
            "Within Subjects Effects": [
                "Effekter inden for deltagerene"
            ],
            "X-Axis": [
                "X-akse"
            ],
            "X-axis": [
                "X-akse"
            ],
            "Y-Axis": [
                "Y-akse"
            ],
            "Y-axis": [
                "Y-akse"
            ],
            "Z": [
                "Z"
            ],
            "z test difference in 2 proportions": [
                "z-test for forskel mellem 2 proportioner"
            ],
            "z test for difference in 2 proportions": [
                "z-test for forskel mellem 2 proportioner"
            ],
            "z test only available for 2x2 tables": [
                "z-testen er kun tilgængeligt for 2x2-tabeller"
            ],
            "ΔR²": [
                "ΔR²"
            ],
            "ε²": [
                "ε²"
            ],
            "η²": [
                "η²"
            ],
            "η²<sub>G</sub>": [
                "η²<sub>G</sub>"
            ],
            "η²<sub>p</sub>": [
                "η²<sub>p</sub>"
            ],
            "η²p": [
                "η²p"
            ],
            "χ²": [
                "χ²"
            ],
            "χ² continuity correction": [
                "χ² med kontinuitetskorrektion"
            ],
            "χ² Goodness of Fit": [
                "χ²-test for fordeling"
            ],
            "χ² Goodness of fit": [
                "χ²-test for fordeling"
            ],
            "χ² test": [
                "χ²-test"
            ],
            "χ² test of association": [
                "χ²-test for uafhængighed"
            ],
            "χ² Tests": [
                "χ²-tester"
            ],
            "ω²": [
                "ω²"
            ],
            "specific factor\u0004Factor": [
                "Faktor"
            ]
        }
    },
    "code": "da"
}