{
    "domain": "messages",
    "locale_data": {
        "messages": {
            "1": [
                "1"
            ],
            "": {
                "domain": "messages",
                "plural_forms": "nplurals=2; plural=n != 1;",
                "lang": "nl"
            },
            "'{col}' contains infinite values": [
                "'{col}' bevat waarden die oneindig zijn"
            ],
            "'{col}' contains missing values": [
                "'{col}' bevat ontbrekende waarden"
            ],
            "'{col}' contains only missing values": [
                "'{col}' bevat uitsluitend ontbrekende waarden"
            ],
            "'{col}' contains only one unique value": [
                "'{col}' bevat slechts één unieke waarde"
            ],
            "'{method}' extraction method was used in combination with a '{rotation}' rotation": [
                "Extractiemethode '{method}' is gebruikt in combinatie met rotatie '{rotation}'"
            ],
            "'{rotation}' rotation was used": [
                "Rotatie '{rotation}' is gebruikt"
            ],
            "'{var}' contains negative values. Negative weights are not permitted.": [
                "'{var}' bevat negatieve waarden. Negatieve gewichten zijn niet toegestaan."
            ],
            "{} - Kendall's Tau B": [
                "{} - Kendalls tau B"
            ],
            "{} - Pearson's r": [
                "{} - Pearsons r"
            ],
            "{} - Spearman's rho": [
                "{} - Spearmans rho"
            ],
            "{ciWidth}% CI Lower": [
                "{ciWidth}% ondergrens betrouwbaarheidsinterval"
            ],
            "{ciWidth}% CI mean {title}": [
                "{ciWidth}% gemiddelde betrouwbaarheidsinterval {title}"
            ],
            "{ciWidth}% CI Upper": [
                "{ciWidth}% bovengrens betrouwbaarheidsinterval"
            ],
            "{ciWidth}% Confidence Interval": [
                "{ciWidth}% betrouwbaarheidsinterval"
            ],
            "{ciWidth}% Confidence Intervals": [
                "{ciWidth}% betrouwbaarheidsintervallen"
            ],
            "{item1} and {item2}": [
                "{item1} en {item2}"
            ],
            "{list}, {nextItem}": [
                "{list}, {nextItem}"
            ],
            "{list}, and {lastItem}": [
                "{list} en {lastItem}"
            ],
            "{n} pair(s) of values were tied": [
                "{n} waardepaar/-paren verbonden"
            ],
            "{type} score based on the variables {vars}": [
                "{type}-score gebaseerd op variabelen {vars}"
            ],
            "{varName} (reversed)": [
                "{varName} (omgekeerd)"
            ],
            "{varType} of binomial logistic regression model{modelNo}": [
                "{varType} van binomiaal logistisch regressiemodel{modelNo}"
            ],
            "{varType} of linear regression model{modelNo}": [
                "{varType} van lineair regressiemodel{modelNo}"
            ],
            "* p < .05, ** p < .01, *** p < .001, one-tailed": [
                "* p < .05, ** p < .01, *** p < .001, eenzijdig"
            ],
            "%": [
                "%"
            ],
            "% Correct": [
                "% juist"
            ],
            "% of Total": [
                "% van totaal"
            ],
            "% of total": [
                "% van totaal"
            ],
            "% of Variance": [
                "% van variantie"
            ],
            "% within column": [
                "% binnen kolom"
            ],
            "% within row": [
                "% binnen rij"
            ],
            "`ANCOVA - ${dep}`": [
                "`ANCOVA - ${dep}`"
            ],
            "`ANOVA - ${dep}`": [
                "`ANOVA - ${dep}`"
            ],
            "`Model Coefficients - ${ dep }`": [
                "`Modelcoëfficiënten - ${ dep }`"
            ],
            "`Model Coefficients - ${dep}`": [
                "`Modelcoëfficiënten - ${dep}`"
            ],
            "`Proportions - ${var}`": [
                "`Proporties - ${var}`"
            ],
            "±%": [
                "±%"
            ],
            "< Test value": [
                "< toetswaarde"
            ],
            "≠ Test value": [
                "≠ toetswaarde"
            ],
            "> Test value": [
                "> toetswaarde"
            ],
            "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD": [
                "⁻ gemiddelde - 1 st.afw., <sup>μ</sup> gemiddelde, ⁺ gemiddelde + 1 st.afw."
            ],
            "1 - Specificity": [
                "1 - specificiteit"
            ],
            "2 Outcomes": [
                "2 uitkomsten"
            ],
            "25,50,75": [
                "25,50,75"
            ],
            "a (semi)partial correlation matrix table": [
                "een (semi)partiële correlatietabel"
            ],
            "a correlation matrix plot": [
                "een correlatiediagram"
            ],
            "a correlation matrix table": [
                "een correlatietabel"
            ],
            "a descriptives plot": [
                "een diagram met beschrijvende statistische waarden"
            ],
            "A low p-value suggests a violation of the assumption of equal variances": [
                ""
            ],
            "A low p-value suggests a violation of the assumption of normality": [
                ""
            ],
            "A nice correlation data set": [
                "Een mooie correlerende dataset"
            ],
            "a parameter": [
                "a-parameter"
            ],
            "a post-hoc table": [
                "een post-hoc-tabel"
            ],
            "a proportions table": [
                "een proportietabel"
            ],
            "a q-q plot": [
                "een q-q-plot"
            ],
            "A repeated measures ANOVA data set": [
                ""
            ],
            "a summary of the groups": [
                "een groepsamenvatting"
            ],
            "a table containing estimated marginal means": [
                ""
            ],
            "a table containing factor covariances estimates": [
                ""
            ],
            "a table containing factor intercept estimates": [
                ""
            ],
            "a table containing fit measures": [
                "een tabel met pasvormmetingen"
            ],
            "a table containing modification indices for the factor loadings not included in the model": [
                ""
            ],
            "a table containing modification indices for the residual covariances not included in the model": [
                ""
            ],
            "a table containing residual covariances estimates": [
                ""
            ],
            "a table containing residual intercept estimates": [
                ""
            ],
            "a table containing residuals for the observed correlation matrix": [
                ""
            ],
            "a table containing the chi-square test for exact fit": [
                ""
            ],
            "a table containing the collinearity statistics": [
                ""
            ],
            "a table containing the descriptives": [
                "een tabel met beschrijvende statistiek"
            ],
            "a table containing the factor loadings": [
                ""
            ],
            "a table containing the group descriptives": [
                ""
            ],
            "a table containing the homogeneity of variances tests": [
                ""
            ],
            "a table containing the normality test results": [
                ""
            ],
            "a table containing the normality tests": [
                ""
            ],
            "a table containing the results from the Box-Tidwell test": [
                ""
            ],
            "a table containing the t-test results": [
                ""
            ],
            "a table of ANCOVA results": [
                "een tabel met ANCOVA-resultaten"
            ],
            "a table of ANOVA results": [
                "een tabel met ANOVA-resultaten"
            ],
            "a table of comparative measures": [
                "een tabel met vergelijkende metingen"
            ],
            "a table of homogeneity of variances tests": [
                ""
            ],
            "a table of homogeneity tests": [
                "een tabel met homogeniteitstoetsen"
            ],
            "a table of likelihood ratio tests": [
                "een tabel met aannemelijkheidsquotiënttoetsen"
            ],
            "a table of model coefficient thresholds": [
                ""
            ],
            "a table of model coefficients": [
                "een tabel van modelcoëfficiënten"
            ],
            "a table of normality tests": [
                "een tabel met normaliteitstoetsen"
            ],
            "a table of post-hoc residuals": [
                ""
            ],
            "a table of predicted classifications": [
                "een tabel met voorspelde classificaties"
            ],
            "a table of predictive measures": [
                "een tabel met voorspellende metingen"
            ],
            "a table of proportions": [
                "een proportietabel"
            ],
            "a table of test results": [
                "een tabel met toetsresultaten"
            ],
            "a table of the 'nominal' test results": [
                ""
            ],
            "a table of the descriptive statistics": [
                ""
            ],
            "a table of the Friedman test results": [
                ""
            ],
            "a table of the gamma test results": [
                ""
            ],
            "a table of the Kendall's tau-b test results": [
                ""
            ],
            "a table of the Mantel-Haenszel test for trend": [
                ""
            ],
            "a table of the pairwise comparisons": [
                ""
            ],
            "a table of the proportions": [
                "een tabel met proporties"
            ],
            "a table of the proportions and test results": [
                ""
            ],
            "a table of the test results": [
                ""
            ],
            "a table of χ² test results": [
                "een tabel met χ²-toetsresultaten"
            ],
            "Accuracy": [
                "Nauwkeurigheid"
            ],
            "Add New Block": [
                "Nieuw blok toevoegen"
            ],
            "Add New Factor": [
                "Nieuwe factor toevoegen"
            ],
            "Add New Term": [
                "Nieuwe term toevoegen"
            ],
            "Additional Options": [
                "Aanvullende opties"
            ],
            "Additional Output": [
                "Aanvullende uitvoer"
            ],
            "Additional Statistics": [
                "Aanvullende statistieken"
            ],
            "Adjusted R²": [
                "Bijgestelde R²"
            ],
            "AIC": [
                "Akaike-informatiecriterium"
            ],
            "All observations are tied": [
                "Alle waarnemingen zijn verbonden"
            ],
            "Alternative hypothesis": [
                "Alternatieve hypothese"
            ],
            "an array of contrasts tables": [
                "een rij contrasttabellen"
            ],
            "an array of descriptive plots": [
                "een reeks beschrijvende grafieken"
            ],
            "an array of extreme values tables": [
                ""
            ],
            "an array of frequency tables": [
                "een rij frequentietabellen"
            ],
            "an array of groups of plots": [
                ""
            ],
            "an array of model specific results": [
                "een reeks modelspecifieke resultaten"
            ],
            "an array of pairwise comparison tables": [
                ""
            ],
            "an array of post-hoc tables": [
                "een rij post-hoc-tabellen"
            ],
            "an array of Q-Q plots": [
                "een rij Q-Q-plots"
            ],
            "an array of the descriptive plots": [
                ""
            ],
            "an array of the estimated marginal means plots + tables": [
                ""
            ],
            "an array of the posterior plots": [
                ""
            ],
            "an image containing the model path diagram": [
                ""
            ],
            "an image of the descriptive plots": [
                ""
            ],
            "An uninspiring ANOVA data set": [
                "Een ongeïnspireerde ANOVA-dataset"
            ],
            "Analyses bundled with jamovi": [
                "Met jamovi gebundelde analyses"
            ],
            "ANCOVA": [
                "Covariantie-analyse"
            ],
            "Anderson & Rubin": [
                "Anderson & Rubin"
            ],
            "Anderson's Iris Data": [
                "Irisgegevens van Anderson"
            ],
            "ANOVA": [
                "ANOVA"
            ],
            "ANOVA test": [
                "ANOVA-toets"
            ],
            "As there are no between subjects factors specified this assumption is always met.": [
                ""
            ],
            "Assume equal (Fisher's)": [
                "Uitgaan van gelijkheid (Fisher)"
            ],
            "Assumption Checks": [
                "Hypothesetoetsen"
            ],
            "Assumptions": [
                "Hypothesen"
            ],
            "At least one variable must have two levels": [
                ""
            ],
            "AUC": [
                "Oppervlakte onder een kromme"
            ],
            "Autocorrelation": [
                "Autocorrelatie"
            ],
            "Autocorrelation test": [
                "Autocorrelatietoets"
            ],
            "Available for 2x2 tables only": [
                "Alleen beschikbaar voor tabellen van 2x2"
            ],
            "b parameter": [
                "b-parameter"
            ],
            "Bar Plot": [
                "Staafdiagram"
            ],
            "Bar plot": [
                "Staafdiagram"
            ],
            "Bar Plots": [
                "Staafdiagrammen"
            ],
            "Bar Type": [
                "Staaftype"
            ],
            "Bartlett": [
                "Bartlett"
            ],
            "Bartlett's Test of Sphericity": [
                "Sfericiteitstoets van Bartlett"
            ],
            "Bartlett's test of sphericity": [
                "Sfericiteitstoets van Bartlett"
            ],
            "Based on eigenvalue": [
                "Gebaseerd op eigenwaarde"
            ],
            "Based on parallel analysis": [
                "Gebaseerd op parallelle analyse"
            ],
            "Bayes factor": [
                "Bayes-factor"
            ],
            "Bayes factor₁₀": [
                "Bayes-factor₁₀"
            ],
            "Bayesian Statistics": [
                "Bayesiaanse statistieken"
            ],
            "beta 'a' parameter": [
                "bètaparameter 'a'"
            ],
            "beta 'b' parameter": [
                "bètaparameter 'b'"
            ],
            "Between Subject Factors": [
                "Factor tussen elementen"
            ],
            "Between Subjects Components": [
                "Componenten tussen elementen"
            ],
            "Between Subjects Effects": [
                "Effecten tussen elementen"
            ],
            "BIC": [
                "Bayesiaanse informatiecriterium"
            ],
            "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)": [
                ""
            ],
            "Binomial": [
                "Binomiaal"
            ],
            "Binomial Logistic Regression": [
                "Binomiale logistische regressie"
            ],
            "Binomial Test": [
                "Binomiale toets"
            ],
            "Binomial test": [
                "Binomiale toets"
            ],
            "Block {0}": [
                "Blok {0}"
            ],
            "Block 1": [
                "Blok 1"
            ],
            "Blocks": [
                "Blokken"
            ],
            "Bonferroni": [
                "Bonferroni"
            ],
            "Box plot": [
                "Boxplot"
            ],
            "Box Plots": [
                "Boxplots"
            ],
            "Box-Tidwell test": [
                "Box-Tidwell-toets"
            ],
            "Box-Tidwell Test for Linearity of the Logit": [
                ""
            ],
            "Box's Homogeneity of Covariance Matrices Test": [
                ""
            ],
            "Box's M test": [
                "M-toets van Box"
            ],
            "Box's M test for homogeneity of covariance matrices": [
                ""
            ],
            "Bugs (Ryan, Wilde & Crist, 2013)": [
                ""
            ],
            "Cells": [
                "Cellen"
            ],
            "Central Tendency": [
                "Centrummaten"
            ],
            "CFI": [
                "Vergelijkende aanpassingsindex"
            ],
            "Chi-Square Quantiles": [
                "Chi-kwadraatkwantielen"
            ],
            "CI Lower": [
                "Ondergrens betrouwbaarheidsinterval"
            ],
            "CI Upper": [
                "Bovengrens betrouwbaarheidsinterval"
            ],
            "Classification Table": [
                "Klassificatietabel"
            ],
            "Classification table": [
                "Klassificatietabel"
            ],
            "Classification Table – {dep}": [
                "Classificatietabel – {dep}"
            ],
            "Cohen's d": [
                "d van Cohen"
            ],
            "Collinearity Statistics": [
                "Collineairiteitsstatistieken"
            ],
            "Collinearity statistics": [
                "Collineairiteitsstatistieken"
            ],
            "Column": [
                "Kolom"
            ],
            "Column variable '{var}' contains fewer than 2 levels": [
                ""
            ],
            "Columns": [
                "Kolommen"
            ],
            "columns": [
                "kolommen"
            ],
            "Columns compared": [
                "Kolommen vergeleken"
            ],
            "Comparative Measures": [
                "Vergelijkende metingen"
            ],
            "Comparative Measures (2x2 only)": [
                "Vergelijkende metingen (alleen 2x2)"
            ],
            "Compare": [
                "Vergelijken"
            ],
            "Comparison": [
                "Vergelijking"
            ],
            "Comparisons are based on estimated marginal means": [
                ""
            ],
            "Component": [
                "Component"
            ],
            "Component correlations": [
                "Componentcorrelaties"
            ],
            "Component Loadings": [
                "Componentladingen"
            ],
            "Component scores": [
                "Componentscores"
            ],
            "Component Statistics": [
                "Componentstatistieken"
            ],
            "Component summary": [
                "Componentsamenvatting"
            ],
            "component(s)": [
                "component(en)"
            ],
            "Components": [
                "Componenten"
            ],
            "components": [
                "componenten"
            ],
            "Confidence Interval": [
                "Betrouwbaarheidsinterval"
            ],
            "Confidence interval": [
                "Betrouwbaarheidsinterval"
            ],
            "Confidence interval for Mean": [
                "Betrouwbaarheidsinterval voor gemiddelde"
            ],
            "Confidence interval width": [
                "Breedte betrouwbaarheidsinterval"
            ],
            "Confidence Intervals": [
                "Betrouwbaarheidsintervallen"
            ],
            "Confidence intervals": [
                "Betrouwbaarheidsintervallen"
            ],
            "Confidence level": [
                "Betrouwbaarheidsniveau"
            ],
            "Confirmatory Factor Analysis": [
                "Bevestigende factoranalyse"
            ],
            "Constraints": [
                "Beperkingen"
            ],
            "Contingency coefficient": [
                "Kruiscoëfficiënt"
            ],
            "Contingency Tables": [
                "Kruistabel"
            ],
            "Contrasts": [
                "Contrasten"
            ],
            "Contrasts - $key": [
                "Constrasten - $key"
            ],
            "Control Variables": [
                "Controlevariabelen"
            ],
            "Control variables": [
                "Controlevariabelen"
            ],
            "controlling for {items}": [
                "bepalend voor {items}"
            ],
            "Cook's Distance": [
                "Cook-afstand"
            ],
            "Cook's distance": [
                "Cook-afstand"
            ],
            "Correction": [
                "Correctie"
            ],
            "Corrections": [
                "Correcties"
            ],
            "Correlated": [
                "Gecorreleerd"
            ],
            "Correlated negatively": [
                "Correleert negatief"
            ],
            "Correlated positively": [
                "Correleert positief"
            ],
            "Correlation": [
                "Correlatie"
            ],
            "Correlation Coefficients": [
                "Correlatiecoëfficiënten"
            ],
            "Correlation Heatmap": [
                "Correlatie-heatmap"
            ],
            "Correlation heatmap": [
                "Correlatie-heatmap"
            ],
            "Correlation matrices are a way to examine linear relationships between\ntwo or more continuous variables.": [
                ""
            ],
            "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.": [
                ""
            ],
            "Correlation Matrix": [
                "Correlatiematrix"
            ],
            "Correlation matrix": [
                "Correlatiematrix"
            ],
            "Correlation Type": [
                "Correlatietype"
            ],
            "Correlation type": [
                "Correlatietype"
            ],
            "Count": [
                "Tel"
            ],
            "Counts": [
                "Tel"
            ],
            "Counts (optional)": [
                "Tel (optioneel)"
            ],
            "Counts may not be infinite": [
                "Aantallen mogen niet oneindig zijn"
            ],
            "Counts may not be negative": [
                "Aantallen mogen niet negatief zijn"
            ],
            "Counts must be non-negative and finite": [
                ""
            ],
            "Covariates": [
                "Covariaten"
            ],
            "Cox & Snell's R²": [
                "R² van Cox & Snell"
            ],
            "Cramer's V": [
                "Cramers V"
            ],
            "Credible Interval": [
                "Geloofwaardigheidsinterval"
            ],
            "Credible intervals": [
                "Geloofwaardigheidsintervallen"
            ],
            "Cronbach's α": [
                "Cronbachs α"
            ],
            "Cronbach's α (if item is dropped)": [
                ""
            ],
            "cubic": [
                "kubiek"
            ],
            "Cumulative %": [
                "Cumulatief %"
            ],
            "Cut point values": [
                "Snijpuntwaarden"
            ],
            "Cut points for": [
                "Punten verdelen in"
            ],
            "Cut-Off": [
                "Grenswaarde"
            ],
            "Cut-Off Plot": [
                "Grenswaarde grafiek"
            ],
            "Cut-off plot": [
                "Grenswaarde grafiek"
            ],
            "Cut-off value": [
                "Grenswaarde"
            ],
            "Data": [
                "Gegevens"
            ],
            "Data Reduction": [
                "Gegevensreductie"
            ],
            "Data set is currently unweighted": [
                "Gegevensset is momenteel ongewogen"
            ],
            "Data Summary": [
                "Gegevenssamenvatting"
            ],
            "Densities for variables": [
                "Dichtheden voor variabelen"
            ],
            "Density": [
                "Dichtheid"
            ],
            "Dependent": [
                "Afhankelijk"
            ],
            "Dependent Variable": [
                "Afhankelijke variabele"
            ],
            "Dependent variable '{dep}' contains infinite values": [
                "Afhankelijke variabele '{dep}' bevat waarden die oneindig zijn"
            ],
            "Dependent variable '{dep}' contains no data (after removing rows with missing values)": [
                "Afhankelijke variabele '{dep}' bevat geen gegevens (na het verwijderen van rijen met ontbrekende waarden)"
            ],
            "Dependent variable '{dep}' contains only one unique value (after removing rows with missing values)": [
                "Afhankelijke variabele '{dep}' bevat slechts één unieke waarde (na het verwijderen van rijen met ontbrekende waarden)"
            ],
            "Dependent variable '{dep}' must be continuous": [
                "Afhankelijke variabele '{dep}' moet continu zijn"
            ],
            "Dependent Variable Label": [
                "Niveau afhankelijke veriabele"
            ],
            "Dependent Variables": [
                "Afhankelijke variabelen"
            ],
            "Dependent variables are very highly correlated": [
                "Afhankelijke variabelen zijn zeer sterk gecorreleerd"
            ],
            "deprecated": [
                "verouderd"
            ],
            "Descriptive Plot": [
                "Beschrijvende grafiek"
            ],
            "Descriptive plot": [
                "Beschrijvende grafiek"
            ],
            "Descriptives": [
                "Beschrijvende statistiek"
            ],
            "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.": [
                "Onder beschrijvende statistiek valt een breed scala aan samenvattende statistieken en visualisaties waarmee u de vorm en spreiding van gegevens kunt verkennen. Het is verstandig om uw gegevens te verkennen middels beschrijvende statistieken voordat u doorgaat naar geavanceerdere toetsen."
            ],
            "descriptives plot": [
                "beschrijvende grafiek"
            ],
            "Descriptives Plots": [
                "Beschrijvende grafieken"
            ],
            "Descriptives plots": [
                "Beschrijvende grafieken"
            ],
            "Descriptives Table": [
                "Beschrijvende tabel"
            ],
            "Descriptives table": [
                "Beschrijvende tabel"
            ],
            "Deviance": [
                "Deviantie"
            ],
            "Deviance residuals": [
                ""
            ],
            "Deviance residuals (Poisson GLM)": [
                ""
            ],
            "Deviance residuals are adjusted residuals from a Poisson GLM.": [
                ""
            ],
            "Deviation": [
                "Afwijking"
            ],
            "df": [
                "vrijheidsgraden"
            ],
            "df1": [
                "vrijheidsgraden1"
            ],
            "df2": [
                "vrijheidsgraden2"
            ],
            "Difference": [
                "Verschil"
            ],
            "Difference in 2 proportions": [
                "Verschil in 2 proporties"
            ],
            "Difference in proportions": [
                "Proportieverschillen"
            ],
            "Dispersion": [
                "Dispersie"
            ],
            "Distribution": [
                "Verdeling"
            ],
            "Does not support weighted data yet.": [
                ""
            ],
            "Don't assume equal (Welch's)": [
                "Niet uitgaan van gelijkheid (Welch)"
            ],
            "drag variable here": [
                "sleep variabele hierheen"
            ],
            "drag variables here": [
                "sleep variabelen hierheen"
            ],
            "DSCF pairwise comparisons": [
                "DSCF-paarsgewijze vergelijkingen"
            ],
            "Dunn's pairwise comparisons": [
                ""
            ],
            "Durbin–Watson Test for Autocorrelation": [
                "Durbin–Watson-toets voor autocorrelatie"
            ],
            "DW Statistic": [
                "Durbin–Watson-statistiek"
            ],
            "Dwass-Steel-Critchlow-Fligner pairwise comparisons": [
                "Paarsgewijze vergelijkingen van Dwass-Steel-Critchlow-Fligner"
            ],
            "Effect Size": [
                "Effectsterkte"
            ],
            "Effect size": [
                "Effectsterkte"
            ],
            "Eigenvalue": [
                "Eigenwaarde"
            ],
            "Eigenvalues": [
                "Eigenwaarden"
            ],
            "Eigenvalues greater than": [
                "Eigenwaarden groter dan"
            ],
            "Empty cells in between subject design: at least one combination of between subject factor levels has 0 observations": [
                ""
            ],
            "Equal cell weights": [
                "Gelijke celgewichten"
            ],
            "equal groups": [
                "gelijke groepen"
            ],
            "error %": [
                "% fout"
            ],
            "Error bars": [
                "Foutstaven"
            ],
            "Estimate": [
                "Schatten"
            ],
            "Estimate (Log Odds Ratio)": [
                "Schatting (log-odds-ratio)"
            ],
            "Estimate (Log Rate Ratio)": [
                "Schatting (log-rate-ratio)"
            ],
            "Estimated Marginal Means": [
                "Geschatte marginale gemiddelden"
            ],
            "Estimated Marginal Means - {term}": [
                "Geschatte marginale gemiddelden - {term}"
            ],
            "Estimates": [
                "Schattingen"
            ],
            "Estimates represent the log odds of …": [
                ""
            ],
            "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\"": [
                ""
            ],
            "Estimation method": [
                "Schattingsmethode"
            ],
            "Exclude cases analysis by analysis": [
                "Waarden individueel uitsluiten"
            ],
            "Exclude cases listwise": [
                "Waarden lijstmatig uitsluiten"
            ],
            "Excluded": [
                "Uitgesloten"
            ],
            "Expected": [
                "Verwacht"
            ],
            "Expected counts": [
                "Verwacht aantal"
            ],
            "Expected Proportions": [
                "Verwachte proporties"
            ],
            "Exploration": [
                "Verkenning"
            ],
            "Exploratory Factor Analysis": [
                "Verkennende factoranalyse"
            ],
            "Extraction": [
                "Extractie"
            ],
            "Extreme values": [
                "Extreme waarden"
            ],
            "Extreme Values": [
                "Extreme waarden"
            ],
            "Extreme values of $key": [
                "Extreme waarden in $key"
            ],
            "F": [
                "F"
            ],
            "F test": [
                "F-toets"
            ],
            "F-statistic could not be calculated": [
                "F-statistiek kon niet worden berekend"
            ],
            "Factor": [
                "Factor"
            ],
            "Factor '{factor}' has less than two levels. Factors must have at least two levels": [
                ""
            ],
            "Factor '{factor}' needs to have at least 2 levels": [
                ""
            ],
            "Factor '{factorName}' contains no data (after removing rows with missing values)": [
                ""
            ],
            "Factor '{factorName}' contains only a single level (after removing rows with missing values)": [
                ""
            ],
            "Factor '{factorName}' contains unused levels (after removing rows with missing values)": [
                ""
            ],
            "Factor {0}": [
                "Factor {0}"
            ],
            "Factor 1": [
                "Factor 1"
            ],
            "Factor correlations": [
                "Factorcorrelaties"
            ],
            "Factor Covariances": [
                "Factorcovarianties"
            ],
            "Factor covariances": [
                "Factorcovarianties"
            ],
            "Factor Estimates": [
                "Factorschattingen"
            ],
            "Factor Intercepts": [
                "Factoronderscheppingen"
            ],
            "Factor intercepts": [
                "Factoronderscheppingen"
            ],
            "Factor Loadings": [
                "Factorladingen"
            ],
            "Factor Loadings – Modification Indices": [
                "Factorladingen – Modificatie-indices"
            ],
            "Factor scores": [
                "Factorscores"
            ],
            "Factor Statistics": [
                "Factorstatistieken"
            ],
            "Factor summary": [
                "Factorsamenvatting"
            ],
            "Factor variances = 1": [
                "Factorvarianties = 1"
            ],
            "factor(s)": [
                "factor(en)"
            ],
            "Factors": [
                "Factoren"
            ],
            "factors": [
                "factoren"
            ],
            "Fisher's": [
                "Fishers"
            ],
            "Fisher's exact test": [
                "Exacte toets van Fisher"
            ],
            "Fit Measures": [
                "Metingen passend maken"
            ],
            "Fitted": [
                "Gepast"
            ],
            "Fixed Factors": [
                "Vaste factoren"
            ],
            "Fixed number": [
                "Vast aantal"
            ],
            "fixed parameter": [
                "vaste parameter"
            ],
            "Flag significant comparisons": [
                "Significante vergelijkingen markeren"
            ],
            "Flag significant correlations": [
                "Significante overeenkomsten markeren"
            ],
            "flag significant correlations (p < .05) with symbols.": [
                ""
            ],
            "flag significant post-hoc comparisons.": [
                "significante post-hoc-vergelijkingen markeren."
            ],
            "Frequencies": [
                "Frequenties"
            ],
            "Frequencies of $key": [
                "Frequenties van $key"
            ],
            "Frequency tables": [
                "Frequentietabellen"
            ],
            "Friedman": [
                "Friedman"
            ],
            "Full information maximum likelihood": [
                "Maximale aannemelijkheid op basis van volledige informatie"
            ],
            "Games-Howell (unequal variances)": [
                "Games-Howell (ongelijke varianties)"
            ],
            "Games-Howell Post-Hoc Test – {dep}": [
                "Post-hoc-toets van Games-Howell – {dep}"
            ],
            "Gamma": [
                "Gamma"
            ],
            "General Options": [
                "Algemene opties"
            ],
            "Generalised η²": [
                "Gegeneraliseerde η²"
            ],
            "Grand mean (simple coding)": [
                "Algeheel gemiddelde (simpele codering)"
            ],
            "Greenhouse-Geisser": [
                "Greenhouse-Geisser"
            ],
            "Greenhouse-Geisser ε": [
                "Greenhouse-Geisser ε"
            ],
            "Group": [
                "Groep"
            ],
            "Group 1": [
                "Groep 1"
            ],
            "Group 1 < Group 2": [
                "Groep 1 < groep 2"
            ],
            "Group 1 ≠ Group 2": [
                "Groep 1 ≠ groep 2"
            ],
            "Group 1 > Group 2": [
                "Groep 1 > groep 2"
            ],
            "Group 2": [
                "Groep 2"
            ],
            "Group Descriptives": [
                "Beschrijvende statistiek voor groep"
            ],
            "Group Summary": [
                "Groepsamenvatting"
            ],
            "Group summary": [
                "Groepsamenvatting"
            ],
            "Grouping Variable": [
                "Groepeervariabele"
            ],
            "Grouping variable '{a}' has less than 2 levels after missing values are excluded": [
                ""
            ],
            "Grouping variable '{a}' must have exactly 2 levels": [
                ""
            ],
            "Grouping variable '{a}' must not also be a dependent variable": [
                ""
            ],
            "Hₐ is negative correlation": [
                "Hₐ: de correlatie is negatief"
            ],
            "Hₐ is positive correlation": [
                "Hₐ: de correlatie is positief"
            ],
            "Hₐ is proportion {direction} {testValue}": [
                "Hₐ: proportie {direction} {testValue}"
            ],
            "Haldane-Anscombe correction applied": [
                "Correctie van Haldane-Anscombe toegepast"
            ],
            "Harman": [
                "Harman"
            ],
            "Helmert": [
                "Helmert"
            ],
            "hidden": [
                "verborgen"
            ],
            "Hide loadings below": [
                "Ladingen verbergen die lager zijn dan"
            ],
            "Highlight values above": [
                "Waarden markeren die hoger zijn dan"
            ],
            "Histogram": [
                "Histogram"
            ],
            "Histograms": [
                "Histogrammen"
            ],
            "Holm": [
                "Holm"
            ],
            "Homogeneity of Variances Test (Levene's)": [
                "Toets van Levene (homoscedasticiteit)"
            ],
            "Homogeneity test": [
                "Homogeniteitstoets"
            ],
            "Hotelling's Trace": [
                "Wet van Hotelling"
            ],
            "Huynh-Feldt": [
                "Huynh-Feldt"
            ],
            "Huynh-Feldt ε": [
                "Huynh-Feldt ε"
            ],
            "Hypothesis": [
                "Hypothese"
            ],
            "If item dropped": [
                "Als item is laten vallen"
            ],
            "include a summary of the groups": [
                ""
            ],
            "Independent Samples": [
                "Onafhankelijke steekproeven"
            ],
            "Independent Samples T-Test": [
                "Onafhankelijke t-toets"
            ],
            "Indicator": [
                "Indicator"
            ],
            "Initial Eigenvalues": [
                "Oorspronkelijke eigenwaarden"
            ],
            "Initial eigenvalues": [
                "Oorspronkelijke eigenwaarden"
            ],
            "Inter-Component Correlations": [
                "Correlaties tussen componenten"
            ],
            "Inter-Factor Correlations": [
                "Correlaties tussen factoren"
            ],
            "Intercept": [
                "Onderscheppen"
            ],
            "Interval": [
                "Interval"
            ],
            "IQR": [
                "Interkwartielafstand"
            ],
            "It appears that your model has a \\": [
                ""
            ],
            "Item '{item}' consists of one level only": [
                ""
            ],
            "Item '{item}' contains infinite values": [
                "Item '{item}' bevat oneindige waarden"
            ],
            "Item '{item}' contains only missing values": [
                ""
            ],
            "Item '{item}' has no variance": [
                "Item '{item}' heeft geen variantie"
            ],
            "Item '{item}' needs to be numeric": [
                ""
            ],
            "item {item} correlates negatively with the total scale and probably should be reversed": [
                ""
            ],
            "Item Reliability Statistics": [
                "Itembetrouwbaarheidsstatsitiek"
            ],
            "Item Statistics": [
                "Itemstatistieken"
            ],
            "Item-rest correlation": [
                "Item-rest-correlatie"
            ],
            "Items": [
                "Items"
            ],
            "items {items} correlate negatively with the total scale and probably should be reversed": [
                ""
            ],
            "Jittered": [
                "Jitter"
            ],
            "Kendall's Tau B": [
                "Tau B van Kendall"
            ],
            "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": [
                "Maat voor steekproefgeschiktheid van Kaiser–Meyer–Olkin"
            ],
            "KMO measure of sampling adequacy": [
                "Maat voor steekproefgeschiktheid van Kaiser–Meyer–Olkin"
            ],
            "Kruskal-Wallis": [
                "Kruskal-Wallis"
            ],
            "Kurtosis": [
                "Kurtosis"
            ],
            "Label outliers": [
                "Uitschieterlabels"
            ],
            "Layers": [
                "Lagen"
            ],
            "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": [
                ""
            ],
            "Likelihood": [
                "Waarschijnlijkheid"
            ],
            "Likelihood ratio": [
                "Aannemelijkheidsquotiënt"
            ],
            "Likelihood ratio tests": [
                "Aannemelijkheidsquotiënttoetsen"
            ],
            "linear": [
                "lineair"
            ],
            "Linear Regression": [
                "Lineaire regressie"
            ],
            "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.": [
                ""
            ],
            "Log odds ratio": [
                "Log odds ratio"
            ],
            "Log odds ratio exact": [
                "Exacte log-odds-ratio"
            ],
            "Log-Linear Regression": [
                "Log-lineaire regressie"
            ],
            "Logistic Regression": [
                "Logistische regressie"
            ],
            "Lower": [
                "Ondergrens"
            ],
            "lower bound": [
                "ondergrens"
            ],
            "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": [
                "Multivariate covariantie-analyse"
            ],
            "Mann-Whitney U": [
                "Mann-Whitney U"
            ],
            "Mantel-Haenszel": [
                "Mantel-Haenszel"
            ],
            "Mantel-Haenszel Test for Trend": [
                "Neigingstoets van Mantel-Haenszel"
            ],
            "Marginal Mean": [
                "Marginaal gemiddelde"
            ],
            "Marginal Means": [
                "Marginale gemiddelden"
            ],
            "Marginal means plots": [
                "Grafieken van marginale gemiddelden"
            ],
            "Marginal means tables": [
                "Tabellen van marginale gemiddelden"
            ],
            "Mauchly's W": [
                "Mauchly's W"
            ],
            "Max": [
                "Max"
            ],
            "Maximum": [
                "Maximum"
            ],
            "Maximum likelihood": [
                "Maximale waarschijnlijkheid"
            ],
            "McDonald's ω": [
                "McDonalds ω"
            ],
            "McDonald's ω (if item is dropped)": [
                "McDonalds ω (indien item is laten vallen)"
            ],
            "McFadden's R²": [
                "McFaddens R²"
            ],
            "McNemar requires a 2x2 table": [
                "McNemar vereist een tabel van 2x2"
            ],
            "McNemar Test": [
                "McNemar-toets"
            ],
            "McNemar test": [
                "McNemar-toets"
            ],
            "Mean": [
                "Gemiddelde"
            ],
            "Mean ({ciWidth}% CI)": [
                "Gemiddelde ({ciWidth}%-betrouwbaarheidsinterval)"
            ],
            "Mean Difference": [
                "Gemiddeldeverschil"
            ],
            "Mean difference": [
                "Gemiddeldeverschil"
            ],
            "Mean Dispersion": [
                "Gemiddeldespreiding"
            ],
            "Mean score": [
                "Gemiddeldescore"
            ],
            "Mean Square": [
                "Kwadraat gemiddelde"
            ],
            "Means": [
                "Gemiddelden"
            ],
            "Measure": [
                "Meting"
            ],
            "Measure 1 - Measure 2": [
                "Meting 1 - meting 2"
            ],
            "Measure 1 < Measure 2": [
                "Meting 1 < meting 2"
            ],
            "Measure 1 ≠ Measure 2": [
                "Meting 1 ≠ meting 2"
            ],
            "Measure 1 > Measure 2": [
                "Meting 1 > meting 2"
            ],
            "Measures": [
                "Metingen"
            ],
            "Median": [
                "Mediaan"
            ],
            "Medians": [
                "Medianen"
            ],
            "Method": [
                "Methode"
            ],
            "Min": [
                "Min"
            ],
            "Minimum": [
                "Minimum"
            ],
            "Minimum residual": [
                "Minimumresidu"
            ],
            "Minimum residuals": [
                "Minimumresiduen"
            ],
            "Minimum value": [
                "Minimumwaarde"
            ],
            "Missing": [
                "Ontbrekende waarden"
            ],
            "Missing Values": [
                "Ontbrekende waarden"
            ],
            "Missing values": [
                "Ontbrekende waarden"
            ],
            "Missing values exclusion method": [
                "Uitsluitingsmethode ontbrekende waarden"
            ],
            "Missing Values Method": [
                "Methode ontbrekende waarden"
            ],
            "Mode": [
                "Modus"
            ],
            "Model": [
                "Model"
            ],
            "Model Builder": [
                "Modelbouwer"
            ],
            "Model Coefficients": [
                "Modelcoëfficiënten"
            ],
            "Model Comparisons": [
                "Modelvergelijkingen"
            ],
            "Model Fit": [
                "Modelvorm"
            ],
            "Model fit issue detected!": [
                ""
            ],
            "Model Fit Measures": [
                "Modelvormmetingen"
            ],
            "Model fit measures": [
                "Modelvormmetingen"
            ],
            "Model Specific Results": [
                "Modelspecifieke resultaten"
            ],
            "Model Terms": [
                "Modeltermen"
            ],
            "Model Test": [
                "Modeltoets"
            ],
            "Model Thresholds": [
                "Modeldrempelwaarden"
            ],
            "Model thresholds": [
                "Modeldrempelwaarden"
            ],
            "Models estimated using sample size of N={n}": [
                ""
            ],
            "Modification Indices": [
                "Modificatie-indices"
            ],
            "Modification indices": [
                "Modifciatie-indices"
            ],
            "Monte Carlo simulation": [
                "Monte-Carlosimulatie"
            ],
            "More than one mode exists, only the first is reported": [
                "Er bestaat meer dan één modus—alleen de eerste wordt gemeld"
            ],
            "Most extreme": [
                "Buitenste"
            ],
            "MSA": [
                "Meetsysteemanalyse"
            ],
            "Multinomial": [
                "Multinomiaal"
            ],
            "Multinomial Logistic Regression": [
                "Multinomiale logistische regressie"
            ],
            "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.": [
                ""
            ],
            "Multivariate Statistics": [
                "Multivariate statistieken"
            ],
            "Multivariate Tests": [
                "Multivariate toetsen"
            ],
            "N": [
                "N"
            ],
            "N Outcomes": [
                "N uitkomsten"
            ],
            "Nagelkerke's R²": [
                "Nagelkerke's R²"
            ],
            "No components have an eigenvalue greater than {value}": [
                ""
            ],
            "No correction": [
                "Geen correctie"
            ],
            "No factors defined. Box's M test is only relevant when model contains factors.": [
                ""
            ],
            "Nominal": [
                "Nominaal"
            ],
            "Non-Parametric": [
                "Niet-parametrisch"
            ],
            "None": [
                "Geen"
            ],
            "none": [
                "geen"
            ],
            "Normal Scaled Items": [
                "Normaal geschaalde items"
            ],
            "Normality": [
                "Normaliteit"
            ],
            "Normality test": [
                "Normaliteitstoets"
            ],
            "Normality Test (Shapiro-Wilk)": [
                "Normaliteitstoets (Shapiro-Wilk)"
            ],
            "Not all coefficients could be estimated (likely due to singular fit)": [
                ""
            ],
            "Not all statistics support weighted data yet.": [
                ""
            ],
            "Not available due to too large number of cases (> 5000).": [
                "Niet beschikbaar omdat het een groot aantal items betreft (> 5000)."
            ],
            "Not enough degrees of freedom to estimate all the model effects": [
                "Vrijheidsgraad te klein om alle modeleffecten in te schatten"
            ],
            "Number of Components": [
                "Aantal componenten"
            ],
            "Number of components": [
                "Aantal componenten"
            ],
            "Number of extreme values": [
                "Aantal extreme waarden"
            ],
            "Number of Factors": [
                "Aantal factoren"
            ],
            "Number of factors": [
                "Aantal factoren"
            ],
            "Number of requested extreme values is higher than the number of rows in the data.": [
                ""
            ],
            "Oblimin": [
                "Oblimin"
            ],
            "oblimin": [
                "oblimin"
            ],
            "Observed": [
                "Waargenomen"
            ],
            "Observed counts": [
                "Waargenomen aantal"
            ],
            "Observed scores": [
                "Waargenomen scores"
            ],
            "octic": [
                "octisch"
            ],
            "Odds Ratio": [
                "Kansverhouding"
            ],
            "Odds ratio": [
                "Kansverhouding"
            ],
            "of total": [
                "van totaal"
            ],
            "Omnibus ANOVA Test": [
                "Omnibus-ANOVA-toets"
            ],
            "Omnibus Likelihood Ratio Tests": [
                "Aannemelijkheidsquotiënttoetsen van Omnibus"
            ],
            "Omnibus Test": [
                "Omnibustoets"
            ],
            "Omnibus Tests": [
                "Omnibustoetsen"
            ],
            "One or both groups do not contain enough observations": [
                ""
            ],
            "One or both variables are not numeric": [
                ""
            ],
            "One or both variables contain infinite values": [
                ""
            ],
            "One or both variables contain no observations": [
                "Eén of beide variabelen bevatten geen waarnemingen"
            ],
            "One or both variables do not contain enough observations": [
                ""
            ],
            "One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity.": [
                ""
            ],
            "One Sample Proportion Tests": [
                "Proportietoetsen voor één steekproef"
            ],
            "One Sample T-Test": [
                "t-toets voor één steekproef"
            ],
            "One-Way ANOVA": [
                "Eenzijdige ANOVA"
            ],
            "One-Way ANOVA (Fisher's)": [
                "Eenzijdige ANOVA (van Fisher)"
            ],
            "One-Way ANOVA (Non-parametric)": [
                "Eenzijdige ANOVA (niet-parametrisch)"
            ],
            "One-Way ANOVA (Welch's)": [
                "Eenzijdige ANOVA (van Welch)"
            ],
            "Options": [
                "Opties"
            ],
            "Ordinal": [
                "Ordinaal"
            ],
            "Ordinal Logistic Regression": [
                "Ordinale logistische regressie"
            ],
            "Ordinal Outcomes": [
                "Ordinale uitkomsten"
            ],
            "Outliers": [
                "Uitschieters"
            ],
            "Output": [
                "Uitvoer"
            ],
            "Overall": [
                "Algeheel"
            ],
            "Overall model": [
                "Algeheel model"
            ],
            "Overall Model Test": [
                "Algehele modeltoets"
            ],
            "Overall model test": [
                "Algehele modeltoets"
            ],
            "p": [
                "p"
            ],
            "p <": [
                ""
            ],
            "p-value": [
                "p-waarde"
            ],
            "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>scheffe</sub>"
            ],
            "p<sub>tukey</sub>": [
                "p<sub>tukey</sub>"
            ],
            "Paired Samples": [
                "Gepaarde steekproeven"
            ],
            "Paired Samples Contingency Tables": [
                "Kruistabellen voor verbonden steekproeven"
            ],
            "Paired Samples T-Test": [
                "t-toets voor twee steekproeven"
            ],
            "Paired Variables": [
                "Gepaarde variabelen"
            ],
            "Pairwise comparisons - $key": [
                "Paarsgewijze vergelijkingen - $key"
            ],
            "Pairwise Comparisons (Durbin-Conover)": [
                "Paarsgewijze vergelijkingen van Durbin-Conover"
            ],
            "Pairwise comparisons (Durbin-Conover)": [
                "Paarsgewijze vergelijkingen van Durbin-Conover"
            ],
            "Partial": [
                "Deels"
            ],
            "Partial Correlation": [
                "Deelse correlatie"
            ],
            "Partial correlation matrices are a way to examine linear relationships\nbetween two or more continuous variables while controlling for other\nvariables": [
                ""
            ],
            "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.": [
                ""
            ],
            "Partial η²": [
                "Deelse η²"
            ],
            "partial η²": [
                "deelse η²"
            ],
            "Participants (rows) below p-threshold": [
                ""
            ],
            "Path Diagram": [
                "Wegendiagram"
            ],
            "Path diagram": [
                "Wegendiagram"
            ],
            "Pearson": [
                "Pearson"
            ],
            "Pearson correlation cannot be calculated for non-numeric values": [
                ""
            ],
            "Pearson residuals": [
                ""
            ],
            "Pearson's r": [
                "Pearsons r"
            ],
            "Pearson{}Correlation": [
                "Pearson{}correlatie"
            ],
            "Percentages": [
                "Percentages"
            ],
            "Percentages of total": [
                "Percentages van totaal"
            ],
            "Percentages within {var}": [
                "Percentages binnen {var}"
            ],
            "Percentile": [
                "Percentiel"
            ],
            "Percentile Values": [
                "Percentielwaarden"
            ],
            "Percentile values": [
                "Percentielwaarden"
            ],
            "Percentiles": [
                "Percentielen"
            ],
            "perform a Mann-Whitney U test.": [
                "voer een U-toets van Mann-Whitney uit."
            ],
            "perform a Shapiro-Wilk test of normality. A low p-value suggests the data is not from a normal distribution.": [
                ""
            ],
            "perform an overall model test.": [
                "voer een algehele modeltoets uit."
            ],
            "perform Fisher's (or what might be call 'normal') ANOVAs.": [
                ""
            ],
            "perform Shapiro-Wilk tests of normality. A low p-value suggests the data is not from a normal distribution.": [
                ""
            ],
            "perform Shapiro-Wilk tests of normality. A low p-value suggests the residuals are not normally distributed.": [
                ""
            ],
            "perform Student's independent samples t-tests.": [
                "voer een t-toets van Student voor onafhankelijke steekproeven uit."
            ],
            "perform Student's one-sample t-tests.": [
                "voer t-toetsen van Student uit voor één steekproef."
            ],
            "perform Student's paired samples t-tests.": [
                "voer een t-toets van Student voor gepaarde steekproeven uit."
            ],
            "perform Welch's ANOVAs.": [
                "voer ANOVA's van Welch uit."
            ],
            "perform Welch's tests.": [
                "Welch-toetsen uitvoeren."
            ],
            "perform Wilcoxon signed rank tests.": [
                "voer rangtekentoetsen van Wilcoxon uit."
            ],
            "Phi and Cramer's V": [
                "V van Phi en Cramer"
            ],
            "Phi-coefficient": [
                "Phi-coëfficiënt"
            ],
            "Pillai's Trace": [
                "Pillai's spoor"
            ],
            "Plot": [
                "Grafiek"
            ],
            "plot densities along the diagonal of the correlation matrix plot.": [
                ""
            ],
            "plot the data along with the marginal means.": [
                ""
            ],
            "Plot Type": [
                "Grafiektype"
            ],
            "Plots": [
                "Grafieken"
            ],
            "Plots are not yet supported for weighted descriptives.": [
                ""
            ],
            "Polynomial": [
                "Polynomiaal"
            ],
            "Post Hoc Comparisons - {term}": [
                "Post-hoc-vergelijkingen - {term}"
            ],
            "Post Hoc Test": [
                ""
            ],
            "Post Hoc Test ({title})": [
                ""
            ],
            "Post Hoc Tests": [
                "Post-Hoc-toetsen"
            ],
            "Post Hoc Tests – $key": [
                "Post-hoc-toetsen – $key"
            ],
            "Post-Hoc Model Performance": [
                "Post-Hoc-modelprestaties"
            ],
            "Post-Hoc Test": [
                "Post-Hoc-toets"
            ],
            "Post-Hoc Tests": [
                "Post-Hoc-toetsen"
            ],
            "Posterior": [
                "Posterior"
            ],
            "Posterior plot": [
                "Posterior-diagram"
            ],
            "Posterior Plots": [
                "Posterior-diagrammen"
            ],
            "Predicted": [
                "Voorspeld"
            ],
            "Predicted probability of … = … (vs … = …)": [
                "Verwachte waarschijnlijkheid van … = … (versus … = …)"
            ],
            "Predicted probability of {dep} = {level1} (vs {dep} = {level2})": [
                "Verwachte waarschijnlijkheid van {dep} = {level1} (versus {dep} = {level2})"
            ],
            "Predicted values": [
                "Voorspelde waarden"
            ],
            "Prediction": [
                "Voorspelling"
            ],
            "Predictive Measures": [
                "Voorspelde metingen"
            ],
            "Predictor": [
                "Voorspeller"
            ],
            "Predictors": [
                "Voorspellers"
            ],
            "Principal axis": [
                "Hoofdas"
            ],
            "Principal axis factoring": [
                "Factorisatie hoofdas"
            ],
            "Principal Component Analysis": [
                "Analyse hoofdcomponent"
            ],
            "Prior": [
                "A priori"
            ],
            "Prior width": [
                "Eerdere breedte"
            ],
            "Probability": [
                "Waarschijnlijkheid"
            ],
            "Promax": [
                "Promax"
            ],
            "promax": [
                "promax"
            ],
            "Proportion": [
                "Proportie"
            ],
            "Proportion Test (2 Outcomes)": [
                "Proportietoets (2 uitkomsten)"
            ],
            "Proportion Test (N Outcomes)": [
                "Proportietoets (N uitkomsten)"
            ],
            "provide a Cohen's d measure of effect size for the post-hoc tests.": [
                ""
            ],
            "provide a confidence interval for the difference between the mean estimate and the test value.": [
                ""
            ],
            "provide a correlation matrix plot.": [
                "geef een correlatiediagram op."
            ],
            "provide a Kendall's tau-b for each combination of variables.": [
                ""
            ],
            "provide a p-value for each correlation co-efficient.": [
                ""
            ],
            "provide a Pearson's r for each combination of variables.": [
                ""
            ],
            "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.": [
                ""
            ],
            "provide a Spearman's rho for each combination of variables.": [
                ""
            ],
            "provide a table of descriptives for each variable.": [
                ""
            ],
            "provide a table of the estimated marginal means.": [
                ""
            ],
            "provide Bayes factors for the Student's independent samples t-tests.": [
                ""
            ],
            "provide Bayes factors for the Student's one-sample t-tests.": [
                ""
            ],
            "provide Bayes factors for the Student's paired samples t-tests.": [
                ""
            ],
            "provide confidence intervals for Pearson's r.": [
                ""
            ],
            "provide confidence intervals for the effect-sizes": [
                ""
            ],
            "provide confidence intervals for the mean differences.": [
                ""
            ],
            "provide confidence intervals for the post-hoc effect sizes.": [
                ""
            ],
            "provide correlation co-efficients in the correlation matrix plot.": [
                ""
            ],
            "provide descriptive plots for each group.": [
                ""
            ],
            "provide descriptive plots for each variable.": [
                ""
            ],
            "provide descriptives for each group of measurements.": [
                ""
            ],
            "provide descriptives for each group.": [
                "geef beschrijvende statistieken op voor elke groep."
            ],
            "provide descriptives plots.": [
                "geef beschrijvende diagrammen op."
            ],
            "provide effect-sizes (Cohen's D).": [
                "geef effectsterkten op (d van Cohen)."
            ],
            "provide effect-sizes (Cohen's d).": [
                "geef effectsterkten op (d van Cohen)."
            ],
            "provide Levene's test for homogeneity of variances. A low p-value suggests the groups have unequal variances.": [
                ""
            ],
            "provide Levene's tests for the homogeneity of variances. A low p-value suggests the groups have unequal variances.": [
                ""
            ],
            "provide mean differences and standard errors of the mean differences.": [
                ""
            ],
            "provide mean differences with the post-hoc tests.": [
                ""
            ],
            "provide mean differences, and standard errors of the mean differences, between the mean estimate, and the test value.": [
                ""
            ],
            "provide measures of effect size; η², partial η², or ω².": [
                ""
            ],
            "provide p-value corrections for sphericity.": [
                "geef p-waardecorrecties op voor sfericiteit."
            ],
            "provide plots of the estimated marginal means.": [
                ""
            ],
            "provide post-hoc tests.": [
                "geef post-hoc-toetsen op."
            ],
            "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.": [
                ""
            ],
            "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.": [
                ""
            ],
            "provide significance levels for the post-hoc tests.": [
                ""
            ],
            "provide sphericity tests.": [
                "geef sfericiteitstoetsen op."
            ],
            "provide test results (t-value and degrees of freedom) for post-hoc tests.": [
                ""
            ],
            "provide the number of cases.": [
                "geef het aantal waarden op."
            ],
            "Pseudo R²": [
                "Pseudo-R²"
            ],
            "Q-Q": [
                "Q-Q"
            ],
            "Q-Q Plot": [
                "Q-Q-plot"
            ],
            "Q-Q plot": [
                "Q-Q-plot"
            ],
            "Q-Q Plot Assessing Multivariate Normality": [
                "Q-Q-plot die multivariate normaliteit evalueert"
            ],
            "Q-Q plot of multivariate normality": [
                "Q-Q-plot van multivariate normaliteit"
            ],
            "Q-Q plot of residuals": [
                "Q-Q-plot van residuen"
            ],
            "Q-Q Plots": [
                "Q-Q-plots"
            ],
            "Q-Q plots": [
                "Q-Q-plots"
            ],
            "quadratic": [
                "kwadratisch"
            ],
            "quartic": [
                "kwartisch"
            ],
            "Quartimax": [
                "Quartimax"
            ],
            "quartimax": [
                "quartimax"
            ],
            "quintic": [
                "kwintisch"
            ],
            "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": [
                "Bereik"
            ],
            "Rank biserial correlation": [
                "Biseriële rangcorrelatie"
            ],
            "Rate Ratio": [
                "Snelheidsverhouding"
            ],
            "Rate ratio": [
                "Snelheidsverhouding"
            ],
            "Ratio": [
                "Ratio"
            ],
            "Reference Level": [
                "Referentieniveau"
            ],
            "Reference level (dummy coding)": [
                "Referentieniveau (dummycodering)"
            ],
            "Reference Levels": [
                "Referentieniveaus"
            ],
            "Regression": [
                "Regressie"
            ],
            "Relative risk": [
                "Relatief risico"
            ],
            "Reliability Analysis": [
                "Betrouwbaarheidsanalyse"
            ],
            "Repeated": [
                "Herhaald"
            ],
            "Repeated Measures ANOVA": [
                "ANOVA voor herhaalde metingen"
            ],
            "Repeated Measures ANOVA (Non-parametric)": [
                "ANOVA voor herhaalde metingen (niet-parametrisch)"
            ],
            "Repeated Measures Cells": [
                "Cellen met herhaalde metingen"
            ],
            "Repeated Measures Components": [
                "Componenten voor herhaalde metingen"
            ],
            "Repeated Measures Factors": [
                "Factoren voor hehaalde metingen"
            ],
            "Report significance": [
                "Significantie melden"
            ],
            "Represents grand mean": [
                "Representeert het algehele gemiddelde"
            ],
            "Represents reference level": [
                "Representeert het referentieniveau"
            ],
            "Residual": [
                "Residu"
            ],
            "Residual Covariances": [
                "Covarianties van residuen"
            ],
            "Residual covariances": [
                "Covarianties van residuen"
            ],
            "Residual Covariances – Modification Indices": [
                "Covarianties van residu's - modificatie-indices"
            ],
            "Residual Estimates": [
                "Schattingen van residuen"
            ],
            "Residual Intercepts": [
                "Onderscheppingen van residuen"
            ],
            "Residual intercepts": [
                "Onderscheppingen van residuen"
            ],
            "Residual plots": [
                "Grafieken van residuen"
            ],
            "Residual sum of squares and/or degrees of freedom are zero, indicating a perfect fit": [
                ""
            ],
            "Residuals": [
                "Residuen"
            ],
            "Residuals for Observed Correlation Matrix": [
                "Residuen waargenomen correlatiematrix"
            ],
            "Residuals from ANOVA": [
                "Residuen van ANOVA"
            ],
            "Residuals observed correlation matrix": [
                "Residuen waargenomen correlatiematrix"
            ],
            "Residuals Plots": [
                "Grafieken van residuen"
            ],
            "Results": [
                "Resultaten"
            ],
            "reverse scaled item": [
                "omgekeerd geschaald item"
            ],
            "Reverse Scaled Items": [
                "Omgekeerd geschaalde items"
            ],
            "RM Factor 1": [
                "Factor 1 voor herhaalde metingen"
            ],
            "RMSE": [
                "Wortel-gemiddelde-kwadraatafwijking"
            ],
            "RMSEA": [
                "Schatting wortel-gemiddelde-kwadraatafwijking"
            ],
            "RMSEA 90% CI": [
                "RMSEA-90%-betrouwbaarheidsinterval"
            ],
            "ROC": [
                "ROC"
            ],
            "ROC Curve": [
                "ROC-kromme"
            ],
            "ROC curve": [
                "ROC-kromme"
            ],
            "Rotation": [
                "Rotatie"
            ],
            "Row": [
                "Rij"
            ],
            "Row number": [
                "Rijnummer"
            ],
            "Row variable '{var}' contains fewer than 2 levels": [
                ""
            ],
            "Rows": [
                "Rijen"
            ],
            "rows": [
                "rijen"
            ],
            "Rows compared": [
                "Rijen vergeleken"
            ],
            "Roy's Largest Root": [
                "Grootste wortel (Roy)"
            ],
            "Sample Size": [
                "Steekproefomvang"
            ],
            "Save": [
                "Opslaan"
            ],
            "scale": [
                "schaal"
            ],
            "Scale Analysis": [
                "Schaalanalyse"
            ],
            "Scale factor = scale first indicator": [
                ""
            ],
            "Scale Reliability Statistics": [
                "Schaalbetrouwbaarheidsstatistiek"
            ],
            "Scale Statistics": [
                "Schaalstatistiek"
            ],
            "Scheffe": [
                "Scheffe"
            ],
            "Score Component": [
                "Scorecomponent"
            ],
            "Score Factor": [
                "Scorefactor"
            ],
            "Score for component": [
                "Componentscore"
            ],
            "Score for factor {i}. Estimated using the '{fsMethod}' method.": [
                ""
            ],
            "Scree Plot": [
                "Screeplot"
            ],
            "Scree plot": [
                "Screeplot"
            ],
            "SD": [
                "Standaardafwijking"
            ],
            "SE": [
                "Standaardfout"
            ],
            "SE difference": [
                "Verschil in standaardfout"
            ],
            "Semipartial": [
                "Semideels"
            ],
            "Semipartial Correlation": [
                "Semi-partiële correlatie"
            ],
            "Sensitivity": [
                "Sensitiviteit"
            ],
            "septic": [
                "septisch"
            ],
            "sextic": [
                "sextisch"
            ],
            "Shapiro-Wilk": [
                "Shapiro-Wilk"
            ],
            "Shapiro-Wilk Multivariate Normality Test": [
                "Multivariate normaliteitstoets van Shapiro-Wilk"
            ],
            "Shapiro-Wilk p": [
                "p van Shapiro-Wilk"
            ],
            "Shapiro-Wilk test": [
                "Shapiro-Wilk-toets"
            ],
            "Shapiro-Wilk test for multivariate normality": [
                "Toets van Shapiro-Wilk voor multivariate normaliteit"
            ],
            "Shapiro-Wilk W": [
                "W van Shapiro-Wilk"
            ],
            "Side by side": [
                "Naast elkaar"
            ],
            "Simple": [
                "Simpel"
            ],
            "Simplimax": [
                "Simplimax"
            ],
            "simplimax": [
                "simplimax"
            ],
            "Simulations": [
                "Simulaties"
            ],
            "Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables.": [
                ""
            ],
            "Singularity error. Sphericity corrections are not available": [
                ""
            ],
            "Singularity error. Sphericity tests are not available": [
                ""
            ],
            "Skewness": [
                "Scheefheid"
            ],
            "Sort loadings by size": [
                "Ladingen sorteren op grootte"
            ],
            "Spearman": [
                "Spearman"
            ],
            "Spearman's rho": [
                "rho van Spearman"
            ],
            "Specificity": [
                "Specificiteit"
            ],
            "Sphericity Correction": [
                "Sfericiteitscorrectie"
            ],
            "Sphericity corrections": [
                "Sfericiteitscorrecties"
            ],
            "Sphericity tests": [
                "Sfericiteitstoetsen"
            ],
            "Split by": [
                "Gesplitst op"
            ],
            "Squared Mahalanobis Distance": [
                "Kwadratische Mahalanobis-afstand"
            ],
            "SRMR": [
                "SRMR"
            ],
            "SS Loadings": [
                "Som van ladingskwadraten"
            ],
            "Stacked": [
                "Gestapeld"
            ],
            "Stand. Estimate": [
                "Standaardschatting"
            ],
            "Standard deviation": [
                "Standaardafwijking"
            ],
            "Standard Error": [
                "Standaardfout"
            ],
            "Standard error": [
                "Standaardfout"
            ],
            "Standardized Estimate": [
                "Gestandaardiseerde schatting"
            ],
            "Standardized estimate": [
                "Gestandaardiseerde schatting"
            ],
            "Standardized Residuals": [
                "Gestandaardiseerde residuen"
            ],
            "Standardized residuals": [
                ""
            ],
            "Standardized residuals (adjusted Pearson)": [
                ""
            ],
            "Statistic": [
                "Statistiek"
            ],
            "statistic": [
                "statistiek"
            ],
            "Statistics": [
                "Statistieken"
            ],
            "Std. deviation": [
                "Standaardafw."
            ],
            "Std. error kurtosis": [
                "Standaardfout kurtosis"
            ],
            "Std. error mean": [
                "Standaardfout gemiddelde"
            ],
            "Std. error of Mean": [
                "Standaardfout van gemiddelde"
            ],
            "Std. error skewness": [
                "Standaardfout scheefheid"
            ],
            "Student's": [
                "Student"
            ],
            "Student's t": [
                "t van Student"
            ],
            "Student's test": [
                "Student-toets"
            ],
            "Sum": [
                "Som"
            ],
            "Sum of Squares": [
                "Som van kwadraten"
            ],
            "Sum of squares": [
                "Som van kwadraten"
            ],
            "Sum score": [
                "Scoretotaal"
            ],
            "Summary": [
                "Samenvatting"
            ],
            "t": [
                "t"
            ],
            "T-Tests": [
                "t-toetsen"
            ],
            "t-value": [
                "t-waarde"
            ],
            "ten Berge": [
                "Ten Berge"
            ],
            "Term {0}": [
                "Term {0}"
            ],
            "Term 1": [
                "Term 1"
            ],
            "Test for Exact Fit": [
                "Toets voor exact passende vorm"
            ],
            "Test results (t and df)": [
                "Toetsresultaten (t en df)"
            ],
            "Test statistics": [
                "Toetsstatistieken"
            ],
            "Test Value": [
                "Toetswaarde"
            ],
            "Test value": [
                "Toetswaarde"
            ],
            "Tests": [
                "Toetsen"
            ],
            "Tests of Sphericity": [
                "Sfericiteitstoets"
            ],
            "th percentile": [
                "ᵉ percentiel"
            ],
            "The 'iris' data set from R": [
                ""
            ],
            "The 'split by' variable '{var}' contains no 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 |": [
                "de alternatieve en nulhypothesen;\n\n|               | Alternatief (Hₐ)   | Nul (H₀)            |\n|--------------|-------------------|--------------------|\n| ≠ toetswaarde | gem. ≠ toetswaarde | gem. = toetswaarde  |\n| > toetswaarde | gem. > toetswaarde | gem. <= toetswaarde |\n| < toetswaarde | gem. < toetswaarde | gem. >= toetswaarde |"
            ],
            "the alternative hypothesis.": [
                "de alternatieve hypothese."
            ],
            "the alternative hypothesis. Allows for one-tailed tests.": [
                ""
            ],
            "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.": [
                ""
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables.": [
                ""
            ],
            "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.": [
                ""
            ],
            "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.": [
                "Variantieanalyse (vaak ANOVA) wordt gebruikt om de verhouding tussen\neen continue afhankelijke variabele en één of meerdere categorische\nvariabelen. Deze 'eenzijdige ANOVA' is een versimpelde versie van de\n'normale' ANOVA die maar één categorische variabele toestaat, maar die\ntoch een ANOVA van Welch biedt. Dat heeft het voordeel dat er niet\naangenomen hoeft te worden dat de varianties van alle groepen gelijk zijn."
            ],
            "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.": [
                ""
            ],
            "the between subjects factors (optional).": [
                "de factoren binnen elementen (optioneel)."
            ],
            "the between subjects terms of the model.": [
                "de modeltermen die van toepassing zijn tussen elementen."
            ],
            "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.": [
                "De binomiale toets wordt gebruikt om de nulhypothese, dat de steekproefproportie overeenkomt met een verwachte waarde, te toetsen. Een lage p-waarde duidt erop dat de nulhypothese onjuist is. De ware proportie moet dan gelijk zijn aan een andere waarde."
            ],
            "the categorical explanatory (or independent) variables.": [
                "de categorische verklarende (of onafhankelijke) variabelen."
            ],
            "The CI of the mean assumes sample means follow a t-distribution with N - 1 degrees of freedom": [
                ""
            ],
            "the confidence interval width for the effect-sizes.": [
                ""
            ],
            "the confidence interval width for the post-hoc effect sizes.": [
                ""
            ],
            "the confidence interval width.": [
                "de breedte van het betrouwbaarheidsinterval."
            ],
            "the continuous explanatory (or independent) variables, also known as covariates.": [
                ""
            ],
            "the contrasts to use.": [
                "de contrasten die moeten worden gebruikt."
            ],
            "the control variables of interest.": [
                "de betreffende controlevariabelen."
            ],
            "the covariates (specifying these makes this an ANCOVA)": [
                ""
            ],
            "The cut-off value is set to {}": [
                "De afsnijdwaarde is {}"
            ],
            "The dataset contains 0 rows (after removing rows with missing values)": [
                "De dataset bevat 0 rijen (na verwijderen van rijen met ontbrekende waarden)"
            ],
            "The dataset contains 0 rows (or all rows contain missing values)": [
                "De dataset bevat 0 rijen (of alle rijen bevatten ontbrekende waarden)"
            ],
            "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels.": [
                "De afhankelijke variabele '{}' heeft meer dan twee niveaus. Binomiale logistische regressie kan alleen worden toegepast op afhankelijke variabelen die binomiaal zijn (twee niveaus hebben)."
            ],
            "The dependent variable '{dep}' has the following order: {orderedLevels}": [
                "De afhankelijke variabele '{dep}' heeft als volgorde: {orderedLevels}"
            ],
            "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression.": [
                "De afhankelijke variabele '{dep}' heeft slechts twee niveaus. Overweeg een binomiale logistische regressie toe te passen."
            ],
            "the dependent variable. For ANCOVA, these will be continuous.": [
                "de afhankelijke variabele. Voor ANCOVA moet deze continu zijn."
            ],
            "the dependent variable. For ANOVA, these will be continuous.": [
                "de afhankelijke variabele. Voor ANOVA moet deze continu zijn."
            ],
            "the dependent variables -- a separate t-test is performed for each dependent variable specified.": [
                "de afhankelijke variabelen -- een losse t-toets wordt uitgevoerd voor elke opgegeven afhankelijke variabele."
            ],
            "the dependent variables. For ANOVA, these will be continuous.": [
                "de afhankelijke variabelen. Voor ANOVA moeten deze continu zijn."
            ],
            "the error bars to plot on the marginal means.": [
                "de foutbalken die op de marginale gemiddelden geplot moeten worden."
            ],
            "the explanatory or independent variable. For ANOVA this will be categorical.": [
                ""
            ],
            "the explanatory or independent variables. For ANOVA these will be categorical.": [
                ""
            ],
            "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.": [
                ""
            ],
            "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.": [
                ""
            ],
            "the label to use for the dependent variable.": [
                ""
            ],
            "the lavaan syntax used to fit the model": [
                ""
            ],
            "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.": [
                ""
            ],
            "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.": [
                ""
            ],
            "the model terms which make up the model.": [
                ""
            ],
            "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.": [
                ""
            ],
            "the pairs of measurements -- a separate t-test is performed for each pair of measurements.": [
                ""
            ],
            "the post-hoc multiple comparisons corrections to use.": [
                ""
            ],
            "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.01 and 2.0, default 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.": [
                ""
            ],
            "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.": [
                "De 'ANOVA voor herhaalde metingen' wordt gebruikt om de verhouding\ntussen een continue afhankelijke variabele en één of meerdere categorische\nvariabelen te verkennen, waarbij minstens één van de categorische variabelen\n'binnen onderwerpen' zijn (meerdere metingen van hetzelfde onderwerp).\nBij deze analyse kunnen covariaten worden ingesloten, wat 'ANOVA voor\nherhaalde metingen' toestaat."
            ],
            "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.": [
                ""
            ],
            "the repeated measures design.": [
                "het design voor herhaalde metingen."
            ],
            "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels.": [
                ""
            ],
            "the repeated measures measurements.": [
                "de metingen voor herhaalde metingen."
            ],
            "the repeated measures terms of the model.": [
                ""
            ],
            "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.": [
                ""
            ],
            "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).": [
                ""
            ],
            "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.": [
                ""
            ],
            "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).": [
                ""
            ],
            "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.": [
                ""
            ],
            "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).": [
                ""
            ],
            "the terms to provide estimated marginal means for. Here you can specify multiple terms.": [
                ""
            ],
            "the test value to test against (typically zero).": [
                ""
            ],
            "the type of correlation to calculate": [
                ""
            ],
            "the type of sums of squares to use; Type 1, 2, or 3.": [
                ""
            ],
            "the type of sums of squares to use; Type 2, or 3.": [
                ""
            ],
            "The underlying `aov` object": [
                "Het onderliggende `aov`-object"
            ],
            "The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable.": [
                ""
            ],
            "the variable specifying the groups; must have 2 levels.": [
                ""
            ],
            "The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables.": [
                ""
            ],
            "the variables of interest -- a separate t-test is performed for each variable specified.": [
                ""
            ],
            "the variables of interest.": [
                "de relevante variabelen."
            ],
            "the width for the Confidence intervals.": [
                ""
            ],
            "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.": [
                "De χ²-goodness-of-fittoets (niet te verwarren met de χ²-onafhankelijkheidstoets) toetst de nulhypothese dat de steekproefproporties overeenkomen met de verwachte proporties. Een lage p-waarde suggereert dat deze nulhypothese onjuist is en dat de ware proporties dus afwijken van de getoetste proporties."
            ],
            "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.": [
                "De χ²-toets voor afhankelijkheid (niet te verwarren met de χ²-goodness-of-fit) wordt gebruikt om na te gaan of twee categorische variabelen afhankelijk dan wel onafhankelijk zijn. Een lage p-waarde suggereert dat er een verband is tussen de variabelen en dat ze dus niet onafhankelijk zijn."
            ],
            "Theoretical Quantiles": [
                "Theoretische kwantielen"
            ],
            "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).": [
                ""
            ],
            "Threshold": [
                "Drempelwaarde"
            ],
            "Thresholds": [
                "Drempelwaarden"
            ],
            "Thurstone": [
                "Thurstone"
            ],
            "Tjur's R²": [
                "R² van Tjur"
            ],
            "TLI": [
                "TLI"
            ],
            "Tolerance": [
                "Tolerantie"
            ],
            "Too few observations (N < 3) to compute statistic": [
                ""
            ],
            "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables.": [
                ""
            ],
            "Too few samples to compute statistic (N < {n})": [
                ""
            ],
            "Too few samples to compute statistic (N < 3)": [
                ""
            ],
            "Too many observations (N > 5000) to compute statistic": [
                ""
            ],
            "Too many samples to compute statistic (N > {n})": [
                ""
            ],
            "Too many samples to compute statistic (N > 5000)": [
                ""
            ],
            "Tooth Growth": [
                "Tandgroei"
            ],
            "Total": [
                "Totaal"
            ],
            "Tukey": [
                "Tukey"
            ],
            "Tukey (equal variances)": [
                "Tukey (gelijke varianties)"
            ],
            "Tukey Post-Hoc Test – {dep}": [
                "Post-Hoctoets van Tukey – {dep}"
            ],
            "Type {ssType} Sums of Squares": [
                "Kwadraatsommen type {ssType}"
            ],
            "Type 1": [
                "Type 1"
            ],
            "Type 2": [
                "Type 2"
            ],
            "Type 3": [
                "Type 3"
            ],
            "Type 3 sum of squares": [
                "Kwadraatsommen type 3"
            ],
            "Unable to split by a continuous variable": [
                ""
            ],
            "Uniqueness": [
                "Uniekheid"
            ],
            "Univariate Tests": [
                "Univariate toetsen"
            ],
            "Unstandardized residuals": [
                ""
            ],
            "Upper": [
                "Bovengrens"
            ],
            "upper bound": [
                "bovengrens"
            ],
            "Value": [
                "Waarde"
            ],
            "value": [
                "waarde"
            ],
            "values": [
                "waarden"
            ],
            "Values are counts": [
                "Waarden zijn de tel"
            ],
            "Variable": [
                "Variabele"
            ],
            "Variable '{var}' contains no data": [
                "Variabele '{var}' bevat geen waarden"
            ],
            "Variable contains infinite values": [
                "Variabele bevat oneindige waarden"
            ],
            "Variable does not contain enough observations": [
                "Variabele heeft niet genoeg waarnemingen"
            ],
            "Variable is not numeric": [
                "Variabele is niet numeriek"
            ],
            "Variables": [
                "Variabelen"
            ],
            "Variables across columns": [
                "Variabelen over kolommen"
            ],
            "Variables across rows": [
                "Variabelen over rijen"
            ],
            "Variables must have at least two levels": [
                ""
            ],
            "Variance": [
                "Variantie"
            ],
            "Variances": [
                "Varianties"
            ],
            "variation from the control variables is only removed from the variables in the columns": [
                ""
            ],
            "Varimax": [
                "Varimax"
            ],
            "varimax": [
                "varimax"
            ],
            "VIF": [
                "VIF"
            ],
            "Violin": [
                "Violin"
            ],
            "W": [
                "W"
            ],
            "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)": [
                ""
            ],
            "Weight Variable": [
                "Weegvariabele"
            ],
            "Weighted by '{varName}'": [
                "Gewicht bepaald door '{varName}'"
            ],
            "Weights": [
                "Weegfactoren"
            ],
            "Weights (optional)": [
                "Gewichten (optioneel)"
            ],
            "Weights contains negative values. Negative weights are not permitted.": [
                ""
            ],
            "Welch's": [
                "Welch's"
            ],
            "Welch's t": [
                "t van Welch"
            ],
            "Wilcoxon rank": [
                "Wilcoxon-rang"
            ],
            "Wilcoxon signed rank test": [
                "Rangtekentoets van Wilcoxon"
            ],
            "Wilcoxon W": [
                "W van Wilcoxon"
            ],
            "Wilks' Lambda": [
                "Labda van Wilks"
            ],
            "within column": [
                "binnen kolom"
            ],
            "within rows": [
                "binnen rijen"
            ],
            "Within Subjects Effects": [
                "Effecten binnen elementen"
            ],
            "X-Axis": [
                "X-as"
            ],
            "X-axis": [
                "X-as"
            ],
            "Y-Axis": [
                "Y-as"
            ],
            "Y-axis": [
                "Y-as"
            ],
            "Z": [
                "Z"
            ],
            "z test difference in 2 proportions": [
                ""
            ],
            "z test for difference in 2 proportions": [
                ""
            ],
            "z test only available for 2x2 tables": [
                ""
            ],
            "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-continuïteitscorrectie"
            ],
            "χ² Goodness of Fit": [
                "χ²-goodness-of-fit"
            ],
            "χ² Goodness of fit": [
                "χ²-goodness-of-fit"
            ],
            "χ² test": [
                "χ²-toets"
            ],
            "χ² test of association": [
                "χ²-associatietoets"
            ],
            "χ² Tests": [
                "χ²-toetsen"
            ],
            "ω²": [
                "ω²"
            ],
            "specific factor\u0004Factor": [
                "Factor"
            ]
        }
    },
    "code": "nl"
}