{
    "domain": "messages",
    "locale_data": {
        "messages": {
            "1": [
                "1"
            ],
            "": {
                "domain": "messages",
                "plural_forms": "nplurals=1; plural=0;",
                "lang": "zh-tw"
            },
            "'{col}' contains infinite values": [
                "'{col}' 包含無限大數值"
            ],
            "'{col}' contains missing values": [
                "'{col}' 包含缺漏值"
            ],
            "'{col}' contains only missing values": [
                "'{col}' 皆為缺漏值"
            ],
            "'{col}' contains only one unique value": [
                "'{col}' 僅包含一種資料值"
            ],
            "'{method}' extraction method was used in combination with a '{rotation}' rotation": [
                "使用 '{method}' 萃取方式與 '{rotation}' 旋轉法"
            ],
            "'{rotation}' rotation was used": [
                "使用'{rotation}'旋轉法"
            ],
            "'{var}' contains negative values. Negative weights are not permitted.": [
                "'{var}' 包含負數值。無法接受負的加權值。"
            ],
            "{} - Kendall's Tau B": [
                "{} - Kendall's Tau b"
            ],
            "{} - Pearson's r": [
                "{} - Pearson's r 相關係數"
            ],
            "{} - Spearman's rho": [
                "{} - Spearman rho"
            ],
            "{ciWidth}% CI Lower": [
                "{ciWidth}% 信賴區間下界(CI Lower)"
            ],
            "{ciWidth}% CI mean {title}": [
                "{ciWidth}% 信賴區間(CI) mean {title}"
            ],
            "{ciWidth}% CI Upper": [
                "{ciWidth}% 信賴區間上界(CI Upper)"
            ],
            "{ciWidth}% Confidence Interval": [
                "{ciWidth}% 信賴區間(Confidence Interval)"
            ],
            "{ciWidth}% Confidence Intervals": [
                "{ciWidth}% 信賴區間(Confidence Intervals)"
            ],
            "{item1} and {item2}": [
                "{item1} 與 {item2}"
            ],
            "{list}, {nextItem}": [
                "{list}, {nextItem}"
            ],
            "{list}, and {lastItem}": [
                "{list}, 及 {lastItem}"
            ],
            "{n} pair(s) of values were tied": [
                "{n} 對數值為同值(tied)"
            ],
            "{type} score based on the variables {vars}": [
                "{vars} 資料變數的 {type} 分數"
            ],
            "{varName} (reversed)": [
                "{varName} (反向)"
            ],
            "{varType} of binomial logistic regression model{modelNo}": [
                "二元變項邏輯斯迴歸(binomial logistic regression)模型{modelNo}的{varType}"
            ],
            "{varType} of linear regression model{modelNo}": [
                "線性迴歸(linear regression)模型{modelNo}的{varType}"
            ],
            "* p < .05, ** p < .01, *** p < .001, one-tailed": [
                "* p < .05，** p < .01，*** p < .001，單尾檢定"
            ],
            "%": [
                "%"
            ],
            "% Correct": [
                "正確 %"
            ],
            "% of Total": [
                "全部的 %"
            ],
            "% of total": [
                "全部的 %"
            ],
            "% of Variance": [
                "變異數 %"
            ],
            "% within column": [
                "資料欄內 %"
            ],
            "% within row": [
                "資料列內 %"
            ],
            "`ANCOVA - ${dep}`": [
                "`ANCOVA - ${dep}`"
            ],
            "`ANOVA - ${dep}`": [
                "`ANOVA - ${dep}`"
            ],
            "`Model Coefficients - ${ dep }`": [
                "`模型係數 - ${ dep }`"
            ],
            "`Model Coefficients - ${dep}`": [
                "`模型係數 - ${dep}`"
            ],
            "`Proportions - ${var}`": [
                "`比例 - ${var}`"
            ],
            "±%": [
                "±%"
            ],
            "< Test value": [
                "< 檢定值"
            ],
            "≠ Test value": [
                "≠ 檢定值"
            ],
            "> Test value": [
                "> 檢定值"
            ],
            "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD": [
                "⁻ 平均 - 1SD, <sup>μ</sup> 平均, ⁺ 平均 + 1SD"
            ],
            "1 - Specificity": [
                "1 - 特異度(Specificity)"
            ],
            "2 Outcomes": [
                "二元變項"
            ],
            "25,50,75": [
                "25,50,75"
            ],
            "a (semi)partial correlation matrix table": [
                "(半)淨相關矩陣表"
            ],
            "a correlation matrix plot": [
                "相關矩陣圖"
            ],
            "a correlation matrix table": [
                "相關矩陣表"
            ],
            "a descriptives plot": [
                "描述統計圖"
            ],
            "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": [
                "還不錯的相關資料集"
            ],
            "a parameter": [
                "參數"
            ],
            "a post-hoc table": [
                "事後檢定表"
            ],
            "a proportions table": [
                "比例表"
            ],
            "a q-q plot": [
                "分位圖(Q-Q plot)"
            ],
            "A repeated measures ANOVA data set": [
                "重複測量ANOVA資料集"
            ],
            "a summary of the groups": [
                ""
            ],
            "a table containing estimated marginal means": [
                ""
            ],
            "a table containing factor covariances estimates": [
                ""
            ],
            "a table containing factor intercept estimates": [
                ""
            ],
            "a table containing fit measures": [
                ""
            ],
            "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": [
                ""
            ],
            "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": [
                "常態性檢定結果表"
            ],
            "a table containing the normality tests": [
                "常態性檢定表"
            ],
            "a table containing the results from the Box-Tidwell test": [
                ""
            ],
            "a table containing the t-test results": [
                ""
            ],
            "a table of ANCOVA results": [
                ""
            ],
            "a table of ANOVA results": [
                ""
            ],
            "a table of comparative measures": [
                ""
            ],
            "a table of homogeneity of variances tests": [
                ""
            ],
            "a table of homogeneity tests": [
                ""
            ],
            "a table of likelihood ratio tests": [
                ""
            ],
            "a table of model coefficient thresholds": [
                ""
            ],
            "a table of model coefficients": [
                ""
            ],
            "a table of normality tests": [
                "常態性檢定表"
            ],
            "a table of post-hoc residuals": [
                ""
            ],
            "a table of predicted classifications": [
                ""
            ],
            "a table of predictive measures": [
                ""
            ],
            "a table of proportions": [
                ""
            ],
            "a table of test results": [
                ""
            ],
            "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": [
                ""
            ],
            "a table of the proportions and test results": [
                ""
            ],
            "a table of the test results": [
                ""
            ],
            "a table of χ² test results": [
                ""
            ],
            "Accuracy": [
                "準確率(Accuracy)"
            ],
            "Add New Block": [
                "增加新區集(block)"
            ],
            "Add New Factor": [
                "新增因素"
            ],
            "Add New Term": [
                "新增項目"
            ],
            "Additional Options": [
                "其他選項"
            ],
            "Additional Output": [
                ""
            ],
            "Additional Statistics": [
                "其他統計值"
            ],
            "Adjusted R²": [
                "調整後(Adjusted) R²"
            ],
            "AIC": [
                "AIC"
            ],
            "All observations are tied": [
                "所有觀察值皆相同(tied)"
            ],
            "Alternative hypothesis": [
                "對立假說"
            ],
            "an array of contrasts tables": [
                ""
            ],
            "an array of descriptive plots": [
                ""
            ],
            "an array of extreme values tables": [
                ""
            ],
            "an array of frequency tables": [
                ""
            ],
            "an array of groups of plots": [
                ""
            ],
            "an array of model specific results": [
                ""
            ],
            "an array of pairwise comparison tables": [
                ""
            ],
            "an array of post-hoc tables": [
                ""
            ],
            "an array of Q-Q plots": [
                "分位圖(Q-Q plots)陣列"
            ],
            "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": [
                ""
            ],
            "Analyses bundled with jamovi": [
                "Jamovi內建分析"
            ],
            "ANCOVA": [
                "ANCOVA"
            ],
            "Anderson & Rubin": [
                "Anderson & Rubin"
            ],
            "Anderson's Iris Data": [
                "Anderson Iris 資料"
            ],
            "ANOVA": [
                "ANOVA"
            ],
            "ANOVA test": [
                "ANOVA檢定"
            ],
            "As there are no between subjects factors specified this assumption is always met.": [
                "因未指定組間因子，本假設永遠成立。"
            ],
            "Assume equal (Fisher's)": [
                "假設相同 (Fisher's)"
            ],
            "Assumption Checks": [
                "前提假設檢驗"
            ],
            "Assumptions": [
                "假設"
            ],
            "At least one variable must have two levels": [
                "至少應有一個包含兩種水準(level)的資料變數"
            ],
            "AUC": [
                "AUC"
            ],
            "Autocorrelation": [
                "序列相關(Autocorrelation)"
            ],
            "Autocorrelation test": [
                "序列相關(Autocorrelation)檢定"
            ],
            "Available for 2x2 tables only": [
                "僅適用 2x2 表格"
            ],
            "b parameter": [
                "b parameter"
            ],
            "Bar Plot": [
                "直條圖"
            ],
            "Bar plot": [
                "直條圖"
            ],
            "Bar Plots": [
                "直條圖"
            ],
            "Bar Type": [
                "直條種類"
            ],
            "Bartlett": [
                "Bartlett"
            ],
            "Bartlett's Test of Sphericity": [
                "Bartlett球形(Sphericity)檢定"
            ],
            "Bartlett's test of sphericity": [
                "Bartlett球形(Sphericity)檢定"
            ],
            "Based on eigenvalue": [
                "根據特徵值(eigenvalue)"
            ],
            "Based on parallel analysis": [
                "根據平行分析(parallel analysis)"
            ],
            "Bayes factor": [
                "貝氏因子"
            ],
            "Bayes factor₁₀": [
                "貝氏因子₁₀"
            ],
            "Bayesian Statistics": [
                "貝氏統計"
            ],
            "beta 'a' parameter": [
                ""
            ],
            "beta 'b' parameter": [
                ""
            ],
            "Between Subject Factors": [
                "受試者間因子"
            ],
            "Between Subjects Components": [
                "受試者間變項"
            ],
            "Between Subjects Effects": [
                "受試者間效果"
            ],
            "BIC": [
                "BIC"
            ],
            "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)": [
                ""
            ],
            "Binomial": [
                "二項式"
            ],
            "Binomial Logistic Regression": [
                "二元羅吉斯迴歸"
            ],
            "Binomial Test": [
                "二項式檢定"
            ],
            "Binomial test": [
                "二項式檢定"
            ],
            "Block {0}": [
                "區集 {0}"
            ],
            "Block 1": [
                "區集 1"
            ],
            "Blocks": [
                "區集"
            ],
            "Bonferroni": [
                "Bonferroni"
            ],
            "Box plot": [
                "箱形圖"
            ],
            "Box Plots": [
                "箱型圖(Box plot)"
            ],
            "Box-Tidwell test": [
                "Box-Tidwell 檢定"
            ],
            "Box-Tidwell Test for Linearity of the Logit": [
                ""
            ],
            "Box's Homogeneity of Covariance Matrices Test": [
                ""
            ],
            "Box's M test": [
                ""
            ],
            "Box's M test for homogeneity of covariance matrices": [
                ""
            ],
            "Bugs (Ryan, Wilde & Crist, 2013)": [
                ""
            ],
            "Cells": [
                "儲存格"
            ],
            "Central Tendency": [
                "集中趨勢"
            ],
            "CFI": [
                "CFI"
            ],
            "Chi-Square Quantiles": [
                "卡方分位數(Chi-Square Quantiles)"
            ],
            "CI Lower": [
                "信賴區間下界"
            ],
            "CI Upper": [
                "信賴區間上界"
            ],
            "Classification Table": [
                "分類表"
            ],
            "Classification table": [
                "分類表"
            ],
            "Classification Table – {dep}": [
                "分類表 – {dep}"
            ],
            "Cohen's d": [
                "Cohen's d"
            ],
            "Collinearity Statistics": [
                "共線性指標"
            ],
            "Collinearity statistics": [
                "共線性指標"
            ],
            "Column": [
                "直欄"
            ],
            "Column variable '{var}' contains fewer than 2 levels": [
                "欄位'{var}'的資料少於2個水準(level)"
            ],
            "Columns": [
                "直欄"
            ],
            "columns": [
                "直欄"
            ],
            "Columns compared": [
                "比較欄位"
            ],
            "Comparative Measures": [
                "比較方式"
            ],
            "Comparative Measures (2x2 only)": [
                "比較方式 (僅限2x2)"
            ],
            "Compare": [
                "比較"
            ],
            "Comparison": [
                "比較"
            ],
            "Comparisons are based on estimated marginal means": [
                "基於估計邊際平均(estimated marginal mean)的比較"
            ],
            "Component": [
                "主成分(component)"
            ],
            "Component correlations": [
                "主成分間相關(Component correlations)"
            ],
            "Component Loadings": [
                "主成分負荷量"
            ],
            "Component scores": [
                "主成分分數"
            ],
            "Component Statistics": [
                "主成分統計數據"
            ],
            "Component summary": [
                "主成分摘要"
            ],
            "component(s)": [
                "主成分"
            ],
            "Components": [
                "主成分"
            ],
            "components": [
                "主成分"
            ],
            "Confidence Interval": [
                "信賴區間"
            ],
            "Confidence interval": [
                "信賴區間"
            ],
            "Confidence interval for Mean": [
                "平均數的信賴區間"
            ],
            "Confidence interval width": [
                "信賴區間寬度"
            ],
            "Confidence Intervals": [
                "信賴區間"
            ],
            "Confidence intervals": [
                "信賴區間"
            ],
            "Confidence level": [
                "信心水準"
            ],
            "Confirmatory Factor Analysis": [
                "驗證性因素分析"
            ],
            "Constraints": [
                "參數估計限制性"
            ],
            "Contingency coefficient": [
                "列聯係數(Contingency coefficient)"
            ],
            "Contingency Tables": [
                "列聯表"
            ],
            "Contrasts": [
                "對比"
            ],
            "Contrasts - $key": [
                "對比 - $key"
            ],
            "Control Variables": [
                "控制變項"
            ],
            "Control variables": [
                "控制變項"
            ],
            "controlling for {items}": [
                "控制 {items} 變項"
            ],
            "Cook's Distance": [
                "庫克距離(Cook's Distance)"
            ],
            "Cook's distance": [
                "庫克距離(Cook's Distance)"
            ],
            "Correction": [
                "校正"
            ],
            "Corrections": [
                "校正"
            ],
            "Correlated": [
                "有相關"
            ],
            "Correlated negatively": [
                "有負相關"
            ],
            "Correlated positively": [
                "有正相關"
            ],
            "Correlation": [
                "相關"
            ],
            "Correlation Coefficients": [
                "相關係數"
            ],
            "Correlation Heatmap": [
                "相關熱圖"
            ],
            "Correlation heatmap": [
                "相關熱圖"
            ],
            "Correlation matrices are a way to examine linear relationships between\ntwo or more continuous variables.": [
                "相關矩陣是用來檢視兩個或更多變數間的線性關係的方式之一。"
            ],
            "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.": [
                "相關矩陣是拿來檢驗兩個或多個連續變項間線性關係的方法之一。\n\n對於每個變項組合所計算的皮爾森相關係數(Pearson's r)，代表兩變項\n之間關連性的高低與方向。係數大於零代表之間的關聯是正相關(其中\n一個變項若越高，可以預測另一個變項的值也更大)。係數為負代表\n兩變項間的關聯為負相關(其中一個變項越高，另一個變項可能越低，\n反之亦然)。係數為零代表兩變項間無相關存在(不論一個變項高或低，\n都無法預測另一個變項的高低)。\n\n更嚴謹的來說，我們可以進行假設檢定來驗證相關係數是否為零的\n虛無假設，並計算出機率大小(p值)。如果p值很低，代表相關係數\n可能不是零，兩變項間可能有線性(或更複雜的)關係存在。"
            ],
            "Correlation Matrix": [
                "相關矩陣"
            ],
            "Correlation matrix": [
                "相關矩陣"
            ],
            "Correlation Type": [
                "相關種類"
            ],
            "Correlation type": [
                "相關種類"
            ],
            "Count": [
                "計數"
            ],
            "Counts": [
                "次數統計"
            ],
            "Counts (optional)": [
                "次數統計 (選擇性)"
            ],
            "Counts may not be infinite": [
                "計數可能不是無限大值"
            ],
            "Counts may not be negative": [
                "計數可能不是負數"
            ],
            "Counts must be non-negative and finite": [
                "計數必須是非負數或是非無限大"
            ],
            "Covariates": [
                "共變項"
            ],
            "Cox & Snell's R²": [
                "Cox & Snell's R²"
            ],
            "Cramer's V": [
                "Cramér's V"
            ],
            "Credible Interval": [
                "置信區間"
            ],
            "Credible intervals": [
                "置信區間"
            ],
            "Cronbach's α": [
                "Cronbach's α"
            ],
            "Cronbach's α (if item is dropped)": [
                "Cronbach's α (刪題後)"
            ],
            "cubic": [
                "三次方"
            ],
            "Cumulative %": [
                "累計 %"
            ],
            "Cut point values": [
                "切截分數"
            ],
            "Cut points for": [
                "切截為"
            ],
            "Cut-Off": [
                "分類分割"
            ],
            "Cut-Off Plot": [
                "分類圖"
            ],
            "Cut-off plot": [
                "分類圖"
            ],
            "Cut-off value": [
                "分類分割值"
            ],
            "Data": [
                "包含資料點"
            ],
            "Data Reduction": [
                "資料縮減"
            ],
            "Data set is currently unweighted": [
                ""
            ],
            "Data Summary": [
                "資料摘要"
            ],
            "Densities for variables": [
                "變項機率分布"
            ],
            "Density": [
                "機率分布"
            ],
            "Dependent": [
                "依變項"
            ],
            "Dependent Variable": [
                "依變項"
            ],
            "Dependent variable '{dep}' contains infinite values": [
                "'{dep}'依變項中包含無限大數值"
            ],
            "Dependent variable '{dep}' contains no data (after removing rows with missing values)": [
                "'{dep}'依變項未包含資料(移除缺漏值之後)"
            ],
            "Dependent variable '{dep}' contains only one unique value (after removing rows with missing values)": [
                "'{dep}'依變項僅包含一種數值(移除缺漏值後)"
            ],
            "Dependent variable '{dep}' must be continuous": [
                "'{dep}'依變項必須為連續變項"
            ],
            "Dependent Variable Label": [
                "依變項標籤"
            ],
            "Dependent Variables": [
                "依變項"
            ],
            "Dependent variables are very highly correlated": [
                "依變項間相關非常高"
            ],
            "deprecated": [
                "已廢止"
            ],
            "Descriptive Plot": [
                "描述統計圖"
            ],
            "Descriptive plot": [
                "描述統計圖"
            ],
            "Descriptives": [
                "描述統計"
            ],
            "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.": [
                "描述統計分析是一種摘要和視覺化的統計方法，可用來探索資料的型態和分布。最佳的分析方式是在進行正式的統計檢定前，先用描述統計來探索資料。"
            ],
            "descriptives plot": [
                "描述統計圖"
            ],
            "Descriptives Plots": [
                "描述統計圖"
            ],
            "Descriptives plots": [
                "描述統計圖"
            ],
            "Descriptives Table": [
                "描述統計表"
            ],
            "Descriptives table": [
                "描述統計表"
            ],
            "Deviance": [
                "離差(Deviance)"
            ],
            "Deviance residuals": [
                ""
            ],
            "Deviance residuals (Poisson GLM)": [
                ""
            ],
            "Deviance residuals are adjusted residuals from a Poisson GLM.": [
                ""
            ],
            "Deviation": [
                "Deviation"
            ],
            "df": [
                "df"
            ],
            "df1": [
                "df1"
            ],
            "df2": [
                "df2"
            ],
            "Difference": [
                "Difference"
            ],
            "Difference in 2 proportions": [
                "兩比例間的差異"
            ],
            "Difference in proportions": [
                "比例間差異"
            ],
            "Dispersion": [
                "離散趨勢"
            ],
            "Distribution": [
                "分布"
            ],
            "Does not support weighted data yet.": [
                ""
            ],
            "Don't assume equal (Welch's)": [
                "假設不相同 (Welch's)"
            ],
            "drag variable here": [
                "拖曳變數至此處"
            ],
            "drag variables here": [
                "拖曳變數至此處"
            ],
            "DSCF pairwise comparisons": [
                "DSCF 成對比較"
            ],
            "Dunn's pairwise comparisons": [
                ""
            ],
            "Durbin–Watson Test for Autocorrelation": [
                "Durbin–Watson 殘差自我相關檢定"
            ],
            "DW Statistic": [
                "DW統計數據"
            ],
            "Dwass-Steel-Critchlow-Fligner pairwise comparisons": [
                "Dwass-Steel-Critchlow-Fligner 成對比較"
            ],
            "Effect Size": [
                "效果量"
            ],
            "Effect size": [
                "效果量"
            ],
            "Eigenvalue": [
                "特徵值"
            ],
            "Eigenvalues": [
                "特徵值(Eigenvalues)"
            ],
            "Eigenvalues greater than": [
                "特徵值大於"
            ],
            "Empty cells in between subject design: at least one combination of between subject factor levels has 0 observations": [
                "受試者間設計包含空的組合(cell)：至少一個以上的受試者間變數組合包含0個觀察值"
            ],
            "Equal cell weights": [
                "每組的權重相同"
            ],
            "equal groups": [
                "個相同的群組"
            ],
            "error %": [
                "error %"
            ],
            "Error bars": [
                "誤差線"
            ],
            "Estimate": [
                "估計值"
            ],
            "Estimate (Log Odds Ratio)": [
                "估計值 (對數勝算比)"
            ],
            "Estimate (Log Rate Ratio)": [
                "估計值 (對數比例比)"
            ],
            "Estimated Marginal Means": [
                "邊際平均數估計值"
            ],
            "Estimated Marginal Means - {term}": [
                "邊際平均數估計值 - {term}"
            ],
            "Estimates": [
                "估計值"
            ],
            "Estimates represent the log odds of …": [
                "係數為下列的對數勝算(log odds)：…"
            ],
            "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\"": [
                "係數為下列的對數勝算(log odds)： \"{dep} = {level1}\" vs. \"{dep} = {level2}\""
            ],
            "Estimation method": [
                "參數估計法"
            ],
            "Exclude cases analysis by analysis": [
                "依個別分析排除"
            ],
            "Exclude cases listwise": [
                "在所有分析中排除"
            ],
            "Excluded": [
                "已排除"
            ],
            "Expected": [
                "預期的"
            ],
            "Expected counts": [
                "計數期望值"
            ],
            "Expected Proportions": [
                "比例期望值"
            ],
            "Exploration": [
                "探索"
            ],
            "Exploratory Factor Analysis": [
                "探索性因素分析(EFA)"
            ],
            "Extraction": [
                "提取"
            ],
            "Extreme values": [
                "極端值"
            ],
            "Extreme Values": [
                "極端值"
            ],
            "Extreme values of $key": [
                "$key 的極端值"
            ],
            "F": [
                "F"
            ],
            "F test": [
                "F檢定"
            ],
            "F-statistic could not be calculated": [
                "無法計算F統計值"
            ],
            "Factor": [
                "因素"
            ],
            "Factor '{factor}' has less than two levels. Factors must have at least two levels": [
                "'{factor}' 因子少於兩個水準。因子必須至少包含兩個水準"
            ],
            "Factor '{factor}' needs to have at least 2 levels": [
                "'{factor}'因子至少需要兩個水準(level)"
            ],
            "Factor '{factorName}' contains no data (after removing rows with missing values)": [
                "'{factorName}'因子並未包含任何資料(在移除缺失值之後)"
            ],
            "Factor '{factorName}' contains only a single level (after removing rows with missing values)": [
                "'{factorName}'因子只包含單一水準(移除含缺失值的資料列後)"
            ],
            "Factor '{factorName}' contains unused levels (after removing rows with missing values)": [
                "'{factorName}'因子包含未使用的水準(在移除含缺失值的資料列後)"
            ],
            "Factor {0}": [
                "因素 {0}"
            ],
            "Factor 1": [
                "因素 1"
            ],
            "Factor correlations": [
                "因素間相關"
            ],
            "Factor Covariances": [
                "因素間共變數"
            ],
            "Factor covariances": [
                "因素間共變數"
            ],
            "Factor Estimates": [
                "因素係數"
            ],
            "Factor Intercepts": [
                "因素截距"
            ],
            "Factor intercepts": [
                "因素截距"
            ],
            "Factor Loadings": [
                "因素負荷量"
            ],
            "Factor Loadings – Modification Indices": [
                "因素負荷量 - 修正指標(Modification Indices)"
            ],
            "Factor scores": [
                "因素計分"
            ],
            "Factor Statistics": [
                "因素統計結果"
            ],
            "Factor summary": [
                "因素摘要"
            ],
            "Factor variances = 1": [
                "因素變異數 = 1"
            ],
            "factor(s)": [
                "因素"
            ],
            "Factors": [
                "因子(因素)"
            ],
            "factors": [
                "因子"
            ],
            "Fisher's": [
                "Fisher's"
            ],
            "Fisher's exact test": [
                "費雪正確機率檢定(Fisher's exact test)"
            ],
            "Fit Measures": [
                "適配度指標"
            ],
            "Fitted": [
                "預測值"
            ],
            "Fixed Factors": [
                ""
            ],
            "Fixed number": [
                ""
            ],
            "fixed parameter": [
                ""
            ],
            "Flag significant comparisons": [
                ""
            ],
            "Flag significant correlations": [
                ""
            ],
            "flag significant correlations (p < .05) with symbols.": [
                ""
            ],
            "flag significant post-hoc comparisons.": [
                ""
            ],
            "Frequencies": [
                "頻率"
            ],
            "Frequencies of $key": [
                ""
            ],
            "Frequency tables": [
                "次數表"
            ],
            "Friedman": [
                "Friedman"
            ],
            "Full information maximum likelihood": [
                ""
            ],
            "Games-Howell (unequal variances)": [
                "Games-Howell (變異數不同質)"
            ],
            "Games-Howell Post-Hoc Test – {dep}": [
                "Games-Howell 事後檢定 – {dep}"
            ],
            "Gamma": [
                "Gamma"
            ],
            "General Options": [
                "一般選項"
            ],
            "Generalised η²": [
                "Generalised η²"
            ],
            "Grand mean (simple coding)": [
                ""
            ],
            "Greenhouse-Geisser": [
                "Greenhouse-Geisser"
            ],
            "Greenhouse-Geisser ε": [
                "Greenhouse-Geisser ε"
            ],
            "Group": [
                "群組"
            ],
            "Group 1": [
                "組別 1"
            ],
            "Group 1 < Group 2": [
                "組別 1 < 組別 2"
            ],
            "Group 1 ≠ Group 2": [
                "組別 1 ≠ 組別 2"
            ],
            "Group 1 > Group 2": [
                "組別 1 > 組別 2"
            ],
            "Group 2": [
                "組別 2"
            ],
            "Group Descriptives": [
                "組別描述統計"
            ],
            "Group Summary": [
                "分組摘要"
            ],
            "Group summary": [
                "分組摘要"
            ],
            "Grouping Variable": [
                "組別變項"
            ],
            "Grouping variable '{a}' has less than 2 levels after missing values are excluded": [
                "組別變項 '{a}' 在排除缺失值後少於兩個水準"
            ],
            "Grouping variable '{a}' must have exactly 2 levels": [
                "組別變項 '{a}' 必須剛好包含兩個水準"
            ],
            "Grouping variable '{a}' must not also be a dependent variable": [
                "組別變項 '{a}' 不能同時是依變項"
            ],
            "Hₐ is negative correlation": [
                ""
            ],
            "Hₐ is positive correlation": [
                ""
            ],
            "Hₐ is proportion {direction} {testValue}": [
                ""
            ],
            "Haldane-Anscombe correction applied": [
                ""
            ],
            "Harman": [
                "Harman"
            ],
            "Helmert": [
                "Helmert"
            ],
            "hidden": [
                "隱藏"
            ],
            "Hide loadings below": [
                ""
            ],
            "Highlight values above": [
                ""
            ],
            "Histogram": [
                "直方圖"
            ],
            "Histograms": [
                "直方圖"
            ],
            "Holm": [
                "Holm"
            ],
            "Homogeneity of Variances Test (Levene's)": [
                "變異數同質檢定 (Levene's)"
            ],
            "Homogeneity test": [
                "同質性檢定"
            ],
            "Hotelling's Trace": [
                "Hotelling's Trace"
            ],
            "Huynh-Feldt": [
                "Huynh-Feldt"
            ],
            "Huynh-Feldt ε": [
                "Huynh-Feldt ε"
            ],
            "Hypothesis": [
                "檢定假說"
            ],
            "If item dropped": [
                "如刪除項目"
            ],
            "include a summary of the groups": [
                ""
            ],
            "Independent Samples": [
                "獨立樣本"
            ],
            "Independent Samples T-Test": [
                "獨立樣本T檢定"
            ],
            "Indicator": [
                ""
            ],
            "Initial Eigenvalues": [
                "初始特徵值"
            ],
            "Initial eigenvalues": [
                "初始特徵值"
            ],
            "Inter-Component Correlations": [
                "主成分間相關"
            ],
            "Inter-Factor Correlations": [
                "因素間相關"
            ],
            "Intercept": [
                "截距"
            ],
            "Interval": [
                "間隔"
            ],
            "IQR": [
                "四分位差(IQR)"
            ],
            "It appears that your model has a \\": [
                ""
            ],
            "Item '{item}' consists of one level only": [
                ""
            ],
            "Item '{item}' contains infinite values": [
                ""
            ],
            "Item '{item}' contains only missing values": [
                ""
            ],
            "Item '{item}' has no variance": [
                ""
            ],
            "Item '{item}' needs to be numeric": [
                ""
            ],
            "item {item} correlates negatively with the total scale and probably should be reversed": [
                ""
            ],
            "Item Reliability Statistics": [
                "項目信度統計"
            ],
            "Item Statistics": [
                "項目統計"
            ],
            "Item-rest correlation": [
                ""
            ],
            "Items": [
                "項目"
            ],
            "items {items} correlate negatively with the total scale and probably should be reversed": [
                ""
            ],
            "Jittered": [
                "抖動顯示(Jittered)"
            ],
            "Kendall's Tau B": [
                "Kendall's Tau B"
            ],
            "Kendall's Tau-B": [
                "Kendall's Tau-B"
            ],
            "Kendall's Tau-b": [
                "Kendall's Tau-b"
            ],
            "Kendall's tau-b": [
                "Kendall's tau-b"
            ],
            "KMO Measure of Sampling Adequacy": [
                ""
            ],
            "KMO measure of sampling adequacy": [
                ""
            ],
            "Kruskal-Wallis": [
                "Kruskal-Wallis"
            ],
            "Kurtosis": [
                "峰度"
            ],
            "Label outliers": [
                "標記離群值"
            ],
            "Layers": [
                "分層"
            ],
            "Level": [
                "水準"
            ],
            "Level 1": [
                "水準 1"
            ],
            "Level 2": [
                "水準 2"
            ],
            "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances": [
                ""
            ],
            "Likelihood": [
                ""
            ],
            "Likelihood ratio": [
                ""
            ],
            "Likelihood ratio tests": [
                ""
            ],
            "linear": [
                ""
            ],
            "Linear Regression": [
                "線性迴歸"
            ],
            "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 exact": [
                ""
            ],
            "Log-Linear Regression": [
                ""
            ],
            "Logistic Regression": [
                ""
            ],
            "Lower": [
                ""
            ],
            "lower bound": [
                ""
            ],
            "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": [
                ""
            ],
            "Mann-Whitney U": [
                "Mann-Whitney U"
            ],
            "Mantel-Haenszel": [
                ""
            ],
            "Mantel-Haenszel Test for Trend": [
                ""
            ],
            "Marginal Mean": [
                ""
            ],
            "Marginal Means": [
                ""
            ],
            "Marginal means plots": [
                ""
            ],
            "Marginal means tables": [
                ""
            ],
            "Mauchly's W": [
                ""
            ],
            "Max": [
                "最大"
            ],
            "Maximum": [
                "最大值"
            ],
            "Maximum likelihood": [
                "最大概似法(ML)"
            ],
            "McDonald's ω": [
                "McDonald's ω"
            ],
            "McDonald's ω (if item is dropped)": [
                "McDonald's ω (項目刪除)"
            ],
            "McFadden's R²": [
                "McDonald's ω (if item is dropped)"
            ],
            "McNemar requires a 2x2 table": [
                ""
            ],
            "McNemar Test": [
                ""
            ],
            "McNemar test": [
                ""
            ],
            "Mean": [
                "平均值"
            ],
            "Mean ({ciWidth}% CI)": [
                "平均數 ({ciWidth}% CI)"
            ],
            "Mean Difference": [
                "平均數差異"
            ],
            "Mean difference": [
                "平均數差異"
            ],
            "Mean Dispersion": [
                "平均數分散程度"
            ],
            "Mean score": [
                ""
            ],
            "Mean Square": [
                ""
            ],
            "Means": [
                "平均值"
            ],
            "Measure": [
                ""
            ],
            "Measure 1 - Measure 2": [
                "測量值 1 - 測量值 2"
            ],
            "Measure 1 < Measure 2": [
                "測量值 1 < 測量值 2"
            ],
            "Measure 1 ≠ Measure 2": [
                "測量值 1 ≠ 測量值 2"
            ],
            "Measure 1 > Measure 2": [
                "測量值 1 > 測量值 2"
            ],
            "Measures": [
                ""
            ],
            "Median": [
                "中位數"
            ],
            "Medians": [
                "中位數"
            ],
            "Method": [
                "方法"
            ],
            "Min": [
                "最小"
            ],
            "Minimum": [
                "最小值"
            ],
            "Minimum residual": [
                ""
            ],
            "Minimum residuals": [
                ""
            ],
            "Minimum value": [
                "最小值"
            ],
            "Missing": [
                "缺失資料數"
            ],
            "Missing Values": [
                "缺失值"
            ],
            "Missing values": [
                "缺失值"
            ],
            "Missing values exclusion method": [
                ""
            ],
            "Missing Values Method": [
                ""
            ],
            "Mode": [
                "眾數"
            ],
            "Model": [
                "模型"
            ],
            "Model Builder": [
                ""
            ],
            "Model Coefficients": [
                ""
            ],
            "Model Comparisons": [
                ""
            ],
            "Model Fit": [
                ""
            ],
            "Model fit issue detected!": [
                ""
            ],
            "Model Fit Measures": [
                ""
            ],
            "Model fit measures": [
                ""
            ],
            "Model Specific Results": [
                ""
            ],
            "Model Terms": [
                ""
            ],
            "Model Test": [
                ""
            ],
            "Model Thresholds": [
                ""
            ],
            "Model thresholds": [
                ""
            ],
            "Models estimated using sample size of N={n}": [
                ""
            ],
            "Modification Indices": [
                ""
            ],
            "Modification indices": [
                ""
            ],
            "Monte Carlo simulation": [
                ""
            ],
            "More than one mode exists, only the first is reported": [
                ""
            ],
            "Most extreme": [
                "最極端的"
            ],
            "MSA": [
                ""
            ],
            "Multinomial": [
                ""
            ],
            "Multinomial Logistic Regression": [
                ""
            ],
            "Multivariate Analysis of (Co)Variance (MANCOVA) is used to explore the relationship between multiple dependent variables, and one or more categorical and/or continuous explanatory variables.": [
                ""
            ],
            "Multivariate Statistics": [
                "多變量統計"
            ],
            "Multivariate Tests": [
                "多變量檢定"
            ],
            "N": [
                "樣本數(N)"
            ],
            "N Outcomes": [
                ""
            ],
            "Nagelkerke's R²": [
                ""
            ],
            "No components have an eigenvalue greater than {value}": [
                "沒有特徵值超過{value}的主成分"
            ],
            "No correction": [
                "無相關"
            ],
            "No factors defined. Box's M test is only relevant when model contains factors.": [
                ""
            ],
            "Nominal": [
                "名義變項"
            ],
            "Non-Parametric": [
                "無母數"
            ],
            "None": [
                "無"
            ],
            "none": [
                "無"
            ],
            "Normal Scaled Items": [
                ""
            ],
            "Normality": [
                "常態性"
            ],
            "Normality test": [
                "常態性檢定"
            ],
            "Normality Test (Shapiro-Wilk)": [
                "常態性檢定(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).": [
                ""
            ],
            "Not enough degrees of freedom to estimate all the model effects": [
                ""
            ],
            "Number of Components": [
                "主成分數"
            ],
            "Number of components": [
                "主成分數"
            ],
            "Number of extreme values": [
                "極端值樣本數"
            ],
            "Number of Factors": [
                "因素數量"
            ],
            "Number of factors": [
                "因素數量"
            ],
            "Number of requested extreme values is higher than the number of rows in the data.": [
                ""
            ],
            "Oblimin": [
                "Oblimin"
            ],
            "oblimin": [
                "oblimin"
            ],
            "Observed": [
                ""
            ],
            "Observed counts": [
                ""
            ],
            "Observed scores": [
                ""
            ],
            "octic": [
                ""
            ],
            "Odds Ratio": [
                ""
            ],
            "Odds ratio": [
                ""
            ],
            "of total": [
                ""
            ],
            "Omnibus ANOVA Test": [
                ""
            ],
            "Omnibus Likelihood Ratio Tests": [
                ""
            ],
            "Omnibus Test": [
                ""
            ],
            "Omnibus Tests": [
                ""
            ],
            "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": [
                ""
            ],
            "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": [
                ""
            ],
            "One Sample T-Test": [
                "單一樣本T檢定"
            ],
            "One-Way ANOVA": [
                ""
            ],
            "One-Way ANOVA (Fisher's)": [
                ""
            ],
            "One-Way ANOVA (Non-parametric)": [
                ""
            ],
            "One-Way ANOVA (Welch's)": [
                ""
            ],
            "Options": [
                "選項"
            ],
            "Ordinal": [
                "次序變項"
            ],
            "Ordinal Logistic Regression": [
                ""
            ],
            "Ordinal Outcomes": [
                ""
            ],
            "Outliers": [
                "離群值"
            ],
            "Output": [
                "輸出"
            ],
            "Overall": [
                ""
            ],
            "Overall model": [
                ""
            ],
            "Overall Model Test": [
                ""
            ],
            "Overall model test": [
                ""
            ],
            "p": [
                "p"
            ],
            "p <": [
                ""
            ],
            "p-value": [
                "p 值"
            ],
            "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": [
                "相依樣本"
            ],
            "Paired Samples Contingency Tables": [
                ""
            ],
            "Paired Samples T-Test": [
                "相依樣本T檢定"
            ],
            "Paired Variables": [
                "配對相依變項"
            ],
            "Pairwise comparisons - $key": [
                ""
            ],
            "Pairwise Comparisons (Durbin-Conover)": [
                ""
            ],
            "Pairwise comparisons (Durbin-Conover)": [
                ""
            ],
            "Partial": [
                ""
            ],
            "Partial Correlation": [
                ""
            ],
            "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": [
                ""
            ],
            "partial η²": [
                ""
            ],
            "Participants (rows) below p-threshold": [
                ""
            ],
            "Path Diagram": [
                ""
            ],
            "Path diagram": [
                ""
            ],
            "Pearson": [
                "Pearson"
            ],
            "Pearson correlation cannot be calculated for non-numeric values": [
                ""
            ],
            "Pearson residuals": [
                ""
            ],
            "Pearson's r": [
                ""
            ],
            "Pearson{}Correlation": [
                ""
            ],
            "Percentages": [
                "百分比"
            ],
            "Percentages of total": [
                ""
            ],
            "Percentages within {var}": [
                ""
            ],
            "Percentile": [
                "百分位數"
            ],
            "Percentile Values": [
                "百分等級"
            ],
            "Percentile values": [
                "百分等級"
            ],
            "Percentiles": [
                "百分位數"
            ],
            "perform a Mann-Whitney U test.": [
                ""
            ],
            "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.": [
                ""
            ],
            "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.": [
                ""
            ],
            "perform Student's one-sample t-tests.": [
                ""
            ],
            "perform Student's paired samples t-tests.": [
                ""
            ],
            "perform Welch's ANOVAs.": [
                ""
            ],
            "perform Welch's tests.": [
                ""
            ],
            "perform Wilcoxon signed rank tests.": [
                ""
            ],
            "Phi and Cramer's V": [
                ""
            ],
            "Phi-coefficient": [
                ""
            ],
            "Pillai's Trace": [
                ""
            ],
            "Plot": [
                "統計圖"
            ],
            "plot densities along the diagonal of the correlation matrix plot.": [
                ""
            ],
            "plot the data along with the marginal means.": [
                ""
            ],
            "Plot Type": [
                "圖形種類"
            ],
            "Plots": [
                "統計圖型"
            ],
            "Plots are not yet supported for weighted descriptives.": [
                ""
            ],
            "Polynomial": [
                ""
            ],
            "Post Hoc Comparisons - {term}": [
                "事後比較 - {term}"
            ],
            "Post Hoc Test": [
                ""
            ],
            "Post Hoc Test ({title})": [
                ""
            ],
            "Post Hoc Tests": [
                "事後檢定"
            ],
            "Post Hoc Tests – $key": [
                "事後檢定 – $key"
            ],
            "Post-Hoc Model Performance": [
                ""
            ],
            "Post-Hoc Test": [
                "事後檢定"
            ],
            "Post-Hoc Tests": [
                "事後檢定"
            ],
            "Posterior": [
                ""
            ],
            "Posterior plot": [
                ""
            ],
            "Posterior Plots": [
                ""
            ],
            "Predicted": [
                ""
            ],
            "Predicted probability of … = … (vs … = …)": [
                ""
            ],
            "Predicted probability of {dep} = {level1} (vs {dep} = {level2})": [
                ""
            ],
            "Predicted values": [
                ""
            ],
            "Prediction": [
                ""
            ],
            "Predictive Measures": [
                ""
            ],
            "Predictor": [
                ""
            ],
            "Predictors": [
                ""
            ],
            "Principal axis": [
                ""
            ],
            "Principal axis factoring": [
                ""
            ],
            "Principal Component Analysis": [
                "主成分分析(PCA)"
            ],
            "Prior": [
                ""
            ],
            "Prior width": [
                ""
            ],
            "Probability": [
                ""
            ],
            "Promax": [
                "Promax"
            ],
            "promax": [
                "promax"
            ],
            "Proportion": [
                ""
            ],
            "Proportion Test (2 Outcomes)": [
                ""
            ],
            "Proportion Test (N Outcomes)": [
                ""
            ],
            "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.": [
                ""
            ],
            "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.": [
                ""
            ],
            "provide descriptives plots.": [
                ""
            ],
            "provide effect-sizes (Cohen's D).": [
                ""
            ],
            "provide effect-sizes (Cohen's d).": [
                ""
            ],
            "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.": [
                ""
            ],
            "provide plots of the estimated marginal means.": [
                ""
            ],
            "provide post-hoc tests.": [
                ""
            ],
            "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.": [
                ""
            ],
            "provide test results (t-value and degrees of freedom) for post-hoc tests.": [
                ""
            ],
            "provide the number of cases.": [
                ""
            ],
            "Pseudo R²": [
                ""
            ],
            "Q-Q": [
                "分位圖(Q-Q)"
            ],
            "Q-Q Plot": [
                "分位圖(Q-Q plots)"
            ],
            "Q-Q plot": [
                "分位圖(Q-Q plots)"
            ],
            "Q-Q Plot Assessing Multivariate Normality": [
                ""
            ],
            "Q-Q plot of multivariate normality": [
                ""
            ],
            "Q-Q plot of residuals": [
                "殘差分位圖(Q-Q plots)"
            ],
            "Q-Q Plots": [
                "分位圖(Q-Q Plots)"
            ],
            "Q-Q plots": [
                "分位圖(Q-Q plots)"
            ],
            "quadratic": [
                ""
            ],
            "quartic": [
                ""
            ],
            "Quartimax": [
                ""
            ],
            "quartimax": [
                ""
            ],
            "quintic": [
                ""
            ],
            "R": [
                "R"
            ],
            "R²": [
                "R²"
            ],
            "R²<sub>CS</sub>": [
                ""
            ],
            "R²<sub>McF</sub>": [
                ""
            ],
            "R²<sub>N</sub>": [
                ""
            ],
            "R²<sub>T</sub>": [
                ""
            ],
            "Range": [
                "全距"
            ],
            "Rank biserial correlation": [
                ""
            ],
            "Rate Ratio": [
                ""
            ],
            "Rate ratio": [
                ""
            ],
            "Ratio": [
                ""
            ],
            "Reference Level": [
                ""
            ],
            "Reference level (dummy coding)": [
                ""
            ],
            "Reference Levels": [
                ""
            ],
            "Regression": [
                "回歸"
            ],
            "Relative risk": [
                ""
            ],
            "Reliability Analysis": [
                ""
            ],
            "Repeated": [
                ""
            ],
            "Repeated Measures ANOVA": [
                ""
            ],
            "Repeated Measures ANOVA (Non-parametric)": [
                ""
            ],
            "Repeated Measures Cells": [
                ""
            ],
            "Repeated Measures Components": [
                ""
            ],
            "Repeated Measures Factors": [
                ""
            ],
            "Report significance": [
                ""
            ],
            "Represents grand mean": [
                ""
            ],
            "Represents reference level": [
                ""
            ],
            "Residual": [
                "殘差"
            ],
            "Residual Covariances": [
                ""
            ],
            "Residual covariances": [
                ""
            ],
            "Residual Covariances – Modification Indices": [
                ""
            ],
            "Residual Estimates": [
                ""
            ],
            "Residual Intercepts": [
                ""
            ],
            "Residual intercepts": [
                ""
            ],
            "Residual plots": [
                "殘差圖"
            ],
            "Residual sum of squares and/or degrees of freedom are zero, indicating a perfect fit": [
                ""
            ],
            "Residuals": [
                "殘差"
            ],
            "Residuals for Observed Correlation Matrix": [
                ""
            ],
            "Residuals from ANOVA": [
                ""
            ],
            "Residuals observed correlation matrix": [
                ""
            ],
            "Residuals Plots": [
                "殘差圖"
            ],
            "Results": [
                "分析結果"
            ],
            "reverse scaled item": [
                ""
            ],
            "Reverse Scaled Items": [
                ""
            ],
            "RM Factor 1": [
                ""
            ],
            "RMSE": [
                "RMSE"
            ],
            "RMSEA": [
                "RMSEA"
            ],
            "RMSEA 90% CI": [
                "RMSEA 90% CI"
            ],
            "ROC": [
                "ROC"
            ],
            "ROC Curve": [
                "ROC 曲線"
            ],
            "ROC curve": [
                "ROC 曲線"
            ],
            "Rotation": [
                "旋轉"
            ],
            "Row": [
                ""
            ],
            "Row number": [
                ""
            ],
            "Row variable '{var}' contains fewer than 2 levels": [
                ""
            ],
            "Rows": [
                "資料列"
            ],
            "rows": [
                ""
            ],
            "Rows compared": [
                ""
            ],
            "Roy's Largest Root": [
                ""
            ],
            "Sample Size": [
                "樣本數"
            ],
            "Save": [
                "儲存"
            ],
            "scale": [
                ""
            ],
            "Scale Analysis": [
                ""
            ],
            "Scale factor = scale first indicator": [
                ""
            ],
            "Scale Reliability Statistics": [
                ""
            ],
            "Scale Statistics": [
                ""
            ],
            "Scheffe": [
                "Scheffe"
            ],
            "Score Component": [
                ""
            ],
            "Score Factor": [
                ""
            ],
            "Score for component": [
                ""
            ],
            "Score for factor {i}. Estimated using the '{fsMethod}' method.": [
                ""
            ],
            "Scree Plot": [
                "陡坡圖(Scree plot)"
            ],
            "Scree plot": [
                "陡坡圖(Scree plot)"
            ],
            "SD": [
                "標準差(SD)"
            ],
            "SE": [
                "標準誤(SE)"
            ],
            "SE difference": [
                "平均數差異標準誤"
            ],
            "Semipartial": [
                ""
            ],
            "Semipartial Correlation": [
                ""
            ],
            "Sensitivity": [
                "敏感度(Sensitivity)"
            ],
            "septic": [
                ""
            ],
            "sextic": [
                ""
            ],
            "Shapiro-Wilk": [
                "Shapiro-Wilk"
            ],
            "Shapiro-Wilk Multivariate Normality Test": [
                "Shapiro-Wilk 多變量常態檢定"
            ],
            "Shapiro-Wilk p": [
                "Shapiro-Wilk p"
            ],
            "Shapiro-Wilk test": [
                "Shapiro-Wilk 檢定"
            ],
            "Shapiro-Wilk test for multivariate normality": [
                "Shapiro-Wilk 多變量常態檢定"
            ],
            "Shapiro-Wilk W": [
                "Shapiro-Wilk W"
            ],
            "Side by side": [
                "並排"
            ],
            "Simple": [
                ""
            ],
            "Simplimax": [
                ""
            ],
            "simplimax": [
                ""
            ],
            "Simulations": [
                ""
            ],
            "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": [
                "偏態"
            ],
            "Sort loadings by size": [
                ""
            ],
            "Spearman": [
                "Spearman"
            ],
            "Spearman's rho": [
                "Spearman's rho"
            ],
            "Specificity": [
                "特異度(Specificity)"
            ],
            "Sphericity Correction": [
                ""
            ],
            "Sphericity corrections": [
                ""
            ],
            "Sphericity tests": [
                ""
            ],
            "Split by": [
                "分組依照"
            ],
            "Squared Mahalanobis Distance": [
                ""
            ],
            "SRMR": [
                "SRMR"
            ],
            "SS Loadings": [
                "SS負荷量"
            ],
            "Stacked": [
                "重疊顯示"
            ],
            "Stand. Estimate": [
                "標準化係數"
            ],
            "Standard deviation": [
                "標準差"
            ],
            "Standard Error": [
                "標準誤"
            ],
            "Standard error": [
                "標準誤"
            ],
            "Standardized Estimate": [
                "標準化係數"
            ],
            "Standardized estimate": [
                "標準化係數"
            ],
            "Standardized Residuals": [
                "標準化殘差"
            ],
            "Standardized residuals": [
                ""
            ],
            "Standardized residuals (adjusted Pearson)": [
                ""
            ],
            "Statistic": [
                "統計值"
            ],
            "statistic": [
                "統計值"
            ],
            "Statistics": [
                "統計值"
            ],
            "Std. deviation": [
                "標準差(SD)"
            ],
            "Std. error kurtosis": [
                "峰度之標準誤"
            ],
            "Std. error mean": [
                "平均數之標準誤"
            ],
            "Std. error of Mean": [
                "平均數之標準誤"
            ],
            "Std. error skewness": [
                "偏態之標準誤"
            ],
            "Student's": [
                "Student's"
            ],
            "Student's t": [
                "Student's t"
            ],
            "Student's test": [
                "Student's t 檢定"
            ],
            "Sum": [
                "總和"
            ],
            "Sum of Squares": [
                "平方和"
            ],
            "Sum of squares": [
                "平方和"
            ],
            "Sum score": [
                "總和分數"
            ],
            "Summary": [
                "摘要"
            ],
            "t": [
                "t"
            ],
            "T-Tests": [
                "T 檢定"
            ],
            "t-value": [
                "t值"
            ],
            "ten Berge": [
                ""
            ],
            "Term {0}": [
                ""
            ],
            "Term 1": [
                ""
            ],
            "Test for Exact Fit": [
                ""
            ],
            "Test results (t and df)": [
                "檢定結果 (t 及 df)"
            ],
            "Test statistics": [
                "檢定統計"
            ],
            "Test Value": [
                "檢定值"
            ],
            "Test value": [
                "檢定值"
            ],
            "Tests": [
                "檢定"
            ],
            "Tests of Sphericity": [
                ""
            ],
            "th percentile": [
                "th 百分位數"
            ],
            "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 |": [
                ""
            ],
            "the alternative hypothesis.": [
                ""
            ],
            "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.": [
                ""
            ],
            "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).": [
                ""
            ],
            "the between subjects terms of the model.": [
                ""
            ],
            "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.": [
                ""
            ],
            "the categorical explanatory (or independent) variables.": [
                ""
            ],
            "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.": [
                ""
            ],
            "the continuous explanatory (or independent) variables, also known as covariates.": [
                ""
            ],
            "the contrasts to use.": [
                ""
            ],
            "the control variables of interest.": [
                ""
            ],
            "the covariates (specifying these makes this an ANCOVA)": [
                ""
            ],
            "The cut-off value is set to {}": [
                ""
            ],
            "The dataset contains 0 rows (after removing rows with missing values)": [
                ""
            ],
            "The dataset contains 0 rows (or all rows contain missing values)": [
                ""
            ],
            "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels.": [
                ""
            ],
            "The dependent variable '{dep}' has the following order: {orderedLevels}": [
                ""
            ],
            "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression.": [
                ""
            ],
            "the dependent variable. For ANCOVA, these will be continuous.": [
                ""
            ],
            "the dependent variable. For ANOVA, these will be continuous.": [
                ""
            ],
            "the dependent variables -- a separate t-test is performed for each dependent variable specified.": [
                ""
            ],
            "the dependent variables. For ANOVA, these will be continuous.": [
                ""
            ],
            "the error bars to plot on the marginal means.": [
                ""
            ],
            "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.": [
                ""
            ],
            "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.": [
                ""
            ],
            "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.": [
                ""
            ],
            "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": [
                ""
            ],
            "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.": [
                ""
            ],
            "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.": [
                ""
            ],
            "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.": [
                ""
            ],
            "Theoretical Quantiles": [
                ""
            ],
            "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": [
                "閾值"
            ],
            "Thresholds": [
                "閾值"
            ],
            "Thurstone": [
                "Thurstone"
            ],
            "Tjur's R²": [
                ""
            ],
            "TLI": [
                "TLI"
            ],
            "Tolerance": [
                ""
            ],
            "Too few observations (N < 3) to compute statistic": [
                "樣本過少(N < 3)無法計算統計值"
            ],
            "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables.": [
                "樣本過少無法計算統計值。每一組樣本數需大於或等於依變項數。"
            ],
            "Too few samples to compute statistic (N < {n})": [
                "樣本過少無法計算統計值 (N < {n})"
            ],
            "Too few samples to compute statistic (N < 3)": [
                "樣本過少無法計算統計值 (N < 3)"
            ],
            "Too many observations (N > 5000) to compute statistic": [
                "樣本過多(N > 5000)無法計算統計值"
            ],
            "Too many samples to compute statistic (N > {n})": [
                "樣本過多無法計算統計值 (N > {n})"
            ],
            "Too many samples to compute statistic (N > 5000)": [
                "樣本過多無法計算統計值 (N > 5000)"
            ],
            "Tooth Growth": [
                ""
            ],
            "Total": [
                "總計"
            ],
            "Tukey": [
                "Tukey"
            ],
            "Tukey (equal variances)": [
                "Tukey (變異數同值)"
            ],
            "Tukey Post-Hoc Test – {dep}": [
                "Tukey 事後檢定 – {dep}"
            ],
            "Type {ssType} Sums of Squares": [
                "Type {ssType} Sums of Squares"
            ],
            "Type 1": [
                "Type 1"
            ],
            "Type 2": [
                "Type 2"
            ],
            "Type 3": [
                "Type 3"
            ],
            "Type 3 sum of squares": [
                "Type 3 sum of squares"
            ],
            "Unable to split by a continuous variable": [
                "無法被連續變項切分"
            ],
            "Uniqueness": [
                "Uniqueness"
            ],
            "Univariate Tests": [
                "單變量檢定"
            ],
            "Unstandardized residuals": [
                ""
            ],
            "Upper": [
                "上界"
            ],
            "upper bound": [
                "上界"
            ],
            "Value": [
                "Value"
            ],
            "value": [
                "value"
            ],
            "values": [
                "個資料"
            ],
            "Values are counts": [
                ""
            ],
            "Variable": [
                "變項"
            ],
            "Variable '{var}' contains no data": [
                "'{var}' 變項未包含資料"
            ],
            "Variable contains infinite values": [
                "變項包含無限值"
            ],
            "Variable does not contain enough observations": [
                "變項未包含足夠的觀察值"
            ],
            "Variable is not numeric": [
                "變項種類並非數值"
            ],
            "Variables": [
                "變項"
            ],
            "Variables across columns": [
                "欄變項"
            ],
            "Variables across rows": [
                "列變項"
            ],
            "Variables must have at least two levels": [
                "變項至少須包含兩個水準"
            ],
            "Variance": [
                "變異數"
            ],
            "Variances": [
                "變異數"
            ],
            "variation from the control variables is only removed from the variables in the columns": [
                ""
            ],
            "Varimax": [
                "Varimax"
            ],
            "varimax": [
                "varimax"
            ],
            "VIF": [
                "VIF"
            ],
            "Violin": [
                "小提琴圖(Violin)"
            ],
            "W": [
                ""
            ],
            "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)": [
                ""
            ],
            "Weight Variable": [
                ""
            ],
            "Weighted by '{varName}'": [
                ""
            ],
            "Weights": [
                "權重"
            ],
            "Weights (optional)": [
                ""
            ],
            "Weights contains negative values. Negative weights are not permitted.": [
                ""
            ],
            "Welch's": [
                "Welch's"
            ],
            "Welch's t": [
                "Welch's t"
            ],
            "Wilcoxon rank": [
                "Wilcoxon rank"
            ],
            "Wilcoxon signed rank test": [
                ""
            ],
            "Wilcoxon W": [
                ""
            ],
            "Wilks' Lambda": [
                "Wilks' Lambda"
            ],
            "within column": [
                ""
            ],
            "within rows": [
                ""
            ],
            "Within Subjects Effects": [
                "受試者內效果"
            ],
            "X-Axis": [
                "X軸"
            ],
            "X-axis": [
                "X軸"
            ],
            "Y-Axis": [
                "Y軸"
            ],
            "Y-axis": [
                "Y軸"
            ],
            "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 Goodness of Fit": [
                ""
            ],
            "χ² Goodness of fit": [
                ""
            ],
            "χ² test": [
                "χ² 檢定"
            ],
            "χ² test of association": [
                ""
            ],
            "χ² Tests": [
                "χ² 檢定"
            ],
            "ω²": [
                "ω²"
            ],
            "specific factor\u0004Factor": [
                ""
            ]
        }
    },
    "code": "zh-tw"
}