ܫܘܪܝܐ (Getting started)
ܕܟܝ ܐܗܐ ܟܦܠܚ
ܬܠܬܐ ܦܣ̈ܥܬܐ ܡܢ ܦܐܝܠ ܥܕܡܐ ܠܬܘܢܝܐ
1. ܟܡܛܝܒܚ ܝܗܝ̈ܒܬܐ
ܦܐܝܠ ܕܐܩܣܠ ܓܘ ܛܘܦܣܐ ܬܩܝܢܐ (the standard data template) ܕܣܐܝܛ: ܣܕܪܐ = ܡܫܬܘܬܦܢܐ (participant)، ܥܡܘܕܐ = ܡܫܬܚܠܦܢܐ (variable)، ܣܕܪܐ ܕܪ̈ܫܐ (header row) ܩܕܡܝܐ – ܘܐܢ ܒܥܝܬܘܢ، ܓܠܝܘܢܐ (sheet) "ܡܦܫܩܢܐ" (legend) ܥܡ ܬܚܘܝܬܐ، ܙܢܐ ܕܡܫܬܚܠܦܢܐ ܘܪܡܙܢܘܬܐ (coding) ܕܟܠ ܥܡܘܕܐ. ܬܡܐ ܐܝܬ ܐܦ ܛܘܦܣܐ ܣܦܝܩܐ، ܦܐܝܠ ܕܡܬܠܐ ܘܡܒܚܪܢܐ ܩܐ ܦܐܝܠ ܕܝܘܟܘܢ. ܐܝܢܐ ܕܟܦܠܚ ܒ-SPSS ܟܫܪܐ ܒܦܐܬܐ ܡܢ SPSS ܠܐܩܣܠ ܘܟܫܩܠ ܦܐܝܠ ܡܛܝܒܐ، ܥܡ ܡܦܫܩܢܐ.
2. ܟܓܒܚ ܡܚܫܒܢܐ (calculator)
ܠܦܘܬ ܫܘܐܠܐ ܘܡܫܬܚܠܦ̈ܢܐ (variables) – ܠܘܚܐ 1 ܠܬܚܬ ܟܗܝܪ ܩܐ ܓܘܒܝܐ. ܡܚܫܒ̈ܢܐ (calculators) ܘܡܕܒܪ̈ܢܐ (guides) ܦܬܝ̈ܚܐ ܝܢܐ ܩܐ ܟܠ ܢܫ، ܕܠܐ ܡܟܬܒܬ ܫܡܐ. ܟܓܪܫܚ ܦܐܝܠ، ܟܪܫܡܚ ܡܫܬܚܠܦ̈ܢܐ، ܟܕܚܩܚ "ܚܘܫܒܢܐ". ܓܘ ܟܠ ܡܚܫܒܢܐ ܐܝܬ ܦܐܝܠ ܕܡܬܠܐ ܩܐ ܡܚܬܬܐ (ܒܥܒܪܝܐ ܘܒܐܢܓܠܝܙܝܐ) ܩܐ ܕܡܢܣܝܚ ܩܕܡ ܕܛܥܢܚ ܝܗܝ̈ܒܬܐ.
3. ܟܫܩܠܚ ܡܦܩܢܐ (output)
ܠܘ̈ܚܐ (tables) ܒܙܢܐ ܕ-APA، ܨܘܪܬܐ، ܡܐܡܪܐ ܕܬܘܢܝܐ (report sentence) ܒܣܘܪܝܬ ܘܒܐܢܓܠܝܙܝܐ، "ܩܪܝܢܐ ܕܦܐܪܐ" (Interpreting the result) ܒܡ̈ܠܐ – ܘܡܚܬܬܐ ܐܝܟ Word ܝܢ HTML. ܦܐܝܠ ܕܣܝܢܬܐܟܣ (syntax) ܟܡܦܩ ܗܢܝ ܡܢܝ̈ܢܐ ܒ-SPSS، ܩܐ ܐܝܢܐ ܕܒܥܐ ܕܒܚܪ.
ܡܐ ܕܚܫܝܚܐ ܝܠܗ ܠܡܝܕܥ: ܟܠ ܡܚܫܒ̈ܢܐ (calculators) ܪܡܙܐ ܩܝܡܐ ܘܡܚܬܡܐ ܝܢܐ – ܗܢܝ ܝܗܝ̈ܒܬܐ ܟܝܗܒܝ ܟܠ ܐܡܢ ܗܘ ܦܐܪܐ، ܘܠܝܬ AI ܓܘ ܙܒܢܐ ܕܪܗܛܐ. ܟܠ ܚܘܫܒܢܐ ܟܡܬܥܒܕ ܓܘ ܒܪܐܘܙܪ (in the browser) ܕܝܘܟܘܢ ܒܣ: ܝܗܝ̈ܒܬܐ ܠܐ ܟܡܫܬܕܪܝ ܠܚܕ ܣܝܪܒܪ. ܟܠ ܡܚܫܒܢܐ ܡܫܪܪܐ ܝܠܗ ܥܡ SPSS (ܒܝܕ PSPP)، R ܘ-reference libraries ܕ-Python، ܘܥܡ ܡܬܠ̈ܐ ܡܢ ܟܬܒ̈ܐ ܕܝܘܠܦܢܐ.
ܐܝܟܐ ܝܘܢ ܐܢܐ ܓܘ ܒܘܨܝܐ؟
ܐܘܪܚܐ ܕܒܘܨܝܐ – ܡܢ ܫܘܐܠܐ ܥܕܡܐ ܠܬܘܢܝܐ
ܣܐܝܛ ܛܟܝܣܐ ܝܠܗ ܠܦܘܬ ܦܣ̈ܥܬܐ ܕܒܘܨܝܐ. ܐܝܢܐ ܕܝܕܥ ܡܢ ܩܕܡ ܡܘܕܝ ܣܢܝܩ ܝܠܗ – ܟܫܘܪ ܬܪܝܨܐܝܬ ܠܡܚܫܒܢܐ (calculator)؛ ܐܝܢܐ ܕܟܫܪܐ – ܟܥܒܪ ܦܣܥܬܐ ܒܬܪ ܦܣܥܬܐ.
ܦܣܥܬܐ 1 – ܬܘܩܢܐ ܕܒܘܨܝܐ
ܡܘܕܝ ܟܫܐܠܚ، ܡܘܕܝ ܟܡܫܚܚ ܘܠܡܢ – ܩܕܡ ܕܟܢܫܚ ܐܦ ܚܕ ܛܝܡܐ.
ܫܘܐܠܐ ܕܒܘܨܝܐ ܘܗܘܦܘܬܣ̈ܝܣ (research question and hypotheses)ܡܫܬܚܠܦ̈ܢܐ (variables)، ܕܪ̈ܓܐ ܕܡܫܘܚܬܐ (levels/scales of measurement) ܘܬܘܩ̈ܢܐ ܕܒܘܨܝܐ (research designs)ܕܘܡܝܐ ܘܓܘܒܝܐ ܕܕܘܡܝܐ (sample and sampling)ܬܘܩܢܐ ܕܢܣܝ̈ܘܢܐ (design of experiments, DOE)ܫܪܝܪܘܬܐ ܘܬܪܝܨܘܬܐ (reliability and validity) – ܣܘܟ̈ܠܐܒܢܝܢܐ ܕܦܢܩܝܬܐ ܕܫܘܐ̈ܠܐ (questionnaire construction)ܐܝܬܝܩܐ ܕܒܘܨܝܐ (research ethics)
ܦܣܥܬܐ 2 – ܡܛܝܒܘܬܐ ܕܝܗܝ̈ܒܬܐ
ܦܐܝܠ ܟܥܒܪ ܠܛܘܦܣܐ ܬܩܝܢܐ (the standard data template) ܕܣܐܝܛ، ܛܝ̈ܡܐ ܚܣܝ̈ܪܐ (missing values) ܘܛܝ̈ܡܐ ܢܘܟܪ̈ܝܐ (outliers) ܟܡܬܛܦܠܝ، ܘܣܒ̈ܠܬܐ (scales) ܟܫܩܠܝ ܡܢܝܢܐ.
ܛܘܦܣܐ ܬܩܝܢܐ ܕܝܗܝ̈ܒܬܐ (standard data template)ܪܡܙܢܘܬܐ ܕܦܘܢ̈ܝܐ ܘܒܢܝܢܐ ܕܡܫܬܚܠܦ̈ܢܐ (coding responses and creating variables)ܡܢ SPSS ܠܐܩܣܠ (From SPSS to Excel)ܛܝ̈ܡܐ ܚܣܝ̈ܪܐ (missing values)ܛܝ̈ܡܐ ܢܘܟܪ̈ܝܐ (outliers) ܘܫܪ̈ܛܐ (assumptions)ܒܘܚܪܢܐ ܕܢܘܪܡܠܝܘܬܐ (normality testing)ܫܪܝܪܘܬܐ (reliability) – ܐܠܦܐ ܕ-Cronbach (Cronbach's alpha) ܘܡܢܝܢܐ ܕܣܒܠܬܐ (scale score)ܫܪܝܪܘܬܐ ܒܝܢܝ ܪܡܙ̈ܢܐ (intercoder reliability) – ܩܐܦܐ ܕ-Cohen (Cohen's kappa) ܘܐܠܦܐ ܕ-Krippendorff (Krippendorff's alpha)
ܦܣܥܬܐ 3 – ܬܚܘܝܬܐ ܕܕܘܡܝܐ (sample)
ܡܢܘ ܝܢܐ ܡܫܬܘܬܦ̈ܢܐ (participants) ܘܕܟܝ ܟܡܬܚܙܐ ܟܠ ܡܫܬܚܠܦܢܐ (variable) – ܩܕܡ ܟܠ ܒܘܚܪܢܐ.
ܦܣܥܬܐ 4 – ܒܘܚܪܢܐ ܕܗܘܦܘܬܣ̈ܝܣ (hypotheses)
ܦܘܪ̈ܫܢܐ ܒܝܢܝ ܓܘ̈ܕܐ ܘܡܫܘ̈ܚܬܐ، ܐܣܘܪ̈ܐ ܒܝܢܝ ܡܫܬܚܠܦ̈ܢܐ (variables)، ܡܢܒܝܢܘܬܐ (prediction) ܘܡܨܥܝܘܬܐ (mediation).
ܒܘܚܪܢܐ t ܠܕܘܡܝܐ ܝܚܝܕܝܐ (one-sample t-test)ܒܘܚܪܢܐ t ܠܕܘ̈ܡܝܐ ܠܐ ܬܠܝ̈ܐ (independent-samples t-test)ܒܘܚܪܢܐ ܕ-Mann-Whitney (Mann-Whitney U test)ܒܘܚܪܢܐ t ܠܕܘ̈ܡܝܐ ܙܘܓܢ̈ܝܐ (paired-samples t-test)ܒܘܚܪܢܐ ܕ-Wilcoxon ܠܕܘ̈ܡܝܐ ܙܘܓܢ̈ܝܐ (Wilcoxon signed-rank test)ܦܘܫܩܐ ܕܫܘܚܠܦܐ ܕܚܕ ܐܘܪܚܐ (one-way ANOVA)ܒܘܚܪܢܐ ܕ-Kruskal-Wallis (Kruskal-Wallis test)ANOVA ܠܡܫܘ̈ܚܬܐ ܡܬܢ̈ܝܬܐ (repeated measures)ANCOVA – ܦܘܫܩܐ ܕܫܘܚܠܦܐ ܥܡ ܡܫܬܚܠܦܢܐ ܡܠܘܝܢܐ (analysis of covariance)ܥܠ̈ܠܬܐ ܓܕܫܢ̈ܝܬܐ (random factors)، ܡܩܢܢܐ (nested) ܘܣܦܠܝܛ-ܦܠܘܛ (split-plot)ܐܘܪܚܐ ܕܐܦ̈ܐ ܕܦܘܢܝܐ (response surface methodology)ܐܣܘܪ̈ܐ ܕܚܕ̈ܕܐ ܕ-Pearson ܘ-Spearman (Pearson and Spearman correlations)ܨܘܪܬܐ ܕܒܕܪܐ (scatter plot) ܘܣܪܛܐ ܕܪܝܓܪܫܢ (regression line)ܒܘܚܪܢܐ ܕܟܝ ܡܪܒܥܐ ܠܠܐ ܬܠܝܘܬܐ (chi-square test of independence)ܪܝܓܪܫܢ ܣܪܛܢܝܐ (linear regression)ܪܝܓܪܫܢ ܠܘܓܝܣܛܝܩܝܐ ܕܬܪܝܢ ܛܝ̈ܡܐ (binary logistic regression)ܦܘܫܩܐ ROC (ROC analysis)ܡܪܟܟܢܘܬܐ ܘܡܨܥܝܘܬܐ (moderation and mediation)ܦܘܫܩܐ ܕܫܒ̈ܝܠܐ ܘܡܨܥܝܘܬܐ (path analysis and mediation)ܦܘܫܩܐ ܕܥܠ̈ܠܬܐ ܡܒܨܝܢܐ (EFA)ܦܘܫܩܐ ܕܥܠ̈ܠܬܐ ܡܫܪܪܢܐ (CFA)ܡܘܕܝܠ ܕܫܘܝ̈ܘܬܐ ܒܢܝܢܝ̈ܬܐ (SEM)ܡܨܥܝܘܬܐ ܒܝܢܝ ܥܠ̈ܠܬܐ ܟܣ̈ܝܬܐ (latent mediation, bootstrap)ܦܘܚܡܐ ܕܓܘ̈ܕܐ ܘܠܐ ܡܫܬܚܠܦܢܘܬܐ ܕܡܫܘܚܬܐ (multigroup comparison and measurement invariance)ܦܘܫܩܐ ܕܥܢܩܘ̈ܕܐ (cluster analysis)ܡܝܛܐ-ܐܢܐܠܝܣܝܣ (meta-analysis)ܦܘܫܩܐ ܕܩܘܝܡܐ ܒܚܝ̈ܐ (survival analysis)
ܦܣܥܬܐ 5 – ܬܘܢܝܐ
ܟܠ ܡܚܫܒܢܐ (calculator) ܟܫܠܡ ܒܠܘܚܐ (table) ܒܙܢܐ ܕ-APA، ܒܡܐܡܪܐ ܕܬܘܢܝܐ (report sentence) ܒܣܘܪܝܬ ܘܒܐܢܓܠܝܙܝܐ ܘܒܦܐܝܠ Word – ܘܒܣܝܢܬܐܟܣ (syntax) SPSS ܩܐ ܒܘܚܪܢܐ ܡܚܠܦܢܐ؛ ܦܐܬܐ ܕܢܡܘ̈ܣܐ ܟܐܡܪܐ ܡܘܕܝ ܓܪܓ ܕܗܘܐ ܓܘ ܟܠ ܡܐܡܪܐ، ܚܕ ܡܘܠܕܢܐ (generator) ܟܡܪܟܒ ܡܢ ܡܦܩ̈ܢܐ (outputs) ܨܚܚܐ ܕܦܐܪ̈ܐ، ܘܐܚܪܢܐ ܟܒܢܐ ܡܢ ܦܢܩܝܬܐ ܕܡܠܝܐ ܨܚܚܐ ܕܡܫܟܚ̈ܢܘܬܐ (results chapter)، ܟܢܘܫܝܐ ܘܟܢܘܫܝܐ ܩܨܝܪܐ ܠܡܕܒܪ̈ܢܐ (executive summary).
ܐܝܢܐ ܒܘܚܪܢܐ ܝܠܗ ܦܐܝܐ ܩܐ ܕܝܝ؟
ܓܘܒܝܐ ܕܒܘܚܪܢܐ ܠܦܘܬ ܫܘܐܠܐ ܘܡܫܬܚܠܦ̈ܢܐ (variables)
ܠܘܚܐ 1. ܡܘܕܝ ܒܥܝܚ ܕܒܚܪܚ، ܐܝܢܝ ܡܫܬܚܠܦ̈ܢܐ (variables)، ܘܐܝܢܐ ܒܘܚܪܢܐ
| ܡܘܕܝ ܒܥܝܚ ܕܒܚܪܚ | ܡܫܬܚܠܦ̈ܢܐ (variables) | ܒܘܚܪܢܐ (ܐܣܘܪܐ ܠܦܐܬܐ) |
|---|---|---|
| ܬܚܘܝܬܐ ܕܚܕ ܡܫܬܚܠܦܢܐ (variable) – ܦܘܠܓܐ (distribution)، ܡܨܥܝܬܐ (mean)، ܣܛܝܘܬܐ ܬܩܝܢܬܐ (standard deviation) | ܟܠ ܙܢܐ | ܣܓܝܐܘ̈ܬܐ (frequencies) ܘܣܛܐܛܝܣܛܝܩܐ ܡܚܘܝܢܝܬܐ (descriptive statistics) |
| ܬܘܢܝܐ ܕܠܘ̈ܚܐ (tables) ܩܐ ܟܠ ܫܘܐ̈ܠܐ ܕܒܘܨܝܐ ܕܫܘܐ̈ܠܐ (survey) – ܥܡ ܟܬܒܐ ܕܪ̈ܡܙܐ (codebook) ܘܒܘܚܪܢܐ ܕܝܗܝ̈ܒܬܐ | ܦܘܢܝܐ ܝܚܝܕܝܐ، ܦܘܢ̈ܝܐ ܣܓܝ̈ܐܐ (multiple response)، ܣܕܪ̈ܐ ܕܫܘܐ̈ܠܐ (batteries)، ܫܘܐ̈ܠܐ ܬܠܝ̈ܐ، ܡܫܬܚܠܦ̈ܢܐ ܕܬܚܘܝܬܐ (background variables)؛ ܟܡܐ ܦܐܝ̈ܠܐ ܕܦܘܢ̈ܝܐ؛ ܡܬܩܠܢܘܬܐ (weighting)؛ ܨܪܪܐ ܕܒܘܨܝܐ ܩܐ ܥܒܕܐ ܡܢ ܪܝܫ (reproducibility package) | ܦܘܠܚܢܐ ܕܒܘܨܝܐ ܕܫܘܐ̈ܠܐ (survey processing): ܟܬܒܐ ܕܪ̈ܡܙܐ (codebook)، ܒܘܚܪ̈ܢܐ ܘܠܘ̈ܚܐ (tables) |
| ܗܢܝ ܠܘ̈ܚܐ (tables) ܠܦܘܬ ܓܘ̈ܕܐ – ܕܟܪܐ/ܢܩܒܬܐ، ܓܘܕܐ ܕܥܘܡܪܐ، ܐܬܪܐ – ܥܡ ܟܝ ܡܪܒܥܐ (chi-square) ܘ-V ܩܐ ܟܠ ܦܘܠܓܐ ܡܚܠܦܢܐ (crosstab) | ܫܘܐ̈ܠܐ ܕܒܘܨܝܐ ܕܫܘܐ̈ܠܐ (survey) × ܡܫܬܚܠܦ̈ܢܐ ܕܬܚܘܝܬܐ (ܪ̈ܫܐ ܕܥܡܘ̈ܕܐ)؛ ܐܦ ܥܡ ܡܬܩܠܢܘܬܐ (weighting) | ܦܘܠܚܢܐ ܕܒܘܨܝܐ ܕܫܘܐ̈ܠܐ (survey processing): ܦܘܠ̈ܓܐ ܕܥܡܘ̈ܕܐ (banner tables) |
| ܐܣܘܪܐ ܒܝܢܝ ܬܪܝܢ ܡܫܬܚܠܦ̈ܢܐ ܟܡܝ̈ܝܐ (quantitative variables) | ܟܡܝܝܐ × ܟܡܝܝܐ | ܐܣܘܪ̈ܐ ܕܚܕ̈ܕܐ ܕ-Pearson ܘ-Spearman (Pearson and Spearman correlations) · ܨܘܪܬܐ ܕܒܕܪܐ (scatter plot) ܘܣܪܛܐ ܕܪܝܓܪܫܢ (regression line) |
| ܐܣܘܪܐ ܒܝܢܝ ܬܪܝܢ ܡܫܬܚܠܦ̈ܢܐ ܕܓܢ̈ܣܐ (categorical variables) | ܕܓܢ̈ܣܐ × ܕܓܢ̈ܣܐ | ܒܘܚܪܢܐ ܕܟܝ ܡܪܒܥܐ ܠܠܐ ܬܠܝܘܬܐ (chi-square test of independence) |
| ܐܢ ܡܫܬܚܠܦܢܐ (variable) ܐܝܬܠܗ ܦܘܠܓܐ ܢܘܪܡܠܝܐ (normal distribution) – ܩܕܡ ܒܘܚܪܢܐ t، ANOVA ܝܢ ܪܝܓܪܫܢ (regression) | ܟܡܝܝܐ (ܩܐ ܟܠ ܕܘܡܝܐ ܝܢ ܠܦܘܬ ܓܘܕܐ) | ܒܘܚܪܢܐ ܕܢܘܪܡܠܝܘܬܐ (normality testing) |
| ܐܢ ܚܕܐ ܡܨܥܝܬܐ (mean) ܦܪܝܫܬܐ ܝܠܗ ܡܢ ܛܝܡܐ ܩܝܡܐ – ܦܠܓܐ ܕܣܒܠܬܐ (scale)، ܢܘܪܡܐ | ܟܡܝܝܐ ܩܘܒܠ ܛܝܡܐ ܕܒܘܚܪܢܐ (test value) | ܒܘܚܪܢܐ t ܠܕܘܡܝܐ ܝܚܝܕܝܐ (one-sample t-test) |
| ܦܘܪܫܢܐ ܓܘ ܡܨܥܝܬܐ (mean) ܒܝܢܝ ܬܪܝܢ ܓܘ̈ܕܐ ܦܪ̈ܝܫܐ | ܕܓܢ̈ܣܐ (2 ܓܘ̈ܕܐ) ← ܟܡܝܝܐ | ܒܘܚܪܢܐ t ܠܕܘ̈ܡܝܐ ܠܐ ܬܠܝ̈ܐ (independent-samples t-test) |
| ܦܘܪܫܢܐ ܒܝܢܝ ܬܪܝܢ ܓܘ̈ܕܐ ܦܪ̈ܝܫܐ – ܡܫܬܚܠܦܢܐ ܕܛܟܣܐ (ordinal variable)، ܕܘܡܝܐ (sample) ܙܥܘܪܐ ܝܢ ܛܝ̈ܡܐ ܢܘܟܪ̈ܝܐ (outliers) | ܕܓܢ̈ܣܐ (2 ܓܘ̈ܕܐ) ← ܕܛܟܣܐ/ܟܡܝܝܐ | ܒܘܚܪܢܐ ܕ-Mann-Whitney (Mann-Whitney U test) |
| ܦܘܪܫܢܐ ܒܝܢܝ ܬܪܬܝܢ ܡܫܘ̈ܚܬܐ ܕܗܢܝ ܡܫܬܘܬܦ̈ܢܐ (participants) | ܬܪܬܝܢ ܡܫܘ̈ܚܬܐ ܟܡܝ̈ܝܬܐ | ܒܘܚܪܢܐ t ܠܕܘ̈ܡܝܐ ܙܘܓܢ̈ܝܐ (paired-samples t-test) |
| ܦܘܪܫܢܐ ܒܝܢܝ ܬܪܬܝܢ ܡܫܘ̈ܚܬܐ ܕܗܢܝ ܡܫܬܘܬܦ̈ܢܐ (participants) – ܡܫܬܚܠܦܢܐ ܕܛܟܣܐ (ordinal variable)، ܕܘܡܝܐ (sample) ܙܥܘܪܐ ܝܢ ܛܝ̈ܡܐ ܢܘܟܪ̈ܝܐ (outliers) | ܬܪܬܝܢ ܡܫܘ̈ܚܬܐ ܕܛܟܣܐ/ܟܡܝ̈ܝܬܐ | ܒܘܚܪܢܐ ܕ-Wilcoxon ܠܕܘ̈ܡܝܐ ܙܘܓܢ̈ܝܐ (Wilcoxon signed-rank test) |
| ܦܘܪܫܢܐ ܓܘ ܡܨܥܝܬܐ (mean) ܒܝܢܝ ܬܠܬܐ ܓܘ̈ܕܐ ܝܢ ܒܝܫ | ܕܓܢ̈ܣܐ (3+ ܓܘ̈ܕܐ) ← ܟܡܝܝܐ | ܦܘܫܩܐ ܕܫܘܚܠܦܐ ܕܚܕ ܐܘܪܚܐ (one-way ANOVA) |
| ܦܘܪܫܢܐ ܒܝܢܝ ܬܠܬܐ ܓܘ̈ܕܐ ܝܢ ܒܝܫ – ܡܫܬܚܠܦܢܐ ܕܛܟܣܐ (ordinal variable)، ܕܘܡܝܐ (sample) ܙܥܘܪܐ ܝܢ ܛܝ̈ܡܐ ܢܘܟܪ̈ܝܐ (outliers) | ܕܓܢ̈ܣܐ (3+ ܓܘ̈ܕܐ) ← ܕܛܟܣܐ/ܟܡܝܝܐ | ܒܘܚܪܢܐ ܕ-Kruskal-Wallis (Kruskal-Wallis test) |
| ܦܘܪܫܢܐ ܒܝܢܝ ܬܠܬ ܡܫܘ̈ܚܬܐ ܝܢ ܒܝܫ ܕܗܢܝ ܡܫܬܘܬܦ̈ܢܐ (participants)، ܝܢ ܫܘܢܝܐ ܓܘ ܐܘܪܟܐ ܕܙܒܢܐ ܕܟܦܚܡܚ ܒܝܢܝ ܓܘ̈ܕܐ | ܟܡܐ ܡܫܘ̈ܚܬܐ ܟܡܝ̈ܝܬܐ (+ ܓܘܕܐ) | ANOVA ܠܡܫܘ̈ܚܬܐ ܡܬܢ̈ܝܬܐ (repeated measures) ܘܬܘܩܢܐ ܡܚܠܛܐ (mixed design) |
| ܦܘܪܫܢܐ ܓܘ ܡܨܥܝܬܐ (mean) ܒܝܢܝ ܓܘ̈ܕܐ، ܐܝܡܢ ܕܟܫܩܠܚ ܒܚܘܫܒܢܐ ܡܫܬܚܠܦܢܐ ܡܬܡܫܚܢܐ (continuous variable) ܕܡܫܝܚܐ ܝܠܗ ܩܕܡ – ܡܬܠܐ ܡܢܝܢܐ ܕ"ܩܕܡ" | ܕܓܢ̈ܣܐ ← ܟܡܝܝܐ، ܥܡ ܡܫܬܚܠܦܢܐ ܡܠܘܝܢܐ (covariate) | ANCOVA – ܦܘܫܩܐ ܕܫܘܚܠܦܐ ܥܡ ܡܫܬܚܠܦܢܐ ܡܠܘܝܢܐ (analysis of covariance) |
| ܡܥܒܕܢܘܬܐ ܕܬܪܬܝܢ ܥܠ̈ܠܬܐ (factors) ܝܢ ܒܝܫ ܘܕܥܒܕܐ ܕܚܕ̈ܕܐ (interaction) ܕܝܗܝ، ܐܦ ܥܡ ܓܘ̈ܫܡܐ (blocks)؛ ܪܒܘܬܐ ܕܕܘܡܝܐ (sample size) ܘܛܟܣܐ ܓܕܫܢܝܐ ܩܐ ܢܣܝܘܢܐ (experiment) | ܟܡܐ ܥܠ̈ܠܬܐ ܕܓܢ̈ܣܐ (categorical factors) ← ܟܡܝܝܐ | ܬܘܩܢܐ ܕܢܣܝ̈ܘܢܐ (design of experiments, DOE) ܘܦܘܫܩܐ ܕܫܘܚܠܦܐ ܕܣܓܝ ܥܠ̈ܠܬܐ (factorial ANOVA) |
| ܡܥܒܕܢܘܬܐ ܕܥܠܬܐ (factor) ܕܕܪ̈ܓܐ ܕܝܗ ܕܘܡܝܐ (sample) ܝܢܐ – ܒ̈ܬܐ ܕܣܦܪܐ، ܨܦ̈ܐ، ܝܘܡ̈ܬܐ – ܝܢ ܕܥܠܬܐ ܡܩܢܢܬܐ (nested) ܓܘ ܥܠܬܐ ܐܚܪܬܐ؛ ܣܦܠܝܛ-ܦܠܘܛ (split-plot) | ܥܠ̈ܠܬܐ ܩܝ̈ܡܬܐ (fixed factors) ܘܓܕܫܢ̈ܝܬܐ (random) ← ܟܡܝܝܐ | ܥܠ̈ܠܬܐ ܓܕܫܢ̈ܝܬܐ (random factors)، ܡܩܢܢܐ (nested) ܘܣܦܠܝܛ-ܦܠܘܛ (split-plot) |
| ܒܐܝܢܐ ܪܘܟܒܐ ܕܥܠ̈ܠܬܐ (factors) ܟܡܝ̈ܝܬܐ – ܟܡܝܘܬܐ ܕܣܡܐ، ܙܒܢܐ، ܐܘܪܟܐ – ܦܐܪܐ (outcome) ܝܠܗ ܛܒܐ ܡܢ ܟܠ | ܟܡܐ ܥܠ̈ܠܬܐ (factors) ܟܡܝ̈ܝܬܐ ← ܟܡܝܝܐ | ܐܘܪܚܐ ܕܐܦ̈ܐ ܕܦܘܢܝܐ (response surface methodology) |
| ܡܢܒܝܢܘܬܐ (prediction) ܕܡܫܬܚܠܦܢܐ ܟܡܝܝܐ (quantitative variable) ܡܢ ܚܕ ܡܢܒܝܢܐ (predictor) ܝܢ ܟܡܐ | ܡܢܒ̈ܝܢܐ (predictors) ← ܟܡܝܝܐ | ܪܝܓܪܫܢ ܣܪܛܢܝܐ (linear regression) |
| ܡܢܒܝܢܘܬܐ (prediction) ܕܦܐܪܐ (outcome) ܕܬܪܝܢ ܛܝ̈ܡܐ (ܐܝܢ/ܠܐ) | ܡܢܒ̈ܝܢܐ (predictors) ← ܕܬܪܝܢ ܛܝ̈ܡܐ (binary) | ܪܝܓܪܫܢ ܠܘܓܝܣܛܝܩܝܐ ܕܬܪܝܢ ܛܝ̈ܡܐ (binary logistic regression) |
| ܟܡܐ ܛܒܐ ܡܢܝܢܐ ܟܦܪܫ ܒܝܢܝ ܐܝܢܐ ܕܐܝܬܠܗ ܚܕ ܗܘܝܐ ܡܚܕܕܐ ܘܐܝܢܐ ܕܠܝܬܠܗ – ܡܨܠܠܢܘܬܐ (screening)، ܦܘܪܫܢܐ ܕܟܘܪܗܢܐ (diagnosis)، ܡܢܒܝܢܘܬܐ (prediction) | ܡܚܘܝܢܐ (measure) ܟܡܝܝܐ ← ܕܬܪܝܢ ܛܝ̈ܡܐ (gold standard) | ܦܘܫܩܐ ROC (ROC analysis) |
| ܡܘܕܝ ܟܐܡܪܝ ܐܟܚܕܐ ܟܡܐ ܒܘܨ̈ܝܐ ܕܒܚܪܠܗܘܢ ܗܘ ܫܘܐܠܐ | ܪܒܘܬܐ ܕܡܥܒܕܢܘܬܐ (effect size) ܡܢ ܟܠ ܒܘܨܝܐ | ܡܝܛܐ-ܐܢܐܠܝܣܝܣ (meta-analysis) |
| ܟܡܐ ܙܒܢܐ ܟܥܒܪ ܥܕܡܐ ܠܚܕ ܓܕܫܐ (event)، ܐܝܡܢ ܕܡܢܬܐ ܡܢ ܡܫܬܘܬܦ̈ܢܐ (participants) ܗܠ ܐܕܝܘܡ ܠܐ ܓܕܫܠܗܘܢ | ܓܘܕܐ ܝܢ ܡܢܒ̈ܝܢܐ (predictors) ← ܙܒܢܐ ܥܕܡܐ ܠܓܕܫܐ (ܥܡ ܦܣܝܩܘܬܐ، censoring) | ܦܘܫܩܐ ܕܩܘܝܡܐ ܒܚܝ̈ܐ (survival analysis) |
| ܡܪܟܟܢܘܬܐ (moderation) – ܐܢ ܐܣܘܪܐ ܒܝܢܝ X ܘ-Y ܬܠܝܐ ܝܠܗ ܒܡܫܬܚܠܦܢܐ (variable) ܬܠܝܬܝܐ؛ ܡܨܥܝܘܬܐ (mediation) ܦܫܝܛܬܐ ܝܢ ܡܪܟܟܬܐ ܒܙܢܐ ܕ-PROCESS | ܡܢܒܝܢܐ (predictor)، ܡܪܟܟܢܐ (moderator) ܘܡܨܥ̈ܝܐ (mediators) ← ܟܡܝܝܐ | ܡܪܟܟܢܘܬܐ ܘܡܨܥܝܘܬܐ (moderation and mediation) |
| ܡܨܥܝܘܬܐ (mediation) – X ܟܡܥܒܕ ܥܠ Y ܒܝܕ M | ܟܡܐ ܫܘܝ̈ܘܬܐ (equations) ܓܘ ܚܕ ܡܘܕܝܠ (model) | ܦܘܫܩܐ ܕܫܒ̈ܝܠܐ ܘܡܨܥܝܘܬܐ (path analysis and mediation) |
| ܟܡܐ ܥܠ̈ܠܬܐ (factors) ܟܠܝ̈ܐ ܝܢܐ ܒܬܪ ܦܣܘ̈ܩܐ (items) ܕܦܢܩܝܬܐ ܕܫܘܐ̈ܠܐ (questionnaire) ܘܐܝܢܝ ܦܣܘ̈ܩܐ ܕܝܠܗ ܕܟܠ ܚܕܐ – ܐܝܡܢ ܕܒܢܝܢܐ ܠܐ ܝܠܗ ܣܝܡܐ ܡܢ ܩܕܡ | ܦܣܘ̈ܩܐ (items) ܕܦܢܩܝܬܐ ܕܫܘܐ̈ܠܐ (ܟܡܝ̈ܝܐ ܝܢ Likert) | ܦܘܫܩܐ ܕܥܠ̈ܠܬܐ ܡܒܨܝܢܐ (exploratory factor analysis, EFA) |
| ܐܢ ܦܣܘ̈ܩܐ (items) ܕܦܢܩܝܬܐ ܕܫܘܐ̈ܠܐ ܟܡܬܟܢܫܝ ܠܥܠ̈ܠܬܐ (factors) ܕܣܝܡ̈ܐ ܝܢܐ ܡܢ ܩܕܡ | ܦܣܘ̈ܩܐ (items) ܕܦܢܩܝܬܐ ܕܫܘܐ̈ܠܐ (ܟܡܐ ܣܒ̈ܠܬܐ) | ܦܘܫܩܐ ܕܥܠ̈ܠܬܐ ܡܫܪܪܢܐ (confirmatory factor analysis, CFA) |
| ܐܢ ܚܕ ܣܘܟܠܐ ܟܡܥܒܕ ܥܠ ܐܚܪܢܐ، ܐܝܡܢ ܕܬܪܘܝܗܝ ܡܫܝ̈ܚܐ ܝܢܐ ܒܟܡܐ ܦܣܘ̈ܩܐ (items) | ܦܣܘ̈ܩܐ (items) ܕܦܢܩܝܬܐ ܕܫܘܐ̈ܠܐ (ܟܡܐ ܣܒ̈ܠܬܐ) + ܫܒ̈ܝܠܐ (paths) | ܡܘܕܝܠ ܕܫܘܝ̈ܘܬܐ ܒܢܝܢܝ̈ܬܐ (structural equation modeling, SEM) |
| ܡܨܥܝܘܬܐ (mediation) – X ܟܡܥܒܕ ܥܠ Y ܒܝܕ M، ܐܝܡܢ ܕܟܠ ܚܕ ܡܫܝܚܐ ܝܠܗ ܒܟܡܐ ܦܣܘ̈ܩܐ (items) | ܦܣܘ̈ܩܐ (items) ܕܦܢܩܝܬܐ ܕܫܘܐ̈ܠܐ (ܟܡܐ ܣܒ̈ܠܬܐ) + ܫܒ̈ܝܠܐ (paths) | ܡܨܥܝܘܬܐ ܒܝܢܝ ܥܠ̈ܠܬܐ ܟܣ̈ܝܬܐ (latent mediation) |
| ܐܢ ܦܢܩܝܬܐ ܕܫܘܐ̈ܠܐ (questionnaire) ܟܡܫܚܐ ܗܘ ܡܕܡ ܓܘ ܟܡܐ ܓܘ̈ܕܐ، ܘܒܡܘܕܝ ܓܘ̈ܕܐ ܦܪ̈ܝܫܐ ܝܢܐ | ܦܣܘ̈ܩܐ (items) ܕܦܢܩܝܬܐ ܕܫܘܐ̈ܠܐ + ܕܓܢ̈ܣܐ (2+ ܓܘ̈ܕܐ) | ܦܘܚܡܐ ܕܓܘ̈ܕܐ ܘܠܐ ܡܫܬܚܠܦܢܘܬܐ ܕܡܫܘܚܬܐ (multigroup comparison and measurement invariance) |
| ܐܢ ܡܦܢܝ̈ܢܐ (respondents) ܟܡܬܦܠܓܝ ܠܙܢ̈ܐ ܕܠܐ ܣܝܡ̈ܐ ܝܢܐ ܡܢ ܩܕܡ | ܟܡܐ ܡܫܬܚܠܦ̈ܢܐ ܟܡܝ̈ܝܐ (quantitative variables; ܡܢܝ̈ܢܐ ܕܣܒ̈ܠܬܐ) | ܦܘܫܩܐ ܕܥܢܩܘ̈ܕܐ (cluster analysis) |
| ܐܢ ܦܣܘ̈ܩܐ (items) ܕܣܒܠܬܐ (scale) ܟܡܫܚܝ ܚܕ ܡܕܡ | ܦܣܘ̈ܩܐ (items) ܕܦܢܩܝܬܐ ܕܫܘܐ̈ܠܐ (questionnaire) | ܐܠܦܐ ܕ-Cronbach (Cronbach's alpha) ܘܡܢܝܢܐ ܕܣܒܠܬܐ (scale score) |
| ܥܕܡܐ ܟܡܐ ܪܡܙ̈ܢܐ (coders) ܟܫܠܡܝ ܥܡ ܚܕ̈ܕܐ | ܪ̈ܡܙܐ ܕܟܡܐ ܪܡܙ̈ܢܐ (coders) | ܩܐܦܐ ܕ-Cohen (Cohen's kappa) / ܐܠܦܐ ܕ-Krippendorff (Krippendorff's alpha) |
ܡܥܝܪܢܘܬܐ. "ܟܡܝܝܐ" (quantitative) – ܡܢܝܢܐ ܕܣܒܠܬܐ (scale score)، ܥܘܡܪܐ، ܫܥ̈ܐ؛ "ܕܓܢ̈ܣܐ" (categorical) – ܓܘܕܐ، ܓܢܣܐ (gender)، ܦܘܢܝܐ ܡܢ ܪܫܝܡܬܐ. ܦܣܘܩܐ (item) ܝܚܝܕܝܐ ܕܕܪܓܐ (1-5) ܓܘ ܣܐܝܛ ܡܬܚܫܒ ܝܠܗ ܡܫܬܚܠܦܢܐ ܕܛܟܣܐ (ordinal variable) – Spearman ܘܛܝܡܐ ܡܨܥܝܐ (median)؛ ܡܢܝܢܐ ܕܣܒܠܬܐ ܕܦܣܘ̈ܩܐ ܣܓܝ̈ܐܐ (multi-item scale) – ܡܫܬܚܠܦܢܐ ܕܪܘ̈ܚܩܐ ܫܘ̈ܝܐ (interval variable). ܬܚܘܝܬܐ ܓܡܝܪܬܐ ܓܘ ܦܐܬܐ ܕܡܫܬܚܠܦ̈ܢܐ ܘܕܪ̈ܓܐ ܕܡܫܘܚܬܐ.