From descriptive statistics and normality checks to advanced regression, MANOVA, and factor analysis in SPSS, R, and Stata.
In quantitative research, selecting the right parametric or non-parametric test based on data distribution and measurement scales is essential for peer-review acceptance. At Metoda, every statistical assumption is rigorously verified and reported APA-style.
Stata / SPSS — OLS Fit & 95% CIAPA 7th
Parametric & Non-Parametric
Mean Comparison Tests (t-test, ANOVA, ANCOVA, MANOVA)
Comparing independent or paired groups while controlling covariates, including Tukey/Bonferroni post-hoc tests and non-parametric equivalents (Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman).
Required Data & Inputs
Dataset in Excel or SPSS, definition of grouping (independent) and outcome variables.
Dedicated Software
SPSSRStataJASPMinitab
What You Receive (Deliverables)
Descriptive tables, Shapiro-Wilk & Levene’s tests, main hypothesis table, effect sizes (η², Cohen’s d), and APA confidence plots.
Modeling continuous, binary, ordinal, or count outcomes with full diagnostics for autocorrelation (Durbin-Watson), heteroskedasticity, and multicollinearity (VIF).
Required Data & Inputs
Cross-sectional or longitudinal dataset specifying dependent, independent, and control variables.
Uncovering latent factor structures via KMO/Bartlett tests, Varimax/Promax rotations, and validating scales with Cronbach’s alpha, CR, and McDonald’s Omega.
Required Data & Inputs
Raw questionnaire responses and item list (indicating reverse-coded items if any).
Dedicated Software
SPSSAMOSLISRELR (lavaan)
What You Receive (Deliverables)
Factor loading matrices, Scree plot, explained variance table, CFA fit indices, and convergent/discriminant validity report.
Time-to-event modeling via Kaplan-Meier curves and Cox proportional hazards regression, plus multilevel linear/generalized mixed models for nested data.
Required Data & Inputs
Follow-up time variable, censoring/event indicator, and predictors.