Statistics Guides
Practical guides on statistical analysis methods, APA reporting format, and choosing the right test.
ANOVA vs Kruskal-Wallis: When to Use Which Test
A detailed comparison of one-way ANOVA and the Kruskal-Wallis H test for comparing three or more groups. Learn when to choose parametric vs nonparametric, with side-by-side examples and decision criteria.
2026-02-19
How to Report Chi-Square Results in APA Format
Step-by-step guide to reporting chi-square test results in APA 7th edition format. Includes independence test, goodness-of-fit, and Fisher's exact test examples.
2026-02-19
Chi-Square Test vs Fisher's Exact Test — Which Should You Use?
A comprehensive comparison of the Chi-square test of independence and Fisher's exact test. Learn when to use each test, understand expected frequency rules, and see worked examples with StatMate calculators.
2026-02-19
How to Calculate Sample Size for Your Study — A Step-by-Step Power Analysis Guide
Learn how to determine the right sample size for your research using power analysis. This guide covers effect size, significance level, statistical power, and practical examples with StatMate's sample size calculator.
2026-02-19
How to Run a One-Way ANOVA: Step-by-Step Guide (With Post-Hoc Tests)
A complete step-by-step guide to performing one-way ANOVA, from checking assumptions to running Tukey's post-hoc test. Includes a worked example with real data.
2026-02-19
How to Run a Chi-Square Test of Independence: Step-by-Step Guide
Learn how to perform a chi-square test of independence step by step. Covers setting up contingency tables, calculating expected frequencies, interpreting results, and checking assumptions.
2026-02-19
How to Run Correlation Analysis: Step-by-Step Guide (Pearson & Spearman)
A complete step-by-step guide to performing Pearson and Spearman correlation analysis. Learn when to use each method, how to calculate and interpret correlation coefficients, and common pitfalls to avoid.
2026-02-19
How to Run Exploratory Factor Analysis (EFA) — Step-by-Step Guide
Learn how to perform Exploratory Factor Analysis from start to finish. This guide covers data suitability checks, factor extraction, rotation, and interpreting factor loadings with a practical example.
2026-02-19
How to Run Logistic Regression: Step-by-Step Guide
Learn how to perform binary logistic regression from checking assumptions to interpreting odds ratios. Includes worked examples with real data, model diagnostics, and practical tips for researchers.
2026-02-19
How to Run a Mann-Whitney U Test — A Complete Step-by-Step Guide
Learn how to perform the Mann-Whitney U test, the non-parametric alternative to the independent samples t-test. This guide covers when to use it, assumptions, step-by-step calculation, and result interpretation with StatMate.
2026-02-19
How to Run Simple Linear Regression: Step-by-Step Guide
A complete step-by-step guide to performing simple linear regression analysis. Learn how to fit a regression line, check assumptions, interpret coefficients, and assess model fit with a worked example.
2026-02-19
How to Run Repeated Measures ANOVA: Step-by-Step Guide
A complete walkthrough of repeated measures ANOVA, from checking sphericity to running post-hoc pairwise comparisons. Includes example data, calculations, and interpretation guidance.
2026-02-19
How to Run a T-Test: Step-by-Step Guide (Independent & Paired)
Learn how to run independent samples and paired samples t-tests step by step, from checking assumptions to interpreting results. Includes worked examples with real numbers.
2026-02-19
When to Use Nonparametric Tests: A Practical Guide
Learn when to choose nonparametric tests over parametric alternatives. Covers Mann-Whitney U, Wilcoxon, Kruskal-Wallis, and Friedman tests with real examples.
2026-02-19
Paired T-Test vs Wilcoxon Signed-Rank Test: A Practical Comparison
Understand when to use the paired t-test versus the Wilcoxon signed-rank test for paired samples. Includes assumption checks, worked examples with the same dataset, and guidelines for choosing between them.
2026-02-19
How to Report Regression Results in APA Format (With Examples)
Learn how to report simple linear regression and multiple regression results in APA 7th edition format, including R², F-statistic, unstandardized and standardized coefficients, and coefficients tables with worked examples.
2026-02-19
Reliability Analysis and Cronbach's Alpha — A Practical Guide for Researchers
Learn what reliability means in research, how Cronbach's alpha measures internal consistency, how to interpret alpha values, and how to use item-total correlations and alpha-if-deleted diagnostics to improve your scales.
2026-02-19
Simple vs Multiple Regression: When to Use Each
A comprehensive comparison of simple linear regression and multiple regression. Learn about model selection, multicollinearity, adjusted R-squared, and when adding predictors helps versus hurts your model.
2026-02-19
t-Test vs Mann-Whitney U Test — When to Use Which and Why It Matters
A detailed comparison of the independent samples t-test and the Mann-Whitney U test. Learn the assumptions, strengths, limitations, and decision criteria for choosing between parametric and non-parametric group comparisons.
2026-02-19
How to Report ANOVA Results in APA Format (With Examples)
Learn how to report one-way ANOVA results in APA 7th edition format, including F statistics, degrees of freedom, partial eta squared, Tukey HSD post-hoc tests, and Welch's F for unequal variances.
2026-02-18
How to Determine Sample Size — A Practical Guide to Power Analysis
How many participants do you actually need? This guide explains statistical power analysis and walks you through sample size calculation for t-tests, ANOVA, correlation, and chi-square tests.
2026-02-18
Understanding Effect Sizes — A Complete Guide to Cohen's d, Eta Squared, and More
Learn why p-values are not enough, how to interpret effect sizes like Cohen's d, eta squared, R², and Cramér's V, and how to report them correctly in APA 7th edition format.
2026-02-18
Which Statistical Test Should I Use? — A Complete Guide for Beginners
Not sure which statistical test to use for your data? This beginner-friendly guide walks you through choosing the right test based on your data type, number of groups, and research design.
2026-02-17
Correlation vs Regression — When to Use Which?
Understand the key differences between correlation and regression analysis, when each is appropriate, and how to interpret their results correctly in your research.
2026-02-17
How to Report T-Test Results in APA Format (With Examples)
Learn exactly how to report independent and paired samples t-test results in APA 7th edition format, including effect sizes, degrees of freedom, and common mistakes to avoid.
2026-02-17