The Statistical Test Selection Workbook
Research Made Practical Series

The Statistical Test Selection Workbook

58 Decision Trees and Practical Templates for Selecting and Justifying Any Quantitative Test with Confidence

“Which test do I use?” It is the single most common question asked by graduate students and clinical researchers. You buy expensive, 800-page statistics textbooks that explain the math, but you're still left guessing which button to click in SPSS, R, or Stata.

This workbook is the bridge between statistical theory and analytical execution. It provides a visual, decision-tree approach to test selection, ensuring you choose the right test for your data type, distribution, and research question every single time.

Perfect for: Students conducting quantitative dissertations • Researchers who feel "statistically anxious" • PhD candidates preparing for a defense or peer review • Clinical investigators needing to justify their analytic plan

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Cover of The Sample-Size Justification Kit
Companion kit for this workbook

The Sample-Size Justification Kit

Once you know which test you will run, the next question is how many participants it needs. This kit produces that number and the written case for it.

$12 See the kit

What's Inside

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Eliminate confusion by mapping out the precise types and roles (IV, DV, covariate, moderator) for every variable in your study.

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Assumption Testing Checklists

Step-by-step diagnostic worksheets for normality (Shapiro-Wilk, Q-Q plots), homogeneity of variance (Levene's), linearity, and multicollinearity.

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Output Decoder & Interpretation Templates

Annotated guides for SPSS, JASP, and R showing you exactly which numbers to report for t-tests, ANOVAs, regressions, chi-squares, and their non-parametric alternatives.

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APA 7th Edition Results Templates

Fill-in-the-blank results paragraphs ensuring your final write-up meets strict academic and peer-review publication standards.

Core Templates & Tools Included

  • 58 templates covering decision trees, assumption checklists, and output interpretation guides
  • Effect Size & Power Worksheets: Cohen's d, eta-squared, odds ratios, and G*Power sample size planning
  • The Non-Parametric Emergency Guide: a parallel decision tree for when data fails parametric assumptions
  • Software-specific guides for SPSS, JASP, and R with annotated output screenshots
  • APA 7th Edition fill-in-the-blank results paragraphs for every major statistical test
  • 240+ large-format pages designed for hands-on use alongside your statistical software

Stop guessing which statistical test to use. Start analyzing with confidence.

Companion kits

More kits to use alongside the series

Cover of The Data Cleaning & Codebook Kit With The Research Data Collection & Management Workbook

Data Cleaning & Codebook Kit

The workbook sets up how data is gathered and stored. The kit picks up the moment the raw file exists.

$12See the kit → Cover of The Scoping Review Protocol Kit With The Systematic Review & Meta-Analysis Protocol Workbook

Scoping Review Protocol Kit

The workbook covers systematic reviews and meta-analysis in depth. The kit is the lighter route when you need to chart what exists rather than pool results.

$12See the kit → Cover of The Abstract, Title & Keyword Kit With The Academic Writing & Scholarly Style Workbook

Abstract, Title & Keyword Kit

Use the workbook while drafting the paper; use the kit at the end, for the title, abstract and keywords.

$7See the kit → Cover of The Defence & Viva Kit With The Dissertation & Thesis Workbook

Defence & Viva Kit

Reach for it once the thesis is submitted and the examination date is set.

$15See the kit →

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