Correlations
Pearson correlations with 95% confidence intervals, Holm-adjusted p-values, Spearman checks, and an APA-style correlation table.
PREMIUM R MARKDOWN WORKFLOW · VERSION 1.0.0
The analyses most
dissertations need.
Correlations, t tests, ANOVA, chi-square, and hierarchical regression, each run the defensible way with effect sizes, confidence intervals, a rank-based check, APA-style tables, and results text that updates with your data.
One-time purchase · Individual-use license · Secure digital delivery
Effect sizes, not just p-valuesEvery test reports an effect size with a 95% confidence interval.
Defensible defaultsWelch tests, Type III sums of squares, and Fisher's exact test when counts are small.
Report dynamicallyAPA-style tables and results text follow the data.
WHAT IS INSIDE
One workflow. Seven core analyses.
Two synthetic studies share one analysis plan: a psychology well-being intervention and an education teacher survey. Switch between them with one setting, then map your own variables to the same roles.
Two independent groups
Welch and Student t tests with Hedges' g, plus the Mann–Whitney test with the rank-biserial correlation.
Paired change
Paired t test with dz and dav, plus the Wilcoxon signed-rank test.
Three or more groups
Welch and classic one-way ANOVA with omega squared, post hoc comparisons, and the Kruskal–Wallis test.
Two factors
Factorial ANOVA with Type III tests, partial effect sizes, estimated marginal means, and simple effects.
Categorical association
Chi-square with expected counts, standardized residuals, and Cramér's V, switching to Fisher's exact test when counts are small.
Hierarchical regression
ΔR² and F change across blocks, standardized β, squared semipartial correlations, and diagnostics.
DESIGNED FOR THE CORE OF A RESULTS CHAPTER
Start with the question, then the test.
This workflow is useful when:
- Your research questions call for correlations, group comparisons, or tests of association.
- You need effect sizes and confidence intervals alongside p-values.
- Your committee expects APA-style tables and a clear rationale for each test.
- You want to know whether a block of predictors adds explanation beyond another.
It covers independent observations and one pre/post measurement. Mediation and moderation, clustered data, more than two waves, and non-continuous regression outcomes are covered by other workflows.
OUTPUT-ONLY PUBLIC PREVIEW
Explore the complete worked example.
The preview shows the psychology example's results, figures, and interpretation. The paid version includes all editable source, the education example, and the synthetic-data generator. Source code and session information are omitted from the public preview.
YOUR DIGITAL DOWNLOAD
Run it.
Then adapt it.
The version 1.0.0 ZIP includes everything needed to reproduce both worked examples and apply the plan to your own de-identified data.
- Complete editable R Markdown and generator
- Psychology and education synthetic datasets with a data dictionary
- Seven analyses with effect sizes, rank-based checks, and APA-style tables
- Diagnostic, assumption, and multiple-comparison guidance
- Dynamic results text and reporting checklist
- Setup, generation, license, and version documentation
VERSION 1.0.0
Complete workflow.
$39 one time.
Pay securely and receive the version 1.0.0 ZIP with the editable analysis, synthetic data, documentation, and rendered report.
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