APA Style Results Reporting Generator
(Your result will appear here)
Effortlessly write APA-style statistical results. Perfect for students, researchers, and professionals, this tool formats your test results to meet APA 7th Edition standards.
Free Version
Covers core test types (t-tests, ANOVA, correlations, chi-square), with support for p-values, effect sizes, and optional means/SDs. Automatically formats results for copy/paste into reports.
PRO Version
Upgrade for full flexibility. Gain CI reporting, regression model output, directional toggles, effect size interpretation (e.g., small/large), intro sentence control, and a streamlined interface for rapid entry and polished results.
Feature | Free Version | Pro Version |
---|---|---|
Supports APA 7th Edition style | ✅ | ✅ |
Common statistical test types (t-test, ANOVA, correlation, chi-square) | ✅ | ✅ |
Effect size and p-value reporting | ✅ | ✅ |
Input for means and standard deviations | ✅ | ✅ |
Directional interpretation for t-test / ANOVA | Limited | ✅ Toggle with checkboxes |
One-tailed vs Two-tailed option | ✅ | ✅ |
Confidence interval reporting | ❌ | ✅ |
Regression model support | ❌ | ✅ Full reporting including predictors |
Effect size interpretation (e.g., small/large) | ❌ | ✅ |
Initial intro sentence toggle | ❌ | ✅ |
Dynamic field display (based on test type) | ✅ | ✅ (refined UX/UI) |
Copy to clipboard (APA-formatted) | ✅ | ✅ |
Generate APA-style statistical result statements for t-tests, ANOVAs, correlations, and chi-square tests. Automatically format p-values, degrees of freedom, effect sizes, and significance statements. Optional descriptive statistics reporting (means and SDs). Perfect for psychology students writing lab reports, dissertations, and journal articles.
Disclaimer
This tool is designed to assist psychology students and researchers with APA styling. While we strive for accuracy, the output provided is for guidance purposes only.
The creators of this tool are not responsible for decisions made based on its output. Always ensure your work aligns with the requirements of APA academic or professional standards.
Frequently Asked Questions
What does this results reporting tool do?
This tool automatically generates APA 7th edition–compliant result statements for statistical tests like t-tests, ANOVAs, correlations, and chi-square. You enter your values (e.g., t, df, p, means, SDs), and it produces a sentence formatted for lab reports, theses, or journal articles.
Which test types are supported?
The tool supports:
t-tests (independent, paired)
ANOVA (one-way, factorial, repeated-measures)
Pearson correlation
Chi-square (goodness-of-fit and test of independence)
Support for more test types may be added in future updates.
Can I include effect sizes and descriptive statistics?
Yes. You can optionally add:
Effect size values (e.g., Cohen’s d, η²)
Means and standard deviations for each group
The generator incorporates these into the sentence in APA format automatically.
What kind of APA formatting does the tool apply?
The output includes:
Italicized statistical symbols (e.g., t, p, df)
Rounded values to APA precision rules
Correct placement of commas and parentheses
Significance indicators (e.g., p < .05)
Can I use this for undergraduate or graduate work?
Yes — this tool is ideal for:
Psychology undergrad lab reports
Master’s dissertations
Experimental write-ups
Journal article drafts
It simplifies writing but assumes you already have accurate test results.
Does this tool calculate the statistics for me?
No. It does not compute t-tests or p-values — you must enter the output from your stats software (e.g., SPSS, JASP, Jamovi, R). This tool only formats the reporting syntax.
Can I copy the result into Word or Google Docs?
Yes. Click “Copy Result” and paste directly into your Results section. Most formatting (italics, spacing) will carry over automatically.
Does the tool round values correctly for APA style?
Yes. The tool follows APA 7th edition precision rules, including:
p-values rounded to 2–3 decimal places
Leading zero suppression for p (e.g., p = .03, not 0.03)
Appropriate rounding of test statistics and effect sizes