YouMind
Sign in
Group Comparison Test Writer

Group Comparison Test Writer

Turns t-test/ANOVA/Chi-square output into APA format

Installed by
2
CategoryResearch
FromYouMind

Showcase

Description

Produces an APA 7-compliant, manuscript-ready Results text from your t-test, ANOVA, or Chi-square test outputs. Uses correct statistical reporting format (t(df)=..., p=..., d=...) and interprets effect size against Cohen's benchmarks. Reminds you to state a multiple comparison correction method when three or more groups are compared. Who it's for: researchers and graduate students running experimental or comparative studies.

Editor's Recommendation
S

Recommended by

Shuting@YouMind

Why we love this skill

Featured for turning raw t-test, ANOVA, and chi-square outputs into publication-ready APA 7 results. It combines precise p-value and effect-size formatting with clear tables, interpretation, and explicit multiple-comparison reporting for studies with three or more groups.

Best for

Researchers and graduate students reporting results from experimental or comparative studies.

How to use this Skill

  1. Provide your input

    Provide your t-test, ANOVA, or chi-square results, including groups, sample sizes, test statistics, p-values, effect sizes, and any post-hoc results.

  2. Run the Skill

    The skill converts your statistical output into APA 7-style reporting and organizes the findings for clear interpretation.

  3. Review your result

    You receive manuscript-ready Results text, a summary table, and an interpretation of the reported effect size.

Related Skills

View all
Research

Statistical Report + Reviewer Objection

Produces a complete Results section from your descriptive + inferential statistics outputs (including assumption tests). If it detects a normality or variance homogeneity violation, it recommends the non-parametric alternative test rather than concealing it. It also pre-identifies at least 4 objections journal reviewers commonly raise (e.g., "assumption tests not reported", "effect size not stated", "no multiple comparison correction applied") and provides a defense sentence for each. Who it's for: researchers working with quantitative methods who want statistical reporting rigor before journal submission.

M
3Free
Research

Validity-Reliability Report Writer

Produces a complete manuscript-ready Methods + Results text from your EFA or CFA analysis outputs (KMO, Bartlett's test, factor loadings, fit indices, Cronbach alpha/CR/AVE). Correctly classifies fit index thresholds (CFI/TLI≥.90, RMSEA≤.08, etc.) and reports validity issues like AVE<0.50 without hiding them. Suitable for: academics and graduate students conducting scale development or adaptation studies.

M
1Free
Research

Descriptive Statistics Writer

Converts the user's descriptive statistics outputs (mean±SD or median(IQR), n(%)) into an academic "Participant Characteristics" paragraph ready to drop into a manuscript, plus a Table 1 formatted table. Selects the correct descriptive statistic (mean±SD vs. median(IQR)) based on normality status and never mixes the two up. Who it's for: graduate students and academics running quantitative research who want to write the manuscript's "Participants" section quickly and correctly.

M
1Free

Information

Version
v2
Last updated
Runtime credits
Usage-based
Models
Auto
Use cases
Writing & contentResearch & analysisLearning & education
What you get
ReportDocument

Ready to create something bolder?

Group Comparison Test Writer