Stats Interpretation Pack
Statistical MethodsFree

Stats Interpretation Pack

Plain-language explanations of your statistical results, ready for the Results section

Free

628 researchers installed this

4.7(3)

About this skill

What it does

Paste your SPSS, R, or Python output and get clear, APA-formatted results write-ups.

Supports

  • t-tests (independent and paired)
  • ANOVA (one-way, factorial, repeated measures)
  • Regression (linear, logistic, hierarchical)
  • Factor Analysis (EFA and CFA)
  • Mediation & Moderation (PROCESS macro output)
  • Non-parametric tests

Output Format

All results are formatted per APA 7th edition guidelines, including:

  • Proper reporting of test statistics
  • Effect size interpretation (Cohen conventions)
  • Confidence interval reporting
  • Sample size and power notes

Bonus

Includes a "reviewer response" template for common statistical critiques.

What researchers say

4.7(3)
陈思雨香港中文大学博士后 · CUHK Postdoc, Education Policy

Quantitative methods were always my weak point. This skill helped me correctly interpret a three-way interaction in my ANCOVA — something I'd been dreading for months. The plain-language explanation it generated was perfect for my Discussion section, and reviewers had no methodological concerns.

刘浩华南师大应用心理学博士生 · SCNU Applied Psychology PhD

SPSS出了结果不知道怎么写进论文里是我最大的痛点。这个技能给的解读模板直接可以放进讨论部分,还会提醒效应量汇报和置信区间,比我导师改稿还仔细。

Li WeiEducation Master's student, PKU

Really helpful for understanding what my SPSS output actually means. Wish it had more on multilevel models, but for standard regression and ANOVA it's excellent.

Free

628 researchers installed this

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About the Creator

Dr. Wei Chen

Dr. Wei Chen

@dr_chen

Quantitative researcher specializing in behavioral psychology. 10+ years building research workflows.

View all skills by Dr. Wei Chen

Details

Category
Statistical Methods
Installs
628
Published
Feb 24, 2026