SPSS Statistical Output Interpreter

Pro v1.0.0 1 view

Interpret statistical output from SPSS, R, Python, or Stata. Explains each statistic in plain language, generates APA-formatted results, and calculates missing effect sizes.

What You Get

Transform confusing statistical tables into publication-ready APA results with plain-language explanations, calculated effect sizes, and guidance on what to report versus ignore.

The Problem

Researchers and students struggle to interpret statistical software output. They don't know which numbers to report, how to format results for APA style, when effect sizes are missing, or what assumption test results mean for their analysis.

The Solution

This skill parses statistical output from SPSS, R, Python, or Stata to identify the test type, explain each table in plain language, calculate missing effect sizes, generate APA 7th edition formatted results sentences, and identify common reporting mistakes specific to each test type.

How It Works

  1. 1 Identify test type and variant from output structure (t-test, ANOVA, regression, etc.)
  2. 2 Interpret descriptive statistics, assumption tests, and main results in plain language
  3. 3 Calculate effect sizes (Cohen's d, eta-squared, R²) when missing from output
  4. 4 Generate APA 7th edition formatted results sentences ready for manuscripts
  5. 5 List what to report vs. ignore and common mistakes to avoid for that test type

What You'll Need

  • Statistical output from SPSS, R, Python (statsmodels/scipy), or Stata
  • Complete output including all relevant tables (descriptives, assumption tests, main results, post-hoc if applicable)

Get This Skill

Requires Pro subscription ($9/month)

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