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Your first analysis

Walks through opening a CSV, exploring it, running a t-test, and exporting the result.

1. Open the file​

File → Open Data File... (or Ctrl+O). Pick survey.csv (or any file with a numeric outcome and a binary group).

2. Inspect​

  • Data View shows the raw rows.
  • Switch to Variable View: confirm the outcome is numeric with measure scale, and the grouping is string or nominal.

3. Run an Independent Samples T-Test​

Menu: Analyze → Compare Means → Independent Samples T-Test.

  • Pick score (or whatever your outcome is) as the Dependent Variable.
  • Pick gender (or another binary variable) as the Grouping.
  • Leave "Levene's homogeneity test" and "Cohen's d" checked.
  • Click OK.

A formatted result lands in the Output zone:

  • t statistic, df, two-tailed p
  • Mean difference and its 95% CI
  • Cohen's d effect size (with size interpretation)
  • Levene's test for equality of variances

4. Visualise​

  • Graphs zone → Chart Type: Box Plot → X = score, Group By = gender → Generate.
  • Click the PNG button in the chart toolbar for a 300 dpi export.

5. Export​

File → Export Full Report... produces an HTML / Markdown / LaTeX report with the t-test table and box plot already laid out.