Skip to content
phdguide

t-test

Statistics & analysis

Definition

A test comparing means — of two groups (independent-samples), two related measurements (paired-samples) or one sample against a known value (one-sample) — on a continuous outcome.

All three forms share the same logic: how large is the mean difference relative to the variability in the data? The independent form assumes approximate normality per group and (checked via Levene's test) equal variances; SPSS prints a corrected row when variances differ.

Report the t statistic, degrees of freedom, p-value and Cohen's d — a significant t-test with a trivial effect size is a statistically detectable but practically unimportant difference.

Where it's used

  • Comparing job satisfaction between two genders
  • Before/after comparison of a training intervention
  • Testing a sample mean against a scale midpoint or benchmark

Software used

SPSSRPythonJASPjamovi

Not sure where to start?

Book a free 15-minute consult. We'll map your next three steps — no obligation.

Ethical, compliant guidance

We provide academic support, mentoring, analysis, editing and structuring — not authorship. Your work stays compliant with university policies.