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Levene's Test for Homogeneity of Variance in SPSS: Complete Guide

Levene's Test for Homogeneity of Variance in SPSS: Complete Guide
IBM SPSS Statistics 27 File Edit View Data Transform Analyze Graphs Utilities Compare Means ▶ One-Way ANOVA ▶ Options ▶ ▶ Homogeneity Menü Yolu: Analyze → Compare Means → One-Way ANOVA → Options → Homogeneity Yukarıdaki menü yolunu takip ederek analiz penceresini açın

📸 Levene's test in SPSS — ANOVA Options dialog

What Is Levene's Test?

Levene's test checks whether the variance of the dependent variable is equal across groups — the homogeneity of variance assumption required by ANOVA and independent samples t-test. Unlike Bartlett's test, Levene's test is robust to departures from normality, making it the preferred choice in practice.

Running Levene's Test in SPSS

Step 1: For ANOVA: Analyze → Compare Means → One-Way ANOVA → Options → check Homogeneity of variance test.
Step 2: For independent t-test: run as normal — Levene's test appears automatically in the output.
SPSS Statistics Output Viewer Test of Homogeneity of Variances Levene Statistic df1 df2 Sig. 2.341 2 87 .102 p > .05 → Homogeneity assumption met * p < .05 anlamlı sonuç gösterir

📸 Levene's test output — p>.05 means variances are equal

When Assumption Is Violated

If p<.05: for t-test, report the Welch-corrected t statistic (SPSS provides automatically). For ANOVA, run Welch ANOVA: Analyze → Compare Means → One-Way ANOVA → Options → Welch.

APA Reporting

Levene's test confirmed that the homogeneity of variance assumption was met, F(2, 87)=2.34, p=.102, justifying the use of standard ANOVA.

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