Two-Way ANOVA Using SPSS Statistics – Mastering SPSS




Two-Way ANOVA Using SPSS Statistics

The Two-Way ANOVA is a statistical test used to determine the effect of two nominal predictor variables on a continuous outcome variable. This tutorial provides a step-by-step guide to performing a Two-Way ANOVA using SPSS Statistics.

Step 1: Load Your Data

Begin by opening SPSS Statistics and loading your dataset. Ensure your data is properly formatted, with no missing values. For this example, we have a dataset with two independent variables (IVs) and one dependent variable (DV).

Step 2: Set Up the ANOVA

Navigate to Analyze > General Linear Model > Univariate…. Move your DV to the Dependent Variable box and both IVs to the Fixed Factors box.

SPSS Two-Way ANOVA Setup

Step 3: Configure Options

Click on Options and select Descriptive statistics, Estimates of effect size, and Homogeneity tests. Click Continue and then OK to run the analysis.

Step 4: Interpret the Results

SPSS will produce several tables. Key tables include the Descriptive Statistics table, the Levene’s Test of Equality of Error Variances table, and the Tests of Between-Subjects Effects table.

Descriptive Statistics Table

Group N Mean Std. Deviation
Group 1 30 23.45 4.56
Group 2 30 25.67 5.34

Levene’s Test of Equality of Error Variances

F df1 df2 Sig.
1.234 1 58 0.567

Tests of Between-Subjects Effects

Source Type III Sum of Squares df Mean Square F Sig. Partial Eta Squared
IV1 123.456 1 123.456 4.567 0.034 0.073
IV2 78.910 1 78.910 2.345 0.130 0.039
IV1 * IV2 56.789 1 56.789 1.890 0.175 0.032

Discussion

The Two-Way ANOVA results indicate that IV1 has a significant effect on the DV, F(1, 58) = 4.567, p = .034, η² = .073. However, IV2 does not have a significant effect, F(1, 58) = 2.345, p = .130, η² = .039. Additionally, there is no significant interaction effect between IV1 and IV2, F(1, 58) = 1.890, p = .175, η² = .032.

Conclusion

This tutorial demonstrated how to perform a Two-Way ANOVA using SPSS Statistics. Understanding these steps can help you analyze the impact of two independent variables on a dependent variable, providing valuable insights for your research.

Further Reading

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