Скачать или смотреть Two-Way ANOVA in SPSS - calculation and interpretation

I'll show how to conduct the two-way ANOVA and interpret the results using SPSS statistics.
➡️ Watch next:    • Two-way ANOVA in SPSS - Interaction follow up  


General information:
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The two-way ANOVA is a parametric statistical method that is used when you have two indepedent variables (= factors) and one test variable. This test is used to assess whether the means for the main effects and/or interaction effect are different. The test variable needs to be on the interval or ratio scale.

Within this video I'll show how to test the homogeneity of variances assumption using Levene's test. This is NOT recommended though, as I thoroughly explain throughout. If your group sizes (stemming from factor combinations) are roughly equal, you do not have to worry about the assumption (Field (2018), Discovering Statistics, p. 259).


For example:
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I have two factors (I) gender, II) work experience) and I want to test the mean income for differences across the groups that are a combination of the factor combinations using the two-way ANOVA in SPSS.


Calculating the required sample size:
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🎥    • Two-Way ANOVA - calculate required sample ...  


Checking the normality assumption:
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🎥    • How to test Normality in the Two-way ANOVA...  


Literature
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📚 Caudill, S. B. (1988). Type I Errors after Preliminary Tests for Heteroscedasticity. Journal of the Royal Statistical Society. Series D (The Statistician), 37(1), 65–68. https://doi.org/10.2307/2348380

📚 Field, A. (2018). Discovering statistics using IBM SPSS statistics. sage, p. 259-261

📚 Lantz, B. (2013). The large sample size fallacy. Scandinavian journal of caring sciences, 27(2), 487-492.

📚 Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a world beyond “p◀️ 0.05”. The American Statistician, 73(sup1), 1-19.


⏰ Timestamps:
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0:00 Introduction and Requirements
0:19 Calculation of the two-way ANOVA in SPSS
0:58 Define model and settings
4:30 Descriptive Statistics
4:53 Testing homogeneity of variance
6:35 Interpreting the results of the two-way ANOVA


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