Can you do a t-test when one group size is much smaller than the other? You can…but it may be wrong. We will explore the implications of unequal sample sizes on a t-test (although this applies to an ANOVA or other multivariate test, as well. We will learn about when heterogeneity of variances is a problem (and when it is not), the implications for power analysis, and the new t-test that can address the problem of heteroscedasticity (Welch’s t-test). You will learn where to find Welch’s t-test in SPSS.
This video teaches the following commands and techniques:
Welch’s t-test
Unbalanced Research Design
Heteroscedasticity
Link to video about randomly selecting a sample from a population of scores in SPSS: [ Ссылка ]
Link to a Google Drive folder with all of the files that I use in the videos including the Bear Handout and datasets. As I add new files, they will appear here, as well.
[ Ссылка ]
