Analysis of Variance With Repeated Measures.By now you are most likely comfortable with the concept of one-way and multi-way ANOVA, yet you have only been exposed to data that are independent. Many research scenarios wish to test for a difference in means across time.
For example, imagine an experiment where you subject a group of the same subjects to a different stimulus at different time points. Alternately, your Instructor may wish to examine the class’ mean level of statistics anxiety at the beginning, middle, and end of the course.
Because you are measuring the same subjects over time, your data are dependent and therefore you need a statistical test that will take this dependency into consideration. You could run multiple paired sample t tests but that would not only be inefficient, it would introduce the possibility of a type I error. The repeated measures ANOVA allows you to compare three or more means on dependent data without using multiple t tests.
This week you practice using the repeated measures ANOVA and critique an article that uses this method
• Apply analysis of variance with repeated measures to a dataset
• Analyze analysis of variance with repeated measures in a dataset
• Apply statistical software to analyze data
• Critique research studies that apply analysis of variance with repeated measures
Assignment 1: Repeated Measures ANOVA in SPSS
Earlier this week, you practiced using repeated measures ANOVA models with SPSS and, ideally. In this Assignment, you apply what you learned to answer a social research question using Repeated Measures ANOVA.
To prepare
• Review the datasets provided.
• Construct a research question based on one of those datasets.
• Pay attention to the assumptions of this test, and ask, “Does it make sense to interpret the mean of this dependent variable?”
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