3) When the “Repeated Measures Define Factor(s)” window pops up, you have a couple options. 2) Then, scroll down to “General linear model” and select “Repeated Measures”. To run a mixed repeated measures ANOVA, follow the steps below: 1) Select “Analyze” from the list of menu options at the top of the screen. We will be running F tests to determine if Statistics Test Anxiety changes over time, and changes at different rates for the two groups. All participants tested on anxiety three times: once at the beginning of class (“begin”), once at midterm (“midterm”), and once during finals week (“final”). Five of the participants are provided with relaxation techniques before the midterm and final examinations (group 1), while the other 5 participants serve as a control group (group 2). In this file, we have data from 10 students, and we want to see if their Statistics Test Anxiety has decreased over the course of a semester. The file we will be using is titled “repeated measures ANOVA within and between example” which includes data from students in a statistics class. In this design you have one or more within-subjects factors (repeated measurement) and one or more between-subjects factors (some sort of treatment or comparison groups). Repeated Measures Mixed ANOVA (One Between- Subjects and One Within-Subjects Factor): SPSS Procedures and Results This file will cover how to run a Mixed Repeated Measures Analysis of Variance (ANOVA), sometimes referred to as a “Split-Plot ANOVA”, using SPSS.
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