In our case, it just means moving SPQ_Time1, SPQ_Time2 & SPQ_Time3 into the three slots on the right. You can drag and drop, or use the arrow button in the middle of the box. You’ve got to shift your within-subjects variables over to the Within-Subjects Variables box ensuring you maintain the correct order. Click on the Define button, which will bring up the Repeated Measures dialog blox. Okay, it’s now time to set up the within-subjects variables (at the moment SPSS knows that our within-subjects factor has three levels, but it doesn’t know which of our variables corresponds to each level). The dialog box should now look like this. And we have 3 levels, so input 3 into Number of Levels. This will bring up the Repeated Measures Define Factor(s) dialog box.Īs we noted above, our within-subjects factor is time, so type “time” in the Within-Subject Factor Name box. To start, click Analyze -> General Linear Model -> Repeated Measures. This is what we’ll test with a one-way repeated-measures ANOVA. The null hypothesis is that the mean SPQ score is the same for all levels of the within-subjects factor. The independent variable – or, to adopt the terminology of ANOVA, the within-subjects factor – is time, and it has three levels: SPQ_Time1 is the time of the first SPQ assessment SPQ_Time2 is one year later and SPQ_Time3 two years later. The average score for a person with a spider phobia is 23, which compares to a score of slightly under 3 for a non-phobic. The variable we’re interested in here is SPQ which is a measure of the fear of spiders that runs from 0 to 31. This is the data from our “study” as it appears in the SPSS Data View. Press the OK button, and your result will pop up in the Output Viewer
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