And we have 3 levels, so input 3 into Number of Levels. This will bring up the Repeated Measures Define Factor(s) dialog box.ДЄs we noted above, our within-subjects factor is time, so type вЂњtimeвЂќ in the Within-Subject Factor Name box. To start, click Analyze -> General Linear Model -> Repeated Measures. This is what weвЂ™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 вЂ“ or, to adopt the terminology of ANOVA, the within-subjects factor вЂ“ 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 weвЂ™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 вЂњstudyвЂќ as it appears in the SPSS Data View. Press the OK button, and your result will pop up in the Output Viewer Click Options, and tick the Descriptive statistics and Estimate of effect size boxes, and then click Continue.Hit Define, and then drag and drop (left to right) a variable for each of the levels you specified (taking care to preserve their correct order).Name your Within-Subject factor, specify the number of levels, then click Add.Click Analyze -> General Linear Model -> Repeated Measures.

Writing sas code for repeated measures