Re: Interpreting results for a Repeated Measures ANOVA

Posted by Sibusiso Moyo on Nov 16, 2006; 5:13pm
URL: http://spssx-discussion.165.s1.nabble.com/Pearson-s-correlations-and-dichotomous-pairs-tp1072140p1072141.html

Dear all,

What is the null hypothesis for a standard REPEATED MEASURES ANOVA?

I have 8 speed of adoption variables and I am trying to test if method 1 is different from 2, etc..up to 8. Or are all eight the same? Some form of a difference of means test.

So is it correct to assume the null hypothesis for this F-Test is jointly:

Ho: M1 = M2 = M3.....= M8
Ha: M1 ne M2 ne M3 ... ne M8.

The results look something like this: Would anyone please help interepret these results? Assuming the assumptions of the model were satisfied?



Tests of Within-Subjects Effects
Measure: MEASURE_1
Source                          Type III Sum of Squares df      Mean Square     F       Sig.
Adoption                Sphericity Assumed      56.111  7       8.016           1.041   .403
                Greenhouse-Geisser              56.111  2.274   24.675  1.041   .365
                Huynh-Feldt                             56.111  2.426   23.125  1.041   .368
                Lower-bound                             56.111 1.000    56.111  1.041   .314
Error(Adoption) Sphericity Assumed      2048.258        266     7.700
        Greenhouse-Geisser                      2048.258        86.412  23.703
        Huynh-Feldt                                     2048.258        92.204  22.214
        Lower-bound                                     2048.258        38.000  53.902


Tests of Within-Subjects Contrasts
Measure: MEASURE_1
Source  Adoption                Type III Sum of Squares df      Mean Square     F       Sig.
Adoption        Linear          1.999                           1       1.999           .104    .748
        Quadratic                       6.692                           1       6.692           1.018   .319
        Cubic                           5.824                           1       5.824           .932    .341
        Order 4                 2.735                           1       2.735           .375    .544
        Order 5                 17.496                  1       17.496  3.249   .079
        Order 6                 16.038                  1       16.038  3.641   .064
        Order 7                 5.327                           1       5.327           1.103   .300
Error(Adoption) Linear  728.158                 38      19.162
        Quadratic       249.881 38      6.576
        Cubic           237.529 38      6.251
        Order 4 277.114 38      7.292
        Order 5 204.665 38      5.386
        Order 6 167.391 38      4.405
        Order 7 183.518 38      4.829