I definitly need your help for evaluating my experiment:
I ran a field experiment in which I designed 5 different groups: 1 Control group (label Treat, coded 0 for control, 1 for any kind of treatment) 2 Factorlevel A (coded 1 for S, 2 for R, and 0 for control) 2 Factorlevel B (coded 1 for L, 2 for H and 0 for control)
I measured post-level of a DV and treat pre-level of this DV as a covariate (v_555_0).
Because this is not a fully crossed design, a nested design approach must be appropriate. First of all, do you think this is a nested design? And if so, how could I handle this in SPSS? I ran: ATASET ACTIVATE DatenSet1. UNIANOVA v_555__1 BY Treat GruppeSR GruppeLH WITH v_555__0 /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(Treat) WITH(v_555__0=MEAN) COMPARE ADJ(BONFERRONI) /EMMEANS=TABLES(GruppeSR) WITH(v_555__0=MEAN) COMPARE ADJ(BONFERRONI) /EMMEANS=TABLES(GruppeLH) WITH(v_555__0=MEAN) COMPARE ADJ(BONFERRONI) /PRINT=HOMOGENEITY /CRITERIA=ALPHA(.05) /DESIGN=v_555__0 Treat GruppeSR(Treat) GruppeLH(Treat).
I cannot run planned contrast, but Bonferroni works. Do you think this is the right procedure? Or do I have to evaluate my design totally different?
Thanks a lot for your help and effort! Benjamin
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