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Hi all,
I have been presented with an analysis of a 2x2 (2 groups x 2 treatment) crossover design study, based on the syntax provided by SPSS in their knowledgebase (#26277), which I have copied below. The syntax uses the GLM procedure to analyse a model with treatment, order and treatment*order (ie, carryover) effects. The syntax assumes that the dependent measure is taken at baseline, after period 1 and after period 2, and that it is the two difference scores from baseline that are used in the analysis. However, in this analysis the researcher has kept the three separate measures in the analysis rather than converting to change scores. Ie, their syntax starts: GLM baseline placebo treatment BY order ... Am I correct in assuming that by not converting to change scores that the analysis is now actually invalid? In particular I would think that the tests for the period effect and carryover effect would no longer be testing what we are interested in? In anyone able to confirm that? Thanks, Kylie. ------------------------------------------ * The following commands read in a sample data file from a hypothetical crossover design. * There are two levels of the between-subjects factor ORDER: (1) placebo-first and supplement-second; and (2) supplement-first and placebo-second. * There are two dependent variables: (1) PLACEBO, which is the response under the placebo condition; and (2) SUPPLMNT, which is the response under the supplement condition. * Both dependent variables are deviations from each subject's baseline measurement. DATA LIST FREE / order placebo supplmnt . BEGIN DATA 1 -1.0 1.0 1 -0.5 1.0 1 -0.5 0.5 1 -0.5 0.5 1 0.5 1.5 1 0.5 1.0 1 0.5 0.5 1 1.0 1.0 2 -0.5 0.5 2 1.0 1.0 2 0.5 0.5 2 0.0 0.5 2 1.0 1.5 2 1.0 1.0 2 0.5 0.5 2 1.0 1.0 END DATA. FORMATS order placebo supplmnt(F3.1) . * Set up a repeated measures model defining one two-level Within-Subject (WS) factor, named TREATMNT. * PLACEBO and SUPPLMNT are the dependent measures and ORDER is the between-subjects factor. GLM placebo supplmnt BY order /WSFACTOR = treatmnt 2 Polynomial /METHOD = SSTYPE(3) /PLOT = PROFILE( treatmnt*order ) /CRITERIA = ALPHA(.05) /WSDESIGN = treatmnt /DESIGN = order . * There is a significant main effect for TREATMNT, F(1,14) = 16.2, p < .001. * Inspection of the Profile Plot shows that both groups had higher average values for the dependent variable following the supplement condition (TREATMNT = 2) than following the placebo condition (TREATMNT = 1). * The TREATMNT*ORDER interaction is significant, F(1,14) = 5.0, p < .05. * Further inspection of the Profile Plot suggests that subjects in the ORDER = 2 group--for which the supplement condition preceded the placebo condition--showed a higher average response following the placebo condition than did the ORDER = 1 group. * This finding suggests that there was a carryover of benefits from initial administration of the supplement. ------------------------------------------ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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