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Method of aggregation

To examine the sensitivity of observed Depression x Task x Valence interaction, the data was aggregated using no cutoffs for short or long reaction times, 2 second rt cut-offs and medians rather than the means of reaction times for each person in each condition. Similarly, data may be aggregated using an inverse transformation to weaken the effects of outliers (Ratcliff, 1993). Under each of these transformations the Depression x Task x Valence interaction was statistically significant, and t#tex2html_wrap_inline1484# was similar to that obtained for the 150ms low, 5 second high cutoff condition, as shown in Table 3, p. 76. Moreover, no higher order interactions with depression were present in any other condition, mediating the three way interaction. The inverse transformation condition did yield a statistically significant Depression x ISI x Valence interaction, F(4,67)=2.88, p=0.029,t#tex2html_wrap_inline1486#=0.147, possibly due to the extra weight given to very short rt's which may have been guesses, at lower SD's. In no case were there statistically significant interactions between gender and depression, though, for the median aggregation, a Gender x Task x Valence interaction was statistically significant, F(2,69)=3.53, p=0.035,t#tex2html_wrap_inline1488#=0.093.


 
Table: Statistical Properties of the Depression x Task x Valence Interaction Under Different Methods of Data Aggregation
Aggregation Lower bound Upper bound Hotelling's F(2,69) p t#tex2html_wrap_inline1490#
mean 150ms 5s 4.48 .015 .115
mean 150ms 2s 8.68 <.0005 .199
mean 0ms none 3.28 .044 .087
harmonic mean 0ms none 6.22 .003 .153
median 0ms none 5.38 .007 .153



next up previous contents
Next: Beyond means Up: Sensitivity Analyses Previous: Sensitivity Analyses
Greg Siegle
1999-11-15