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Hi all,
I am currently dealing with an issue while applying Kenny's Actor-Partner Independence Model with spss mixed models. I am investigating an interaction effect between a binary IV (experimental condition) and a continuous IV(trait curiosity) on closeness felt during a social interaction. I used contrast coding to evaluate the interaction effects and plot them (-1 for a small-talk experimental condition and+1 for an intimacy condition). The syntax looks like this: MIXED close BY condeffcoding WITH Zprecei Zp_precei /FIXED = condeffcoding Zprecei Zp_precei condeffcoding*Zprecei condeffcoding*Zp_precei | SSTYPE(3) /METHOD = REML /PRINT = SOLUTION TESTCOV /REPEATED = sex | SUBJECT(dyad#) COVTYPE(CSH) . close is the DV, a continuous variable. condeffcoding is the binary IV with effects coding Zprecei is the centered personality trait IV (actor effect) Zp_precei is the centered personality trait IV (partner effect) and then there are the interactions The question I have concerns the BY command in the first line of the syntax. This allows for a binary IV with effects coding (-1 for a small-talk condition and +1 for an intimacy condition). I am not sure what spss is doing with the binary variables under the BY command and whether there is any cost to treating it under the WITH command to examine the nature of the interaction. I ask this because an odd thing happened when I looked at the simple effects. Following Aiken and West, I conducted two models with a dummy coded variable for condition. The first model had intimacy=0 and small-talk=1 so I could examine the effects of personality in the intimacy condition. The second model had small-talk=0 and intimacy=1 so I could examine the effects of personality in the small-talk condition. Well, an odd thing happened and I double-checked everything in the dataset. All of the betas, in fact all model parameters, were identical between the contrast effects coded model (1=intimacy) and the dummy coded model when 1=intimacy. This leads me to believe that spss is focusing on 1 when the variable is under the BY command. any help would be incredibly appreciated so I can find the slope and intercept for each group in my model. gratefully, Todd ************************** Todd B. Kashdan, Ph.D. Associate Professor Associate Editor- J of Personality Associate Editor- J of Positive Psychology Department of Psychology George Mason University Mail Stop 3F5 Fairfax, VA 22030 http://mason.gmu.edu/~tkashdan Confidentiality Notice: If you have reason to believe that you are not the intended recipient of this communication, please contact the sender immediately, and delete it from your system. Any unauthorized review, use, disclosure or distribution is prohibited. ******************************************** ===================== 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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