ACTOR-PARTNER INTERDEPENDENCE MODEL
The focus of this study is the investigation of the effect of Other Positivity on Satisfaction. Both the effect of own Other Positivity (actor) and the effect of partner's Other Positivity (partner) on Satisfaction are studied. There are a total of 148 dyads and no missing data. The total number of individuals is 296. The means and standard deviations are presented in Table 1.
The actor effect is equal to .420 and is statistically significant (p < .001), with a medium effect size (Beta = .324). The partner effect is equal to .292 and is statistically significant (p < .001), with a small effect size (Beta = .226). A summary of actor and partner effects is contained in Table 2. The intraclass correlation is equal to .461. Thus, the two members of the dyad are similar to one another. The pseudo R squared (Kenny, Kashy, & Cook, 2006) is equal to .185. There is evidence for "couple model" (Kenny & Cook, 1999) in that the actor and partner effects are not significantly different. It may make sense to sum or average the two Other Positivity scores.
The actor-partner interaction is equal to -.286 and is not statistically significant (p = .106). The partner effect for persons who are one standard deviation above the mean on Other Positivity is .155 and for persons who are one standard deviation below the mean on Other Positivity is .440. Alternatively, the effect of the absolute difference of the two members on Other Positivity is equal to -.029 and is not statistically significant (p = .801). Thus, if two members have the same score on Other Positivity, their score on Satisfaction is .029 units higher than it is for a dyad whose scores on Satisfaction differ by one unit. There is then not evidence of an actor-partner interaction.
Table 1: Descriptive Statistics
Variable Mean Standard Deviation
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Other Positivity .000 .498
Satisfaction 3.598 .646
Table 2: Effect Estimates
Effect Coefficient Beta df p value
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Actor .420 .324 274.4 <.001
Partner .292 .226 274.4 <.001
References
Kenny, D. A., & Cook, W. (1999). Partner effects in relationship research: Conceptual issues, analytic difficulties, and illustrations. Personal Relationships, 6, 433-448.
Kenny, D. A., Kashy, D. A., & Cook, W. (2006). Dyadic data analysis. New York: Guilford.