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IARR – Crete Modeling Nonindependence: The Actor-Partner Interdependence Model David A. Kenny University of Connecticut

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Presentation on theme: "IARR – Crete Modeling Nonindependence: The Actor-Partner Interdependence Model David A. Kenny University of Connecticut"— Presentation transcript:

1 IARR – Crete Modeling Nonindependence: The Actor-Partner Interdependence Model David A. Kenny University of Connecticut

2 Overview Model Three Brief Examples Estimation Multilevel Modeling (SPSS) Structural Equation Modeling (AMOS)

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6 Mixed Independent Variable Definition X does not equal X for all pairs Or X + X equal the same value for every pair Allows for the estimation of partner effects

7 Types of Dyads Definitions Distinguishable Dyads with a categorical within-dyads variables that makes a difference E. g., parent-child Indistinguishable Ordering of the two members is arbitrary E.g. roommates Whether dyads are distinguishable or not is matter of theoretical and statistical considerations.

8 Actor-Partner Interdependence Model

9 Types of APIM Models actor only a > 0; p = 0 partner only p > 0; a = 0 couple model a = p social comparison model a + p = 0

10 Example 1: Kraemer-Jacklin Study Children in dyads are observed playing Variables X – Gender X – Partner Gender XX – Same vs. Opposite Gender Y – Share toys with partner

11 APIM Effects Actor: Do girls share more than boys? Yes, but the effect is small. Partner: Do children share more when their partner is a girl? Yes and the effect is twice as large as the actor effect. Actor-Partner Interaction: Is there more sharing with same-gendered partners? Not much of a difference.

12 Example 2: Personality and Perceived of Control (Cook) Siblings: one college student and one adolescent Variables Relative age (within dyads) Assertiveness (mixed) Cooperativeness (mixed) Perceived Control (outcome variable)

13 Example 2: Results Gender: no effects Relative age older seen as more powerful Assertiveness positive actor effect negative partner effect Cooperativeness no actor effect positive partner effect

14 Example 3: Perception of Romantic Partners: Measures and Sample Both partners form a perception As perception -- P(A) Each guesses how his or her partners view As guess of how B views the issue -- P(AB) Probability Sample (Acitelli) 248 married couples 90 dating couples

15 Perception of Romantic Partners: Path Model

16 Perception of Romantic Partners: Conclusions Few Gender Differences Few Effects for Married vs. Dating Accuracy and Bias for Each Measure Strength of Effects Varies by Measure

17 Perception of Romantic Partners: Results

18 Dyadic Data Organization l Individual –One record for each individual –Only that individuals data on the record l Dyad (useful for distinguishable dyads) –Each record one dyad –Different variables for each person l Pairwise (useful for indistinguishable dyads) –One record for each person –The persons data and partner data included (each data point included twice)

19 Estimation Indistinguishable members Multilevel Modeling Pairwise Data File Illustrate with SPSS Distinguishable members Structural Equation Modeling Dyad Data File Illustrate with AMOS


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