Presentation on theme: "Actor-Partner Interdependence Model or APIM David A"— Presentation transcript:
1Actor-Partner Interdependence Model or APIM David A Actor-Partner Interdependence Model or APIM David A. Kenny University of Connecticut
2APIMA model that simultaneously estimates the effects one's own characteristics and one's partner's characteristics on an outcome variableData Requirementstwo variables, X and Y, and X causes or predicts YBoth members of the dyad have scores on X and Y
3Actor EffectDefinition: The effect of a person’s X variable on that person’s Y variableExample: the effect of one's depression on one's quality of lifeBoth members of the dyad have an actor effect
4Partner EffectDefinition: The effect of a person’s partner’s X variable on the person’s Y variableExample: the effect of partner's depression on quality of lifeBoth members of the dyad have a partner effect
5APIM Diagram Person 1's Depression Person 1's Quality of Life Actor for Person 1Person 1'sQuality of LifePartner from 2 to 1Partner from 1 to 2Person 2'sDepressionPerson 2'sQuality of LifeActor for Person 2The partner effect is fundamentally dyadic, but a common convention is to refer to it by the outcome variable. So "Partner from 2 to 1" would be called the "partner effect for person 1."
6The APIM and Health Research Consider romantic couplesEach member either diagnosed (D) or undiagnosed (U)Four major designsDUUUDDUU, DU, and DD
7DU Studies: Some Examples Kim et al. (2008): the influence of psychological stress on life quality among mothers with cancer and their adult care giving daughtersHong et al. (2005): the association between the provision and receipt of social support in cardiac patients and their spouses Mellon et al. (2007): factors associated with the fear of cancer-recurrence in cancer survivors and their caregiversKershaw et al. (2008): effect of stress on coping in prostate cancer patients and their spousesDorros et al. (2010): effect of depression on health in women with breast cancer and their partners
8Key Questions in DU Studies Almost always there are mean differences on Y between D and U, but also important are differences in actor effects and especially between partner effects, i.e., measuring bidirectional influence.Important to test for asymmetry in:Y interceptsActor effectsPartner effectsError variances in Y
9UU Studies Health Promotion Studies Some Examples Key question Dickerson & Kemeny (2004): effect of stress on cortisol levelsKlumb et al. (2006): effect of housework on cortisol levelsButterfield & Lewis (2002): effect of tactics on health-related behaviorsKey questionPresence of partner effects
10DD StudiesExample: Knoll et al. (2009): Effects of stress on depression in couples undergoing assisted reproduction treatment.Key question: Partner effectsStudy would benefit by having a UU control group to see if effects are stronger or weaker in DD vs. UU couples.
11UU, DU, and DD Studies Some Examples Key questions Hoff et al. (2009) conducted studies of gay men in which one, both, or neither member was HIV positive.McMahon et al. (2007) studied gay men where one member, both members, or neither member was diagnosed with hepatitis C.Key questionsWhat is the effect of Disease on the behaviors and perceptions of person and their partner.Couple type as a moderator
12Not Discussed Distinguishability Statistical estimation of the APIM Actor-partner interactionsOver time studiesAlternative dyadic models
13APIM Work in ProgressTesting Patterns Using k (Kenny & Lederman, 2010; Journal of Family Psychology)Mediation (Lederman, Macho, & Kenny, 2011; Structural Equation Modeling)Common Fate Model as an Alternative to the APIM (Lederman, & Kenny, under editorial review)Moderation (Garcia, Lederman, & Kenny, in preparation)