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The actor-partner interdependence model for longitudinal dyadic data : an implementation in the SEM framework

Fien Gistelinck (UGent) and Tom Loeys (UGent)
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Abstract
In dyadic research, the actor-partner interdependence model (APIM) is widely used to model the effect of a predictor measured across dyad members on one's own and one's partner outcome. When such dyadic data are measured repeatedly over time, both the non-independence within couples and the non-independence over time need to be accounted for. In this paper, we present a longitudinal extension of the APIM, the L-APIM, that allows for both stable and time-varying sources of non-independence. Its implementation is readily available in multilevel software, such as proc mixed in SAS, but is lacking in the structural equation modeling (SEM) framework. We tackle the computational challenges associated with its SEM-implementation and propose a user-friendly free application for the L-APIM, which can be found at . As an illustration, we explore the actor and partner effects of positive relationship feelings on next day's intimacy using 3-week diary data of 66 heterosexual couples.
Keywords
Modelling and Simulation, General Economics, Econometrics and Finance, General Decision Sciences, Sociology and Political Science, Mathematics, Mathematical Methods In Social Sciences, Mathematics, Interdisciplinary Applications, Social Sciences, Mathematical Methods

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MLA
Gistelinck, Fien, and Tom Loeys. “The Actor-Partner Interdependence Model for Longitudinal Dyadic Data : An Implementation in the SEM Framework.” STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, vol. 26, no. 3, 2019, pp. 329–47.
APA
Gistelinck, F., & Loeys, T. (2019). The actor-partner interdependence model for longitudinal dyadic data : an implementation in the SEM framework. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 26(3), 329–347.
Chicago author-date
Gistelinck, Fien, and Tom Loeys. 2019. “The Actor-Partner Interdependence Model for Longitudinal Dyadic Data : An Implementation in the SEM Framework.” STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL 26 (3): 329–47.
Chicago author-date (all authors)
Gistelinck, Fien, and Tom Loeys. 2019. “The Actor-Partner Interdependence Model for Longitudinal Dyadic Data : An Implementation in the SEM Framework.” STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL 26 (3): 329–347.
Vancouver
1.
Gistelinck F, Loeys T. The actor-partner interdependence model for longitudinal dyadic data : an implementation in the SEM framework. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL. 2019;26(3):329–47.
IEEE
[1]
F. Gistelinck and T. Loeys, “The actor-partner interdependence model for longitudinal dyadic data : an implementation in the SEM framework,” STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, vol. 26, no. 3, pp. 329–347, 2019.
@article{8602563,
  abstract     = {{In dyadic research, the actor-partner interdependence model (APIM) is widely used to model the effect of a predictor measured across dyad members on one's own and one's partner outcome. When such dyadic data are measured repeatedly over time, both the non-independence within couples and the non-independence over time need to be accounted for. In this paper, we present a longitudinal extension of the APIM, the L-APIM, that allows for both stable and time-varying sources of non-independence. Its implementation is readily available in multilevel software, such as proc mixed in SAS, but is lacking in the structural equation modeling (SEM) framework. We tackle the computational challenges associated with its SEM-implementation and propose a user-friendly free application for the L-APIM, which can be found at . As an illustration, we explore the actor and partner effects of positive relationship feelings on next day's intimacy using 3-week diary data of 66 heterosexual couples.}},
  author       = {{Gistelinck, Fien and Loeys, Tom}},
  issn         = {{1070-5511}},
  journal      = {{STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL}},
  keywords     = {{Modelling and Simulation,General Economics,Econometrics and Finance,General Decision Sciences,Sociology and Political Science,Mathematics,Mathematical Methods In Social Sciences,Mathematics,Interdisciplinary Applications,Social Sciences,Mathematical Methods}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{329--347}},
  title        = {{The actor-partner interdependence model for longitudinal dyadic data : an implementation in the SEM framework}},
  url          = {{http://dx.doi.org/10.1080/10705511.2018.1527223}},
  volume       = {{26}},
  year         = {{2019}},
}

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