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The actor–partner interdependence model for categorical dyadic data: A user‐friendly guide to GEE
Author(s) -
LOEYS TOM,
COOK WILLIAM,
DE SMET OLIVIA,
WIETZKER ANNE,
BUYSSE ANN
Publication year - 2014
Publication title -
personal relationships
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.81
H-Index - 83
eISSN - 1475-6811
pISSN - 1350-4126
DOI - 10.1111/pere.12028
Subject(s) - gee , categorical variable , generalized estimating equation , psychology , breakup , partner effects , syntax , structural equation modeling , test (biology) , econometrics , social psychology , statistics , computer science , mathematics , artificial intelligence , paleontology , biology
The actor–partner interdependence model ( APIM ) has been widely used for the analysis of pairs of individuals who interact with each other. The goal of this article is to detail in a nontechnical way how the APIM for binary or count outcomes can be implemented and how actor and partner effects can be estimated using generalized estimating equations ( GEE ) methodology. Both SPSS ‐ and SAS ‐syntax needed to estimate the model and the interpretation of the output are illustrated using data from a study exploring the effect of satisfaction with the relationship before the breakup on unwanted pursuit behavior after the breakup in formerly married partners. The use of this GEE method will allow researchers to test a wide array of research hypotheses.
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