Dyadic Data Analysis Workshop, July 25-29, 2016, at Michigan State 

The workshop will focus on analyses for data in which both members of a dyad are measured on the same set of variables. Topics to be addressed include the measurement of nonindependence, the Actor-Partner Interdependence Model, the analysis of distinguishable and indistinguishable dyads, and the analysis of over-time dyadic data (e.g., dyadic growth curve models). The software package used in the workshop will be SPSS. Although the workshop does not require any prior knowledge or experience with multilevel modeling, participants are expected to have a working knowledge of multiple regression and analysis of variance, as well as SPSS. Please see the website for more specific information and a link to the workshop registration:

Rob Ackerman

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