Dyadic Data Analysis Workshop, June 17-21, 2019, at Michigan State University
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 (a basic introduction to this analytic approach will be included during the workshop), participants are expected to have a working knowledge of multiple regression and analysis of variance, as well as SPSS.
Please see the Dyadic Data Analysis Workshop webpage for more specific information and a link to the workshop registration.