ICPR Abstracts: Session 42
Session 42: Workshop
Designing and Carrying Out a Longitudinal Study of
Relationships: Lessons From the PAIR Project
Laura J. Shebilske and Ted L. Huston
The University of Texas, Austin
John P. Caughlin
Renate M. Houts
John Livingston
Anne E. Lucchetti
Sylvia Niehuis
Marika Ripke
Elliot Robins
The purpose of this workshop is to provide an inside look
at the PAIR Project (Processes of Adaptation in Intimate
Relationships), focusing particularly on the rationale
behind how it was conceived and executed. The original
project followed couples from courtship through the early
years of marriage. A follow-up study was carried out in
1994 and 1995, approximately eleven years after the
couples were last studied. The database generated from
the initial project and the follow-up study includes
information pertaining to couples' transition into marriage,
the early years of marriage, and marital satisfaction and
stability. The project was originally designed to pursue a
variety of theoretical ideas, including those derived from
social learning theory, exchange theory, attribution theory,
and theories having to do with roles, compatibility, and
interdependence.
The workshop is designed for social scientists
who are either contemplating a longitudinal study on
relationships, or who are in the early stages of carrying out
such a project. Our goals are twofold: to familiarize
participants with some of the operational details of the
approaches we have taken to collecting data about
relationships; and to share some of the strategies we have
developed to deal with problems that are an inevitable part
of doing longitudinal research. The workshop will be
organized around a series of issues, discussed in the order
in which they arose as the project was carried out. These
issues are as follows: (a) preliminary considerations that
need to be thought through before beginning a longitudinal
study; (b) issues pertaining to collecting longitudinal data;
(c) issues pertaining to the organization and the
management of both quantitative and qualitative data; (d)
setting up quantitative data for doing analyses, (e) creating
case studies that integrate qualitative and quantitative
data; and (f) developing resource materials for writing
papers based on the project.
Mark Baldwin - <baldwin@uwinnipeg.ca>,
Alison Wiigs - <wiigs@ucalgary.ca>