This book is specifically designed to make this toolbox accessible - beyond interpersonal perception phenomena. It helps identify the relevant phenomena and dynamics surrounding behaviors in dyads and groups, and goes on to assess and analyze them empirically.
- Captures essential conceptual and methodological topics around the scientific analyses of behaviors in groups and dyads
- Situates the SRM in the history of dyadic research
- Offers detailed guidance on research design and measurement operations
- Organizes models and empirical results into easily read figures and tables
- Demonstrates how SRM variances and covariances can be used as dependent measures in experiments
- Conceptualizes novel phenomena in personality psychology using the SRM
About the author
Thomas E. Malloy
Professor of Psychology
Mary Tucker Thorpe Professor
Department of Psychology
Rhode Island College
Providence, Rhode Island 02908
(401) 456-8177 Office
Thomas E. Malloy has conducted research on interpersonal perception, peer perceptions in classrooms, intergroup relations, and reconciliation, individual differences and behavior, cross-cultural psychology, research methodology, and healthy psychology. He is currently funded by RI-INBRE and the National Institute of General Medical Sciences, a component of the National Institutes of Health (NIH) to study Visual Attention to Faces of in-group and out-group members. Professor Malloy directs the Intergroup Relations Laboratory at Rhode Island College. He works with researchers at the Finnish National Institute of Health and Welfare on the 1987 Finnish Birth Cohort Study, a 25 year longitudinal study of all those born in Finland in 1987. Professor Malloy is collaborating with researchers at The Hebrew University of Jerusalem on the quality of listening in dyadic interactions. He is also collaborating with researchers at the University of Ulster in Ireland on face-to-face dyadic interaction. He has offered methodological workshops at annual meetings of the Association for Psychological Science on Social Relations Modeling of Dyadic Data.