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Understanding how conversation is produced, represented in memory, and utilized in daily social interaction is crucial to comprehending how human communication occurs and how it might be modeled. This book seeks to take a step toward this goal by providing a comprehensive, interdisciplinary overview of conversation memory research and related phenomena that transcends the foundations of cognitive psychology. It covers a wide range of conversation memory topics, including theoretical approaches, representation in long-term memory, gender, race, and ethnicity effects, methodological issues, conversation content, social cognition, lifespan development, nonverbal correlates, personality and individual differences, disability, and conversation memory applications. Featuring new content reflecting the historical development of the conversation memory field alongside an extensive reference list, the book provides a complete, single-source reference work for conversational remembering research that should be of interest across disciplines.
List of contents
Preface; 1. Theoretical approaches to conversation memory and discourse processing; 2. Representation of conversation memory; 3. Effects of gender, race, and ethnicity on conversation memory; 4. Methodological issues in conversation memory; 5. Conversation content and memory; 6. Social cognition and conversation memory; 7. Lifespan development of conversation memory; 8. Conversational interaction and nonverbal correlates of conversation memory; 9. Personality and individual differences in conversation memory; 10. Disability and conversation memory; 11. Conversation memory applications; 12. Conclusion; References; Author index; Subject index
About the author
Glenn C. Gamst is Professor of Psychology at the University of La Verne, where he regularly teaches Cognitive Psychology courses at the undergraduate level. He has published books in multicultural psychology (Handbook of Multicultural Measures (2011)) and statistics (Analysis of Variance Designs (2008), Applied Multivariate Research (2016), and Performing Data Analysis Using IBM SPSS (2013)).
