M. Brent Donnellan, Richard E. Lucas

eBook, ePUB

Great Myths of Personality (eBook, ePUB)

Beschreibung

Great Myths of Personality teaches critical thinking skills and key concepts of personality psychology through the discussion of popular myths and misconceptions. * Provides a thorough look at contemporary myths and misconceptions, such as: Does birth order affect personality? Are personality tests an accurate way to measure personality? Do romantic partners need similar personalities for relationship success? * Introduces concepts of personality psychology in an accessible and engaging manner * Focuses on current debates and controversies in the field with references to the latest research and scientific literature

Technische Details

• Geräte: eReader
• mit Kopierschutz
• Größe: 0.47MB

Barrierefreiheit

• Text-to-Speech

Autor

M. Brent Donnellan is Professor of Psychology at Michigan State University. He investigates research topics at the intersections of personality psychology, psychological assessment, and developmental psychology. He currently serves as the Senior Editor for the Personality section of Collabra: Psychology and as an Associate Editor for Advances in Methods and Practices in Psychological Science. His current research efforts focus on personality trait development, the assessment of well-being and self-esteem, and methodological tools and practices to improve psychological science. Richard E. Lucas is an MSU Foundation Professor of Psychology at Michigan State University. His research focuses on the causes, consequences, and measurement of subjective well-being. Specifically, he studies the associations between personality and well-being, and he examines the extent to which people adapt to major life events and life circumstances. He is currently an associate editor for Perspectives on Psychological Science and Collabra: Psychology and incoming Editor-in-Chief for the Journal of Personality and Social Psychology. He is co-author of the book Well-Being for Public Policy (2009) and co-editor of Secondary Data Analysis (2010).

Produktdetails

• Verlag: Sybex
• Seitenzahl: 288
• Erscheinungstermin: 22. Dezember 2020
• Englisch
• ISBN-13: 9781118521410
• Artikelnr.: 60861191