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Social Psychology : Exploring the Dynamics of Human Experience

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Datum

2024

Autor:innen

Vallacher, Robin R.

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ISBN

978-1-003-43013-1
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New York: Routledge

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Auflagebezeichnung

2nd Edition
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Open Access-Veröffentlichung
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Zusammenfassung

This topical textbook provides a thorough insight into the discipline of social psychology, presenting students with a rich and engaging account of the human social experience.

Fully revised, the second edition includes a greater emphasis on cutting-edge topics within social psychology, including AI, virtual reality, social media, and political polarization. The textbook uses an accessible and readable style to show how the field’s dizzying and highly fragmented array of topics, models, theories, and paradigms can best be understood through a coherent conceptual narrative that builds on learning from previous chapters. The text also examines recent developments, such as how computer simulations and big data supplement the traditional methods of experiment and correlation. It contains a range of features, including key term glossaries and compact “summing up and looking ahead” overviews for ease of reading.

Social Psychology: Exploring the Dynamics of Human Experience covers an enormous range of topics from self-concept to social change, making this comprehensive textbook essential reading for any student of social psychology.

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150 Psychologie

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ISO 690VALLACHER, Robin R., Peter M. GOLLWITZER, 2024. Social Psychology : Exploring the Dynamics of Human Experience. 2nd Edition. New York: Routledge. ISBN 978-1-003-43013-1
BibTex
@book{Vallacher2024-11-21Socia-71826,
  year={2024},
  doi={10.4324/9781003430131},
  isbn={978-1-003-43013-1},
  publisher={Routledge},
  address={New York},
  title={Social Psychology : Exploring the Dynamics of Human Experience},
  edition={2nd Edition},
  author={Vallacher, Robin R. and Gollwitzer, Peter M.}
}
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Fully revised, the second edition includes a greater emphasis on cutting-edge topics within social psychology, including AI, virtual reality, social media, and political polarization. The textbook uses an accessible and readable style to show how the field’s dizzying and highly fragmented array of topics, models, theories, and paradigms can best be understood through a coherent conceptual narrative that builds on learning from previous chapters. The text also examines recent developments, such as how computer simulations and big data supplement the traditional methods of experiment and correlation. It contains a range of features, including key term glossaries and compact “summing up and looking ahead” overviews for ease of reading.

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