Key topics in psychological methods

Key topics in psychological methods

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This volume features cutting-edge and impactful articles from across Springer's diverse journals publishing program. In this curated collection, our editorial team has brought together highly-cited and downloaded articles on the topic of Psychological Methods into one single resource. Moreover, this book enables readers to review a broad spectrum of quality research on a specialized topic, which we hope facilitates interdisciplinary and critical discussions of the topic at hand. As part of the …

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Title Statements

  • Full title :Key topics in psychological methods / Springer Behavioral & Health Sciences.

Summary

This volume features cutting-edge and impactful articles from across Springer's diverse journals publishing program. In this curated collection, our editorial team has brought together highly-cited and downloaded articles on the topic of Psychological Methods into one single resource. Moreover, this book enables readers to review a broad spectrum of quality research on a specialized topic, which we hope facilitates interdisciplinary and critical discussions of the topic at hand. As part of the Key Topics in Behavioral Sciences book series, this volume aims to serve as a quick reference for readers when writing or researching new topics or subject areas. Other topics in the series will include Psychological Research Methods, Health and Behavior, Industrial and Organizational Psychology, Sports Psychology, and Consumer Behavior. In the first section of the volume, articles focus on such topics as Artificial Intelligence, Cultural Learning, Human Evolution, Human-Computer Interaction, Referential Triangle, Social Interaction, Differences, Diversity, Evolution, Genetics, Populations, and Race. Next, the second section features research on Double Dialogicality, Generalization, Qualitative Research, Single Case, Data Analysis, Data Screening, Insufficient Effort Responding, Research Design, Research Methods, and Survey Research. Lastly in the final section of this collection, Data Snooping, Harking, Publication Bias, Simulation, Open Science, Philosophy Of Science, Questionable Research Practices, Research Ethics, Content-Analysis, Dictionary Analysis, Natural Language Processing, Structural Topic Modeling, Text Analysis, Thematic Analysis, and Topic Modeling are discussed.

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Edition Statements

  • Publication Date:2022.

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Cham, Switzerland
  • Language:eng
  • Publication Date:2022.

The Physical Object

  • Description:1 online resource (vii, 139 pages)

Edition Identifiers

  • ISBN:9783031199226, 3031199227
  • DOI:10.1007/978-3-031-19922-6
  • oclc:on1350541606
  • LC Classification:BF38.5
  • Dewey Decimal:150.72

Table of Contents

Foreword -- 1. Human-Computer Interaction Problem in Learning: Could the Key Be Hidden Somewhere Between Social Interaction and Development of Tools? -- 2. Applications of Artificial Intelligence Methodologies to Behavioral and Social Sciences -- 3. Human Biological and Psychological Diversity -- 4. Generalization from Single Cases and the Concept of Double Dialogicality -- 5. Dirty Data: The Effects of Screening Respondents Who Provide Low-Quality Data in Survey Research -- 6. HARKing: How Badly Can Cherry-Picking and Question Trolling Produce Bias in Published Results? -- 7. Answers to 18 Questions About Open Science Practices -- 8. A Review of Best Practice Recommendations for Text Analysis in R (and a User-Friendly App).

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