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The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences

The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences

The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences

Volume 3: Data Analysis
Volume 3:
Austin Lee Nichols, University of Navarra
John E. Edlund, Rochester Institute of Technology
December 2026
3
Not yet published - no date available
Paperback
9781009009720
c.
£61.99
GBP
Paperback
GBP
Hardback

    The third of three volumes, the four sections of this book cover a variety of issues important to analyzing data to produce high-quality, accurate conclusions from already-collected data. First, leading scholars from around the world provide a step-by-step guide to using several popular quantitative and qualitative statistical programs used throughout the social and behavioral sciences. The next section focused on several important considerations for preparing data for analysis. Many of these directly affect the quality of the data and the resulting conclusions, In the remainder of chapters, the various authors focus on various advanced statistical techniques. In section three, the focus is on those related to quantitative analysis. Section four then focuses on analyzing qualitative data. Throughout the book, examples and real-world research efforts from dozens of different disciplines are discussed. In addition, authors often provide example data and analytical code to facilitate learning of and application of each concept.

    • Volume three of a three-volume handbook written for advanced graduate students and current Ph.D. researchers across the social and behavioral sciences
    • Features authors from dozens of disciplines and countries to provide a diverse perspective on analyzing data within and between disciplines and cultures
    • Serves as a step-by-step guide to performing high-quality research and using the latest advances in statistics to produce valid conclusions and implications
    • Covers several advanced statistical techniques and provides advice for effectively using each
    • Provides practical applications for analyzing almost any quantitative or qualitative data

    Product details

    December 2026
    Paperback
    9781009009720
    758 pages
    254 × 178 mm
    Not yet published - no date available

    Table of Contents

    • Preface
    • Part I. Analysis Tools:
    • 1. SPSS: statistical package for the social sciences Duncan Cramer
    • 2. Reproducible science with R Andy P. Field and Teresa B. Gibson
    • 3. User-friendly Bayesian and frequentist statistics with JASP Ruth V. Walker and Julie Madden
    • 4. SAS® software for the social and behavioral sciences research Ravindra Khattree and Anuradha Roy
    • 5. Mplus: an overview of its unique analysis capabilities Bengt O. Muthén
    • 6. STATA Ulrich Kohler
    • 7. Unveiling insights: NVivo in qualitative research Popi Sotiriadou and Mohsen Loghmani
    • Part II. Analytical Considerations:
    • 8. Missing data Gerko Vink and Stef van Buuren
    • 9. Detecting insufficient effort responding to questionnaires: techniques and practical recommendations Jason L. Huang and Ran Huang
    • 10. Validating statistical assumptions for common statistical techniques Abdel-Salam G. Abdel-Salam
    • 11. Data transformations Jason W. Osborne
    • 12. Measurement equivalence Jan Cieciuch, Eldad Davidov and Peter Schmidt
    • 13. Measures of association: estimates, P-values, and statistical tests Sander Greenland
    • Part III. Advanced Quantitative Approaches:
    • 14. Non-linear time series analyses Margaret C. Macpherson, Michael J. Richardson and Rachel W. Kallen
    • 15. Advanced inferential analyses Vincenzo Guerriero, Roberta Alilla, Giulia Maria Bellucci, Flora De Natale and Barbara Parisse, Marco Tallini
    • 16. Mediation and moderation analysis Amanda J. Fairchild, Donna L. Coffman, Dexin Shi, Sarfaraz Serang and David P. MacKinnon
    • 17. Moderated mediation and (Not) 'Mediated Moderation' Andrew F. Hayes and The Ton Vuong
    • 18. Advanced Bayesian analyses Yasir Atalan and Jeff Gill
    • 19. Item response theory and modeling Tenko Raykov
    • 20. Advances in confirmatory factor analysis Michael T. Moore
    • 21. Multivariate longitudinal data analyses Silvia Bianconcini and Silvia Cagnone
    • 22. Partial Least Squares Structural Equation Modeling (PLS-SEM): a rapidly emerging SEM tool Joseph F. Hair, Jr., Misty A. Sabol and Jeffrey J. Risher
    • 23. Advanced meta-analytic techniques Mike W.-L. Cheung and Suzanne Jak
    • 24. Signal detection theory Michael S. Landy
    • 25. Using computer simulations to study social dynamics Francesco Renzini and Flaminio Squazzoni
    • Part IV. Advanced Qualitative Approaches:
    • 26. Fuzzy-set qualitative comparative analysis Evan John Douglas
    • 27. Practicing reflexivity Linda Finlay
    • 28. Researcher-as-instrument in qualitative research Michelle Miller-Day
    • 29. Transcription in qualitative research Christina Davidson
    • 30. Thematic analysis Nikki Hayfield and Gareth Terry
    • 31. Discourse analysis Jennifer Andrus
    • 32. Narrative analysis Dorien Van De Mieroop and Kim Schoofs
    • 33. Transformer models Martin Popel, JindÅ™ich Libovický, ZdenÄ›k Kasner and OndÅ™ej DuÅ¡ek
    • 34. Systematic reviews Katy Sutcliffe, Emma France, Angela Harden and James Thomas.
      Contributors
    • Duncan Cramer, Andy P. Field, Teresa B. Gibson, Ruth V. Walker, Julie Madden, Ravindra Khattree, Anuradha Roy, Bengt O. Muthén, Ulrich Kohler, Popi Sotiriadou, Mohsen Loghmani, Gerko Vink, Stef van Buuren, Jason L. Huang, Ran Huang, Abdel-Salam G. Abdel-Salam, Jason W. Osborne, Jan Cieciuch, Eldad Davidov, Peter Schmidt, Sander Greenland, Margaret C. Macpherson, Michael J. Richardson, Rachel W. Kallen, Vincenzo Guerriero, Roberta Alilla, Giulia Maria Bellucci, Flora De Natale, Barbara Parisse, Marco Tallini, Amanda J. Fairchild, Donna L. Coffman, Dexin Shi, Sarfaraz Serang, David P. MacKinnon, Andrew F. Hayes, The Ton Vuong, Yasir Atalan, Jeff Gill, Tenko Raykov, Michael T. Moore, Silvia Bianconcini, Silvia Cagnone, Joseph F. Hair, Jr., Misty A. Sabol, Jeffrey J. Risher, Mike W.-L. Cheung, Suzanne Jak, Michael S. Landy, Francesco Renzini, Flaminio Squazzoni, Evan John Douglas, Linda Finlay, Michelle Miller-Day, Christina Davidson, Nikki Hayfield, Gareth Terry, Jennifer Andrus, Dorien Van De Mieroop, Kim Schoofs, Martin Popel, JindÅ™ich Libovický, ZdenÄ›k Kasner, OndÅ™ej DuÅ¡ek, Katy Sutcliffe, Emma France, Angela Harden, James Thomas

    • Editors
    • Austin Lee Nichols , University of Navarra

      Austin Lee Nichols is Associate Professor of Organizational Psychology at Central University in Vienna, Austria. Prior to his current position, he worked in various faculty and research positions around the world in both Psychology and Management. He has published in a journals across a variety of research disciplines and has won awards for his teaching, research, and service, from various global institutions.

    • John E. Edlund , Rochester Institute of Technology

      John E. Edlund is Professor of Psychology at the Rochester Institute of Technology, USA, and serves as the Research Director of Psi Chi: The International Honor Society in Psychology. He has won numerous awards related to teaching and is passionate about the improvement of research methods and the dissemination of psychological knowledge to the world.