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52 results

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The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
  • Volume 3: Data Analysis
  • Volume 3
  • Edited by Austin Lee Nichols, John E. Edlund
  • Coming soon
  • Expected online publication date:
    July 2026
    Print publication:
    31 July 2026
  • 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.

The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
  • Volume 2: Performing Research
  • Volume 2
  • Edited by John E. Edlund, Austin Lee Nichols
  • Published online:
    12 December 2024
    Print publication:
    19 December 2024
  • In a time where new research methods are constantly being developed and science is evolving, researchers must continually educate themselves on cutting-edge methods and best practices related to their field. The second of three volumes, this Handbook provides comprehensive and up-to-date coverage of a variety of issues important in developing, designing, and collecting data to produce high-quality research efforts. First, leading scholars from around the world provide an in depth explanation of various advanced methodological techniques. In section two, chapters cover general important methodological considerations across all types of data collection. In the third section, the chapters cover self-report and behavioral measures and their considerations for use. In the fourth section, various psychological measures are covered. The final section of the handbook covers issues that directly concern qualitative data collection approaches. Throughout the book, examples and real-world research efforts from dozens of different disciplines are discussed.

  • 16 - Sex Differences and Sex Similarities

  • from Part II - Middle-Level Theories
  • Edited by Todd K. Shackelford, Oakland University, Michigan
  • Book:
    The Cambridge Handbook of Evolutionary Perspectives on Sexual Psychology
    Published online:
    30 June 2022
    Print publication:
    21 July 2022, pp 360-389

  • Summary

    The sciences have been perennially interested in understanding similarities and differences between the sexes. Among humans, both males and females seek to secure serially monogamous partnerships with kind and intelligent mates similar to themselves. However, the sexes differ in the relative value placed on resources and physical attractiveness, their willingness to engage in short-term liaisons, and jealousy in response to emotional and sexual infidelities. Consideration of cultural factors, modern relationship innovations, and diversity in sexual orientation and gender identity provides further complexity to our understanding of similarities and differences. Recommendations are made for future research in these areas, and the societal implications of evolutionary work on the sexes is discussed.

  • 19 - Development and Applications of Item Response Theory

  • from Part Five - New Statistical Trends in the Social and Behavioral Sciences
  • Edited by John E. Edlund, Rochester Institute of Technology, New York, Austin Lee Nichols
  • Book:
    Advanced Research Methods for the Social and Behavioral Sciences
    Published online:
    22 February 2019
    Print publication:
    14 March 2019, pp 309-327

  • Summary

    Item response theory (IRT) represents an alternative measurement approach to Classical test theory (CTT) that has been developed to address some of the key limitations in CTT. IRT utilizes a logistic function to jointly scale both person characteristics (e.g. ability) and task characteristics (e.g. difficulty) along a common metric, and is grounded upon the notion that different item sets should not result in different scaling solutions. This provides IRT with a number of advantages over CTT; namely that the performances of individuals who are administered different sets of tasks may still be justifiably compared. From this basis, the IRT approach has established its utility through its applications in such varied contexts as adaptive testing, cognitive diagnostic modeling, item difficulty modeling, and latent class analyses. The current chapter focuses on applied issues in measurement with IRT, with emphasis on its distinct advantages over traditional approaches.

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