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Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

This series delves into the critical role of statistical methods for analyzing large, complex datasets within the social and behavioral sciences. It captures cutting-edge developments in statistical methodology, emphasizing relevance to fields such as sociology, psychology, economics, and political science. The collection promotes the sound application of statistical, econometric, and psychometric tools through reference works, textbooks, and handbooks, featuring real-world examples and case studies. It caters to applied statisticians, students, and researchers across these diverse disciplines.

Ordered Regression Models
Age-Period-Cohort Models

Recommended Reading Order

  • Age-Period-Cohort Models

    Approaches and Analyses with Aggregate Data

    • 216 pages
    • 8 hours of reading

    Focusing on the complexities of modeling age, period, and cohort effects in aggregate-level data, this book introduces various strategies such as constrained estimation and the innovative s-constraint approach. It emphasizes the geometric and algebraic aspects of these methods, enhancing readers' comprehension of statistical issues in APC analysis. By exploring the relationships among common techniques, the book provides a comprehensive framework for understanding and applying APC modeling effectively.

    Age-Period-Cohort Models
  • Ordered Regression Models

    Parallel, Partial, and Non-Parallel Alternatives

    • 172 pages
    • 7 hours of reading

    Focusing on ordered regression models, this book delves into cumulative, stage, and adjacent classes, along with variations influenced by the parallel regression assumption. It emphasizes the benefits of using ordered regression for analyzing ordinal outcomes compared to linear and binary models. Additionally, the text provides guidance on interpreting and presenting results, supported by empirical examples from the social and behavioral sciences, making it a valuable resource for researchers in these fields.

    Ordered Regression Models