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878 results in Statistics for social sciences, behavioral sciences and law

Page 3 of 44

  • 1 - Introduction

  • Shelby Haberman, Sandip Sinharay, Educational Testing Service, New Jersey, Richard A. Feinberg, National Board of Medical Examiners, Pennsylvania, Howard Wainer
  • Book:
    Subscores
    Published online:
    22 February 2024
    Print publication:
    29 February 2024, pp 1-17
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  • Summary

    Background and historical context are provided on what subscores are using the US census and testing programs in the military as clarifying examples.

  • 6 - Coda

  • Shelby Haberman, Sandip Sinharay, Educational Testing Service, New Jersey, Richard A. Feinberg, National Board of Medical Examiners, Pennsylvania, Howard Wainer
  • Book:
    Subscores
    Published online:
    22 February 2024
    Print publication:
    29 February 2024, pp 136-149

  • Summary

    Guidance is provided regarding how subscores should be reported as well as on what might be done when subscores ought not be reported. Advice is also given to help practitioners respond to pressure from various stakeholders when subscores would be misleading to report.

Subscores
  • A Practical Guide to Their Production and Consumption
  • Shelby Haberman, Sandip Sinharay, Richard A. Feinberg, Howard Wainer
  • Published online:
    22 February 2024
    Print publication:
    29 February 2024
  • This authoritative guide directs consumers and users of test scores on when and how to provide subscores and how to make informed decisions based on them. The book is designed to be accessible to practitioners and score users with varying levels of technical expertise, from executives of testing organizations and students who take tests to graduate students in educational measurement, psychometricians, and test developers. The theoretical background required to evaluate subscores and improve them are provided alongside examples of tests with subscores to illustrate their use and misuse. The first chapter covers the history of tests, subtests, scores, and subscores. Later chapters go into subscore reporting, evaluating and improving the quality of subscores, and alternatives to subscores when they are not appropriate. This thorough introduction to the existing research and best practices will be useful to graduate students, researchers, and practitioners.

Statistics Using Stata
  • An Integrative Approach
  • 3rd edition
  • Sharon Lawner Weinberg, Sarah Knapp Abramowitz, Daphna Harel
  • Published online:
    26 January 2024
    Print publication:
    30 November 2023
  • Statistics Using Stata uses a highly accessible and lively writing style to seamlessly integrate the learning of the latest version of Stata (17) with an introduction to applied statistics using real data in the behavioral, social, and health sciences. The text is comprehensive in its content coverage and is suitable at undergraduate and graduate levels. It requires knowledge of basic algebra, but no prior coding experience. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes a .do-file for each chapter, that was used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter.

Statistics Using R
  • An Integrative Approach
  • 2nd edition
  • Sharon Lawner Weinberg, Daphna Harel, Sarah Knapp Abramowitz
  • Published online:
    07 December 2023
    Print publication:
    07 December 2023
  • Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.

Page 3 of 44