British Journal Of Mathematical And Statistical Psychology PDF Download

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British Journal of Psychology. Statistical Section

British Journal of Psychology. Statistical Section
Author:
Publisher:
Total Pages: 432
Release: 1955
Genre: Psychology
ISBN:

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This journal publishes articles in quantitative psychology, a broad field of study comprising several disciplines: statistical theory and methods, decision making, mathematical psychology, psychometrics, psychophysics and computing.


British Journal of Mathematical and Statistical Psychology

British Journal of Mathematical and Statistical Psychology
Author:
Publisher:
Total Pages:
Release:
Genre:
ISBN:

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The British Psychological Society publishes the semi-annual "British Journal of Mathematical and Statistical Psychology." The journal contains articles about any areas of psychology that have a greater mathematical, statistical, or other formal aspect of their argument than is usually acceptable to other journals. Sample copies and ordering information are included.


Categorical Data Analysis for the Behavioral and Social Sciences

Categorical Data Analysis for the Behavioral and Social Sciences
Author: Razia Azen
Publisher: Taylor & Francis
Total Pages: 327
Release: 2021-05-26
Genre: Psychology
ISBN: 100038389X

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Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer. Each chapter begins with a "Look Ahead" section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge. New to the second edition: The addition of R syntax for all analyses and an update of SPSS and SAS syntax. The addition of a new chapter on GLMMs. Clarification of concepts and ideas that graduate students found confusing, including revised problems at the end of the chapters. Written for those without an extensive mathematical background, this book is ideal for a graduate course in categorical data analysis taught in departments of psychology, educational psychology, human development and family studies, sociology, public health, and business. Researchers in these disciplines interested in applying these procedures will also appreciate this book’s accessible approach.