What is it about?
The textbook is a one-semester introduction to basic univariate statistical methods: descriptive stats, z-test, t-tests, ANOVA, correlation and regression, and chi-squared tests. All of these methods are presented in the context of the General Linear Model.
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Why is it important?
The General Linear Model is a framework that professional statisticians and data analysts use to think about statistical procedures. In this view, almost all inferential statistical procedures are members of the same family and are used to ascertain relationships between independent and dependent variables. Teaching students about the General Linear Model early in their statistics education will equip them to understand similarities and differences across methods and learn advanced statistical procedures quickly.
Perspectives
This textbook is now in its second edition, and it has been very successful at teaching students from many fields in the social sciences to quickly master fundamental statistical procedures. Based on over a decade of teaching statistics, the book is full of interesting example, accessible descriptions, and pedagogical tools to give students a strong statistical education that they can use in later courses, graduate study, or the workforce.
Dr Russell T. Warne
Independent Scholar
Read the Original
This page is a summary of: Statistics for the Social Sciences, December 2020, Cambridge University Press,
DOI: 10.1017/9781108894319.
You can read the full text:
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