Statistics for the social sciences : a general linear model approach / Russell T. Warne.
Material type:
TextPublisher: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, [2021]Copyright date: ©2021Edition: Second EditionDescription: xix, 590 pages : illustrations ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781108814508; 9781108841573Subject(s): Statistics -- Textbooks | Social sciences -- Statistical methods -- TextbooksLOC classification: QA276 | .W367 2021 Summary: The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.
| Item type | Current location | Collection | Call number | Status | Notes | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| Book | Gratia Christian College Library Book Shelves | Print book | QA276 .W367 2021 (Browse shelf) | Available | 0006227H |
Includes bibliographical references (pages 557-575) and index (pages 576-590).
The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.