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Statistical methods for psychology / David C. Howell.

By: Material type: TextPublication details: Belmont, CA : Wadsworth Cengage Learning, c2013.Edition: 8th edDescription: xix, 770 p. : ill. ; 26 cmISBN:
  • 1111835489
  • 9781111835484
  • 9781111840853
Subject(s): LOC classification:
  • BF39 .H69 2013
Summary: "STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with significantly updated discussions of effect size and meta-analysis, this Eighth Edition continues to focus on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment."-- Publisher's description.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Textbooks Library Neapolis University Pafos NUP Main Collection: Textbooks BF39.H69 2013 (Browse shelf(Opens below)) 1 Not For Loan 3005823
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Includes bibliographical references and index.

"STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with significantly updated discussions of effect size and meta-analysis, this Eighth Edition continues to focus on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment."-- Publisher's description.

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