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SPSS for psychologists / Nicola Brace, Richard Kemp, Rosemary Snelgar

By: Contributor(s): Material type: TextTextPublisher: New York : Psychology Press, 2013Edition: 5th edDescription: xi, 470 p. : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781848726000 (pbk.)
  • 1848726007 (pbk.)
Subject(s): LOC classification:
  • BF39B796S 2013
Contents:
Introduction -- Data entry in SPSS -- Exploring data in SPSS -- Data handling -- Tests of difference for sample designs -- Tests of correlation -- Tests for nominal data -- Analysis of variance -- Bivariate and multiple regression -- Analysis of covariance and multivariate analysis of variance -- Discriminant analysis and logistic regression -- Factor analysis, and reliability and dimensionality of scales
Summary: "With over 50,000 copies sold, this is the indispensable guide to IBM SPSS. With its student-friendly layout, accessible style and unbeatable coverage, it provides you with a step-by-step tour and equips you with the knowledge you need, to succeed in your degree. Written especially for psychology student, this book shows you how to get the most out of SPSS, and will be an essential resource no matter what your level of study is" -Back cover
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Holdings
Item type Current library Call number Status Date due Barcode
Books - Printed PERPUSTAKAAN GUNASAMA HAB PENDIDIKAN TINGGI PAGOH BF39B796S 2013 (Browse shelf(Opens below)) Available 11100343664

"With over 50,000 copies sold, this is the indispensable guide to IBM SPSS. With its student-friendly layout, accessible style and unbeatable coverage, it provides you with a step-by-step tour and equips you with the knowledge you need, to succeed in your degree. Written especially for psychology student, this book shows you how to get the most out of SPSS, and will be an essential resource no matter what your level of study is" -Back cover

Includes bibliographical references (pages 428-429) and index.

Introduction -- Data entry in SPSS -- Exploring data in SPSS -- Data handling -- Tests of difference for sample designs -- Tests of correlation -- Tests for nominal data -- Analysis of variance -- Bivariate and multiple regression -- Analysis of covariance and multivariate analysis of variance -- Discriminant analysis and logistic regression -- Factor analysis, and reliability and dimensionality of scales

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