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SPSS for psychologists : A guide to data analysis using SpSS for Windows versions 12 and 13 / Nicola Brace, Richard Kemp and Rosemary Snelgar.

By: Contributor(s): Material type: TextTextPublication details: UK : Palgrave macmillan, 2005Edition: 3rd edDescription: xvi, 450 p. : ill. ; 25 cmISBN:
  • 1403987874
Subject(s): DDC classification:
  • 150.15195 BRA
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Standard Loan Moylish Library Main Collection 150.15195 BRA (Browse shelf(Opens below)) 2 Available 39002100328435
Standard Loan Moylish Library Main Collection 150.15195 BRA (Browse shelf(Opens below)) 4 Available 39002100328468

Enhanced descriptions from Syndetics:

The new edition of this bestselling guide to SPSS carefully leads the user through the process of using SPSS to analyze psychological data. As with previous editions, the third edition retains the breadth of coverage, clear writing and flexibility that has made it such a popular companion for students at all levels. It covers SPSS version 13 as well as 12, and draws attention to the main ways in which these versions differ from earlier versions, has an all-new chapter on time series analysis and new coverage of reliability measures, partial correlations, and using statistics for scale constructions.

Includes bibliographical references and index.

Table of contents provided by Syndetics

  • Introduction
  • Data Entry in SPSS
  • Tests of Difference for Two Sample Designs
  • Tests of Correlation
  • Tests for Nominal Data
  • Data Handling
  • Analysis of Variance
  • Multiple Regression
  • Analysis of Covariance and Multivariate Analysis of Variance
  • Discriminant Analysis and Logistic Regression
  • Factor Analysis
  • Beyond the Basics
  • Introduction
  • Data Entry in SPSS
  • Tests of Difference for Two Sample Designs
  • Tests of Correlation
  • Tests for Nominal Data
  • Data Handling
  • Analysis of Variance
  • Multiple Regression
  • Analysis of Covariance and Multivariate Analysis of Variance
  • Discriminant Analysis and Logistic Regression
  • Factor Analysis
  • Beyond the Basics

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