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SPSS for psychologists : and everybody else/ Virginia Harrison; Richard Kemp; Nicola Brace; Rosemary Snelgar

By: Contributor(s): Material type: TextTextPublication details: London: Red Globe Press, c2021Edition: 7th EdDescription: xiii, 490 p. : ill. 26 cmISBN:
  • 9781352009941
Subject(s): DDC classification:
  • 150.72 23
LOC classification:
  • HA32 .H377 2021
Contents:
Ch. 1 Introduction -- Section 1 Psychological research and SPSS -- Section 2 Guide to the statistical tests covered -- Section 3 Working with SPSS -- Section 4 Starting SPSS -- Section 5 How to exit from SPSS -- ch. 2 Data entry in SPSS -- Section 1 The Data Editor window -- Section 2 Defining a variable in SPSS -- Section 3 Entering data -- Section 4 Saving a data file -- Section 5 Opening a data file -- Section 6 Data entry exercises -- Section 7 Answers to data entry exercises -- Section 8 Checking and cleaning data files -- ch. 3 Exploring and cleaning data in SPSS -- Section 1 Descriptive statistics -- Section 2 The Descriptives command -- Section 3 The Viewer window -- Section 4 The Frequencies command -- Section 5 The Explore command -- Section 6 Using descriptive statistics to check your data -- Section 7 Introducing graphing in SPSS -- Section 8 Chart Builder -- Section 9 Graphboard Template Chooser -- ch. 4 Data handling --
Section 1 An introduction to data handling -- Section 2 Sorting a file -- Section 3 Splitting a file -- Section 4 Selecting cases -- Section 5 Recoding values -- Section 6 Computing new variables -- Section 7 Counting values -- Section 8 Ranking cases -- Section 9 Data transformation -- Section 10 Data file for scales or questionnaires -- ch. 5 Tests of difference for one- and two-sample designs -- Section 1 An introduction to t-tests -- Section 2 The one-sample t-test -- Section 3 The independent t-test -- Section 4 The paired t-test -- Section 5 An introduction to nonparametric tests of difference -- Section 6 The Mann -- Whitney test -- Section 7 The Wilcoxon test -- ch. 6 Tests of correlation and bivariate regression -- Section 1 An introduction to tests of correlation -- Section 2 Producing a scattergram -- Section 3 Pearson's r: parametric test of correlation -- Section 4 Spearman's rs: nonparametric test of correlation --
Section 5 Comparing the strength of correlation coefficients -- Section 6 Brief introduction to regression -- Section 7 Bivariate regression -- ch. 7 Tests for nominal data -- Section 1 Nominal data and dichotomous variables -- Section 2 Chi-square test versus the chi-square distribution -- Section 3 The goodness of fit chi-square -- Section 4 The multidimensional chi-square -- Section 5 The McNemar test for repeated measures -- ch. 8 Analysis of variance -- Section 1 An introduction to analysis of variance (ANOVA) -- Section 2 One-way between-subjects ANOVA, planned and unplanned comparisons, and nonparametric equivalent -- Section 3 Two-way between-subjects ANOVA -- Section 4 One-way within-subjects ANOVA, planned and unplanned comparisons, and nonparametric equivalent -- Section 5 Two-way within-subjects ANOVA -- Section 6 Mixed ANOVA -- ch. 9 Multiple regression -- Section 1 An introduction to multiple regression --
Section 2 Standard or simultaneous method of multiple regression -- Section 3 Sequential or hierarchical method of multiple regression -- Section 4 Statistical methods of multiple regression -- ch. 10 Analysis of covariance and multivariate analysis of variance -- Section 1 An introduction to analysis of covariance -- Section 2 Performing analysis of covariance on SPSS -- Section 3 An introduction to multivariate analysis of variance -- Section 4 Performing multivariate analysis of variance on SPSS -- ch. 11 Discriminant analysis and logistic regression -- Section 1 Discriminant analysis and logistic regression -- Section 2 An introduction to discriminant analysis -- Section 3 Performing discriminant analysis using SPSS -- Section 4 An introduction to logistic regression -- Section 5 Performing logistic regression on SPSS -- ch. 12 Factor analysis, and reliability and dimensionality of scales -- Section 1 An introduction to factor analysis --
Section 2 Performing a basic factor analysis using SPSS -- Section 3 Other aspects of factor analysis -- Section 4 Reliability analysis for scales and questionnaires -- Section 5 Dimensionality of scales and questionnaires -- ch. 13 Using syntax and other useful features of SPSS -- Section 1 The Syntax window -- Section 2 Syntax examples -- Section 3 Getting help in SPSS -- Section 4 Option settings in SPSS -- Section 5 Printing from SPSS -- Section 6 Incorporating SPSS output into other documents -- Section 7 SPSS and Excel: importing and exporting data files.
Review: "The definitive guide to IBM SPSS. Combining unbeatable coverage with a tested, accessible style, this book provides you with a step-by-step guide to the software and equips you with the knowledge you need to succeed. Whether you're new to statistical analysis, or a more experienced researcher in need of a refresher, this book is an essential resource that you'll return to time and time again."--Page [4] of cover.
Item type: Research Collection
Holdings
Current library Collection Call number Vol info Status Date due Barcode
Judith Thomas Library Judith Thomas Library Research Section JTL Research Collection HA 32 .H377 2021 (Browse shelf(Opens below)) AUA26330 Available AUA26330

Includes bibliographical references (pages 484-485) and index.

Ch. 1 Introduction -- Section 1 Psychological research and SPSS -- Section 2 Guide to the statistical tests covered -- Section 3 Working with SPSS -- Section 4 Starting SPSS -- Section 5 How to exit from SPSS -- ch. 2 Data entry in SPSS -- Section 1 The Data Editor window -- Section 2 Defining a variable in SPSS -- Section 3 Entering data -- Section 4 Saving a data file -- Section 5 Opening a data file -- Section 6 Data entry exercises -- Section 7 Answers to data entry exercises -- Section 8 Checking and cleaning data files -- ch. 3 Exploring and cleaning data in SPSS -- Section 1 Descriptive statistics -- Section 2 The Descriptives command -- Section 3 The Viewer window -- Section 4 The Frequencies command -- Section 5 The Explore command -- Section 6 Using descriptive statistics to check your data -- Section 7 Introducing graphing in SPSS -- Section 8 Chart Builder -- Section 9 Graphboard Template Chooser -- ch. 4 Data handling --

Section 1 An introduction to data handling -- Section 2 Sorting a file -- Section 3 Splitting a file -- Section 4 Selecting cases -- Section 5 Recoding values -- Section 6 Computing new variables -- Section 7 Counting values -- Section 8 Ranking cases -- Section 9 Data transformation -- Section 10 Data file for scales or questionnaires -- ch. 5 Tests of difference for one- and two-sample designs -- Section 1 An introduction to t-tests -- Section 2 The one-sample t-test -- Section 3 The independent t-test -- Section 4 The paired t-test -- Section 5 An introduction to nonparametric tests of difference -- Section 6 The Mann -- Whitney test -- Section 7 The Wilcoxon test -- ch. 6 Tests of correlation and bivariate regression -- Section 1 An introduction to tests of correlation -- Section 2 Producing a scattergram -- Section 3 Pearson's r: parametric test of correlation -- Section 4 Spearman's rs: nonparametric test of correlation --

Section 5 Comparing the strength of correlation coefficients -- Section 6 Brief introduction to regression -- Section 7 Bivariate regression -- ch. 7 Tests for nominal data -- Section 1 Nominal data and dichotomous variables -- Section 2 Chi-square test versus the chi-square distribution -- Section 3 The goodness of fit chi-square -- Section 4 The multidimensional chi-square -- Section 5 The McNemar test for repeated measures -- ch. 8 Analysis of variance -- Section 1 An introduction to analysis of variance (ANOVA) -- Section 2 One-way between-subjects ANOVA, planned and unplanned comparisons, and nonparametric equivalent -- Section 3 Two-way between-subjects ANOVA -- Section 4 One-way within-subjects ANOVA, planned and unplanned comparisons, and nonparametric equivalent -- Section 5 Two-way within-subjects ANOVA -- Section 6 Mixed ANOVA -- ch. 9 Multiple regression -- Section 1 An introduction to multiple regression --

Section 2 Standard or simultaneous method of multiple regression -- Section 3 Sequential or hierarchical method of multiple regression -- Section 4 Statistical methods of multiple regression -- ch. 10 Analysis of covariance and multivariate analysis of variance -- Section 1 An introduction to analysis of covariance -- Section 2 Performing analysis of covariance on SPSS -- Section 3 An introduction to multivariate analysis of variance -- Section 4 Performing multivariate analysis of variance on SPSS -- ch. 11 Discriminant analysis and logistic regression -- Section 1 Discriminant analysis and logistic regression -- Section 2 An introduction to discriminant analysis -- Section 3 Performing discriminant analysis using SPSS -- Section 4 An introduction to logistic regression -- Section 5 Performing logistic regression on SPSS -- ch. 12 Factor analysis, and reliability and dimensionality of scales -- Section 1 An introduction to factor analysis --

Section 2 Performing a basic factor analysis using SPSS -- Section 3 Other aspects of factor analysis -- Section 4 Reliability analysis for scales and questionnaires -- Section 5 Dimensionality of scales and questionnaires -- ch. 13 Using syntax and other useful features of SPSS -- Section 1 The Syntax window -- Section 2 Syntax examples -- Section 3 Getting help in SPSS -- Section 4 Option settings in SPSS -- Section 5 Printing from SPSS -- Section 6 Incorporating SPSS output into other documents -- Section 7 SPSS and Excel: importing and exporting data files.

"The definitive guide to IBM SPSS. Combining unbeatable coverage with a tested, accessible style, this book provides you with a step-by-step guide to the software and equips you with the knowledge you need to succeed. Whether you're new to statistical analysis, or a more experienced researcher in need of a refresher, this book is an essential resource that you'll return to time and time again."--Page [4] of cover.