SPSS for psychologists : (and everybody else). / Nicola Brace, Richard Kemp, Rosemary Snelgar.

Bibliographic Details
Main Authors:	Brace, Nicola (Author) Kemp, Richard, 1960- (Author) Snelgar, Rosemary (Author)
Language:	English
Published:	New York, N.Y. : Routledge, 2016.
Edition:	6th edition.
Subjects:	Psychology > Statistical methods. Psychometrics > Data processing. Psychometrics.
Physical Description:	xiii, 419 pages : illustrations ; 25 cm
Format:	Book

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.