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Introduction to SPSS Statistics in Psychology givesyou a straight-forward way of learning to carry out statistical analyses and use SPSS with confidence. This edition is fully updated to include the latest version of SPSS Statistics, and covers the same wide range of statistical tests that made the previous edition such an trusted guide.
Clear diagrams and screenshots from SPSS version 22 make the text suitable for beginners while the broad coverage of topics ensures that you can continue to use it as you progress to more advanced techniques.
Introduction xvi
Key differences between SPSS Statistics 22 and earlier versions xix
Part 1 Introduction to SPSS Statistics 1
1 A brief introduction to statistics
2 Basics of SPSS Statistics data entry and statistical analysis
Part 2 Descriptive statistics
3 Describing variables: Tables
4 Describing variables: Diagrams
5 Describing variables numerically: Averages, variation and spread
6 Shapes of distributions of scores
7 Standard deviation: The standard unit of measurement in statistics
8 Relationships between two or more variables: Tables
9 Relationships between two or more variables: Diagrams
10 Correlation coefficients: Pearson’s correlation and Spearman’s rho
11 Regression: Prediction with precision
Part 3 Significance testing and basic inferential tests
12 Standard error
13 The t-test: Comparing two samples of correlated/related scores
14 The t-test: Comparing two groups of unrelated/uncorrelated scores
15 Confidence intervals
16 Chi-square: Differences between unrelated samples of frequency data
17 McNemar test: Differences between related samples of frequency data
18 Ranking tests for two groups: Non-parametric statistics
19 Ranking tests for three or more groups: Non-parametric statistics
Part 4 Analysis of variance
20 The variance ratio test: Using the F-ratio to compare two variances
21 Analysis of variance (ANOVA): Introduction to the one-way unrelated or uncorrelated ANOVA
22 Analysis of variance for one-way correlated scores or repeated measures
23 Two-way analysis of variance for unrelated/uncorrelated scores
24 Multiple comparisons in ANOVA
25 Two-way analysis of variance for correlatedscores or repeated measures
26 Two-way mixed analysis of variance (ANOVA)
27 Analysis of covariance (ANCOVA)
28 Multivariate analysis of variance (MANOVA)
29 Discriminant (function) analysis (for MANOVA)
Part 5 More advanced correlational statistics
30 Partial correlation
31 Factor analysis
32 Item reliability and inter-rater agreement
33 Stepwise multiple regression
34 Simultaneous or standard multiple regression
35 Simple mediational analysis
36 Hierarchical multiple regression
37 Moderator analysis with continuous predictor variables
Part 6 Advanced qualitative or nominal techniques
38 Log-linear analysis
39 Multinomial logistic regression
40 Binomial logistic regression
Part 7 Data handling procedures
41 Reading ASCII or text files into the Data Editor
42 Missing values
43 Recoding values
44 Computing a scale score with no missing values
45 Computing a scale scorewith some values missing
46 Computing new groups
47 Selecting cases
48 Samples and populations: Generating a random sample
49 Inputting a correlation matrix
50 Checking accuracy of data input
Part 8 Other statistical procedures
51 Statistical power analysis: Sample size estimation
52 Meta-analysis
Appendix: Some other statistics in SPSS Statistics
Glossary
Index
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