Introduction to SPSS in Psychology

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