Introduction to SPSS in Psychology, 6th edition

By: Dennis Howitt & Duncan Cramer
September 2014
Pearson Education
Distributed by Trans-Atlantic Publications Inc.
ISBN: 9781292000695
554 Pages, Illustrated
$72.50 Paper Original


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