Introduction to SPSS in Psychology

Dennis Howitt and Duncan Cramer are with Loughborough University.

• Part 1 Introduction to SPSS 1 Brief introduction to statistics 2 Basics of SPSS 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 Relationships between two or more variables: Tables 8 Relationships between two or more variables: Diagrams 9 Correlation coefficients: Pearson's correlation and Spearman's rho 10 Regression: Prediction with precision Part 3 Significance testing and basic inferential tests 11 Related t-test: Comparing two samples of related/correlated/paired scores 12 Unrelated t-test: Comparing two groups of unrelated/uncorrelated/independent scores 13 Confidence intervals 14 Chi-square: Differences between unrelated samples of frequency data 15 McNemar's test: Differences between related samples of frequency data 16 Ranking tests for two groups: Non-parametric statistics 17 Ranking tests for three or more groups: Non-parametric statistics Part 4 Analysis of variance 18 Analysis of variance (ANOVA): One-way unrelated or uncorrelated ANOVA 19 Analysis of variance for one-way correlated scores or repeated measures 20 Two-way analysis of variance for unrelated/uncorrelated scores 21 Multiple comparison in ANOVA 22 Analysis of variance for two-way correlated scores or repeated measures 23 Two-way mixed analysis of variance (ANOVA) 24 Analysis of covariance (ANCOVA) 25 Multivariate analysis of variance (MANOVA) Part 5 More advanced statistics 26 Partial correlation 27 Factor analysis 28 Item reliability and inter-rater agreement 29 Stepwise multiple regression 30 Simultaneous or standard multiple regression 31 Simple mediational analysis 32 Hierarchical multiple regression 33 Log-linear analysis 34 Meta-analysis Part 6 Data handling procedures 35 Missing values 36 Recoding values 37 Computing a scale score with some values missing 38 Computing a new group variable from existing group variables 39 Selecting cases 40 Reading ASCII or text files into the Data Editor