Introduction to SPSS in Psychology, 7th Edition

Introduction to SPSS in Psychology, 7th edition is the essential step by step guide to SPSS for students taking their first course in statistics.  This well-established text provides a clear and comprehensive coverage of how to carry out statistical analyses using SPSS.  Full colour SPSS screenshots, clear explanation and a wide ranging coverage make it the perfect companion for students who want to be able to analyse data with confidence.

Table of Contents

Part 1 Introduction to SPSS in Psychology
Chapter 1 Brief Introduction To Statistics
Chapter 2 Basics Of Spss Data Entry And Statistical Analysis

Part 2 Descriptive statistics
Chapter 3 Describing Variables Tabularly
Chapter 4 Describing Variables Diagrammatically
Chapter 5 Describing Variables Numerically: Averages, Variation And Spread
Chapter 6 Shapes Of Distributions Of Scores
Chapter 7 Relationships Between Two Or More Variables Tables
Chapter 8 Relationships Between Two Or More Variables Diagrams
Chapter 9 Correlation Coefficients: Pearson’S Correlation And Spearman’S Rho
Chapter 10 Regression: Prediction With Precision

Part 3 Significance testing and basic inferential tests
Chapter 11 Related T-Test: Comparing Two Samples Of Correlated/Related/Paired Scores
Chapter 12 Unrelated T-Test: Comparing Two Groups Of Unrelated/Uncorrelated Scores
Chapter 13 Confidence Intervals
Chapter 14 Chi-Square: Differences Between Unrelated Samples Of Frequency Data
Chapter 15 Mcnemar’S Test: Differences Between Related Samples Of Frequency Data
Chapter 16 Ranking Tests For Two Groups: Non-Parametric Statistics
Chapter 17 Ranking Tests For Three Or More Groups: Non-Parametric Statistics

Part 4 Analysis of variance
Chapter 18 One-Way Analysis Of Variance (Anova) For Unrelated Or Uncorrelated Scores
Chapter 19 One-Way Analysis Of Variance For Correlated Scores Or Repeated Measures
Chapter 20 Two-Way Analysis Of Variance For Unrelated/Uncorrelated Scores
Chapter 21 Multiple Comparisons In Anova
Chapter 22 Two-Way Analysis Of Variance For Correlated Scores Or Repeated Measures
Chapter 23 Two-Way Mixed Analysis Of Variance
Chapter 24 One-Way Analysis Of Covariance (Ancova)
Chapter 25 One-Way Multivariate Analysis Of Variance (Manova)

Part 5 More advanced statistics
Chapter 26 Partial Correlation
Chapter 27 Factor Analysis
Chapter 28 Item Reliability And Inter-Rater Agreement
Chapter 29 Stepwise Multiple Regression
Chapter 30 Simultaneous Or Standard Multiple Regression
Chapter 31 Simple Mediational Analysis
Chapter 32 Hierarchical Multiple Regression
Chapter 33 Log-Linear Analysis
Chapter 34 Meta-Analysis

Part 6 Data handling procedures
Chapter 35 Missing Values
Chapter 36 Recoding Values
Chapter 37 Computing A Scale Score With Some Values Missing
Chapter 38 Computing A New Group Variable From Existing Group Variables
Chapter 39 Selecting Cases
Chapter 40 Reading Ascii Or Text Files Into The ‘Data Editor’