Howitt D., Cramer D. Introduction to SPSS Statistics in Psychology: For Version 19 and Earlier

Prentice Hall, 2011. — 568 p. — 5th ed. — ISBN: 0273734261, 9780273734260Introduction to SPSS Statistics in Psychology, 5th edition offers comprehensive and engaging coverage of how to carry out statistical analyses using SPSS Statistics.
Fully updated to include an even wider range of statistical methods and to incorporate the latest version of SPSS Statistics, this text offers clear, step by step instruction and advice to students on using SPSS Statistics to analyze psychological data.For each statistical test, the text discusses
What the test is used for
When you should and shouldn’t use it
Data requirements and any problems in usage
Step by step direction on how to carry out the test, using colour screenshots and labelled guidance on each part of the process
How to interpret and report the output
‘At a glance’ summary of steps taken to do each test
Suitable for students to use alongside lectures or independently when needing to grips with SPSS Statistics.This book is supported by a companion website featuring a range of resources to help students in their studies. Self-test questions, additional datasets plus handy quick guides to carrying out tests can all be found at www.pearsoned.co.uk/howittIntroduction to SPSS Statistics
A brief introduction to statistics
Basics of SPSS Statistics data entry and statistical analysisDescriptive statistics
Describing variables: Tables
Describing variables:Diagrams
Describing variables numerically: Averages, variation and spread
Shapes of distributions of scores
Standard deviation: The standard unit of measurement in statistics
Relationships between two or more variables: Tables
Relationships between two or more variables: Diagrams
Correlation coefficients: Pearson’s correlation and Spearman’s rho
Regression: Prediction with precisionSignificance testing and basic inferential tests
Standard error
The t-test: Comparing two samples of correlated/related/paired scores
The t-test: Comparing two groups of unrelated/uncorrelated scores
Confidence intervals
Chi-square: Differences between unrelated samples of frequency data
McNemar test: Differences between related samples of frequency data
Ranking tests for two groups: Non-parametric statistics
Rts for three or more groups: Non-parametric statisticsAnalysis of variance
The variance ratio test: Using the F-ratio to compare two variances
Analysis of variance (ANOVA): Introduction to the one-way unrelated or uncorrelated ANOVA
Analysis of variance for correlated scores or repeated measures
Two-way analysis of variance for unrelated/uncorrelated scores
Multiple comparisons in ANOVA
Two-way mixed analysis of variance (ANOVA)
Analysis of covariance (ANCOVA)
Multivariate analysis of variance (MANOVA)
Discriminant function analysis (for MANOVA)More advanced correlational statistics
Partial correlation
Factor analysis
Item reliability and inter-rater agreement
Stepwise multiple regression
Simultaneous or standard multiple regression
Simple mediational analysis &nbnbsp
Hierarchical multiple regression
Moderator analysis with continuous predictor variablesAdvanced qualitative or nominal techniques
Log-linear analysis
Multinomial logistic regression
Binomial logistic regressionData handling procedures
Reading ASCII or text files into the Data Editor
Missing values
Recoding values
Computing a scale score with no missing values
Computing a scale score with some values missing
Computing a new group variable from existing group variables
Selecting cases
Samples and populations: Generating a random sample
Inputting a correlation matrix
Checking the accuracy of data inputingLinear structural relationship (LISREL) analysis
Basics of LISREL and LISREL data entry
Confirmatory factor analysis with LISREL
Simple path analysis with measurement error uncorrected
Simple path analysis with latent variables
Simple path analysis controlling for alpha reliabilityOther statistical procedures
Statistical power analysis: Sample size estimation
Meta-analysisAppendix: Some other statistics in SPSS Statistics