SPSS Explainedprovides the student with all that they need to undertake statistical analysis using SPSS, guiding the student from the basic rationale behind the statistics, through detailed explanations of the procedures, and finally to all aspects of the SPSS output.
The SPSS output is explained in a unique way: for each part of the output the explanation is divided into both an essentials section and an advanced section. The essentials section covers the basics that the student will need to write up statistics for a research report. The advanced section provides the more advanced student with an explanation for every part of the output to help with further understanding of the statistics.
SPSS Explainedis supported by Perry Hinton's highly successful textbook Statistics Explainedwhich outlines all the major statistical tests used by undergraduates in psychology and the social sciences. Both books will be warmly welcomed by students at all levels, and by the lecturers who teach them.
The authors collectively have many years' experience of teaching statistics to undergraduates in the social sciences. They all have current teaching expertise and deal with student SPSS questions on a daily basis.
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Graphs for data with an independent measures design
Graphs for data with a repeated measures design
Transposing axes SPSS version 12
Editing axes SPSS versions 11 and earlier
Contrasts and multiple pairwise comparisons
One factor repeated measures analysis of variance
Introduction to multivariate
Repeated measures multivariate analysis of variance
Onefactor analysis of variance
Friedman test for related samples
Crosstabulation and chisquare
layered 2 x 3 crosstabulation and chisquare
Working with your dataset
Replacing missing values
Importing data from Excel
Introduction to statistical tests
Concerns about significance testing
The paired samples t test
Wilcoxon signedranks test for related samples
The general linear model
Linear correlation and regression
Introduction to the Kendall taub correlation
Scatterplot procedure SPSS version 12
Introduction to scatterplots through the Interactive command
Introduction to multiple regression
Introduction to factor analysis
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analysis ANOVA appear Assumed assumption calculated Change Chapter chart chi-square choose Click coefficient column command Compare comparisons confidence interval Continue Contrasts correct correlation Count dataset dependent variable Descriptive Statistics difference Display distribution Editor effect entered equal error estimate Exam examine example expect experien explain factor female File frequency gender gives Graphs groups Help hypothesis independent independent measures indicates interaction labels letter Linear Model look main effects male Maths mean method Missing multiple Nonparametric normally novice Options output participants perform plot population post hoc prediction probability procedure produced question ranks ratings referred regression reliability repeated measures Reports samples scale Science scores shown shows significant simple sphericity SPSS advanced SPSS essential Square standard deviation Summaries task test statistic Type variance View week Window workers