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SPSS 15 made simple

Paul R. Kinnear, Colin D. Gray

Open publisher page 52 citations

Abstract

Preface. Introduction. Getting started with SPSS 15. Editing and manipulating files. Exploring your data. Graphs and charts. Comparing averages: one-sample and two-sample tests. Introduction to ANOVA the one-factor between subjects experiment. Between subjects factorial experiments. Within subjects experiments. Mixed factorial experiments. Measuring statistical association. Regression. Multiway frequency analysis. The analysis of multiple-response data. Discriminant analysis and logistic regression. Latent variables: exploratory factor analysis & canonical correlation. Revision Exercises. Glossary.

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What this paper is about

Preface. Introduction. Getting started with SPSS 15. Editing and manipulating files. Exploring your data. Graphs and charts. Comparing averages: one-sample and two-sample tests. Introduction to ANOVA the one-factor between subjects experiment. Between subjects factorial experiments. Within subjects experiments. Mixed factorial experiments. Measuring statistical association. Regression. Multiway frequency analysis. The analysis of multiple-response data. Discriminant analysis and logistic regression. Latent variables: exploratory factor analysis & canonical correlation. Revision Exercises. Glossary.

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OpenAlex reports 52 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Preface. Introduction. Getting started with SPSS 15. Editing and manipulating files. Exploring your data. Graphs and charts. Comparing averages: one-sample and two-sample tests. Introduction to ANOVA the one-factor between subjects experiment. Between subjects factorial experiments. Within subjects experiments. Mixed factorial experiments. Measuring statistical association. Regression. Multiway frequency analysis. The analysis of multiple-response data. Discriminant analysis and logistic regression. Latent variables: exploratory factor analysis & canonical correlation. Revision Exercises. Glossary.

Key concepts: Statistics, Linear discriminant analysis, Logistic regression, Factorial analysis, Exploratory data analysis, Factorial, Regression analysis, Sample (material)

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