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2009•Unpublished venueRequires access

SPSS 16 made simple

Paul R. Kinnear, Colin D. Gray

Open publisher page 99 citations

Abstract

Preface. Introduction. Getting Started with SPSS 16. 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. The analysis of multiway contingency tables and multiple-response data. Discriminant Analysis and Logistic Regression. Latent Variables: Exploratory Factor Analysis and Canonical Correlation. Revision Exercises. Glossary.

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What this paper is about

Preface. Introduction. Getting Started with SPSS 16. 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. The analysis of multiway contingency tables and multiple-response data. Discriminant Analysis and Logistic Regression. Latent Variables: Exploratory Factor Analysis and Canonical Correlation. Revision Exercises. Glossary.

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OpenAlex reports 99 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 16. 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. The analysis of multiway contingency tables and multiple-response data. Discriminant Analysis and Logistic Regression. Latent Variables: Exploratory Factor Analysis and Canonical Correlation. Revision Exercises. Glossary.

Key concepts: Contingency table, Statistics, Logistic regression, Linear discriminant analysis, Factorial, Sample (material), Mathematics, Computer science

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