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Conceptual Guide to Statistics Using SPSS

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ISBN-10: 1412974062

ISBN-13: 9781412974066

Edition: 2012

Authors: Elliot T. Berkman, Steven P. Reise

List price: $95.00
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Description:

This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself.Each chapter…    
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Book details

List price: $95.00
Copyright year: 2012
Publisher: SAGE Publications, Incorporated
Publication date: 4/12/2011
Binding: Paperback
Pages: 312
Size: 7.50" wide x 9.20" long x 0.70" tall
Weight: 1.408
Language: English

Elliot T. Berkman is Assistant Professor of Psychology and director of the Social and Affective Neuroscience Laboratory at the University of Oregon. He has been teaching statistics to graduate students using SPSS for the past six years. In that time, he has been awarded the UCLA Distinguished Teaching Award and the Arthur J. Woodward Peer Mentoring Award. He has published numerous papers on the social psychological and neural processes involved in goal pursuit. His research on smoking cessation was recognized with the Joseph A. Gengerelli Distinguished Dissertation Award. He received his PhD in 2010 from the University of California, Los Angeles.

Introduction
Descriptive Statistics
Chi-Squared Test
Linear Correlation
One- and Two Sample T-Tests
One-way ANOVA
Two- and Higher-way ANOVA
Within-subject ANOVA
Mixed-model ANOVA
MANOVA
Regression
ANCOVA
Factor and Components Analysis
Psychometrics
Non-parametric Tests
Matrix Algebra
Appendix on the General Formulation of Custom Contrasts using Syntax