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Research Design and Statistical Analysis / Edition 1
     

Research Design and Statistical Analysis / Edition 1

by Jerome L. Myers, Arnold D. Well
 

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ISBN-10: 0673464148

ISBN-13: 9780673464149

Pub. Date: 03/28/1991

Publisher: Addison-Wesley Educational Publishers, Inc.

Adopting an intuitive, informal style, this text emphasizes the statistical concepts and assumptions needed to describe and make inferences about real data. The volume's 21 chapters address topics including univariate distributions; the chi-square and F distributions; contrasts among means; trend analysis; repeated- measures designs; hierarchical designs; Latin

Overview

Adopting an intuitive, informal style, this text emphasizes the statistical concepts and assumptions needed to describe and make inferences about real data. The volume's 21 chapters address topics including univariate distributions; the chi-square and F distributions; contrasts among means; trend analysis; repeated- measures designs; hierarchical designs; Latin squares and related designs; correlation and bivariate regression; and multiple regression. Includes major content and organizational revisions from the previous edition. Suitable for graduate and advanced undergraduate students learning about data analysis, as well as for researchers. Annotation c. Book News, Inc., Portland, OR

Product Details

ISBN-13:
9780673464149
Publisher:
Addison-Wesley Educational Publishers, Inc.
Publication date:
03/28/1991
Pages:
600

Related Subjects

Table of Contents

Contents: Preface. Introduction. Looking at Data: Univariate Distributions. Looking at Data: Relations Between Quantitative Variables. Probability and the Binomial Distribution. Estimation and Hypothesis Tests: The Normal Distribution. Estimation, Hypothesis Tests, and Effect Size: The t Distribution. The Chi Square and F Distributions. Between Subjects Designs: One Factor. Contrasts Among Means. Trend Analysis. Multifactor Between-Subjects Designs: Significance Tests in the Two-Way Case. Multifactor Between-Subjects Designs: Further Developments. Repeated-Measures Designs. Mixed Designs: Between-Subjects and Within-Subjects Factors. Using Concomitant Variables to Increase Power: Blocking and Analysis of Covariance. Hierarchical Designs. Latin Squares and Related Designs. More About Correlation. More About Bivariate Regression. Multiple Regression. Regression With Categorical and Quantitative Variables: The General Linear Model. t Distribution. The Chi Square and F Distributions. Between Subjects Designs: One Factor. Contrasts Among Means. Trend Analysis. Multifactor Between-Subjects Designs: Significance Tests in the Two-Way Case. Multifactor Between-Subjects Designs: Further Developments. Repeated-Measures Designs. Mixed Designs: Between-Subjects and Within-Subjects Factors. Using Concomitant Variables to Increase Power: Blocking and Analysis of Covariance. Hierarchical Designs. Latin Squares and Related Designs. More About Correlation. More About Bivariate Regression. Multiple Regression. Regression With Categorical and Quantitative Variables: The General Linear Model. Appendices: Notation and Summation Operations. Expected Values and Their Applications. Statistical Tables.

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