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Research Design and Statistical Analysis

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ISBN-10: 0805840370

ISBN-13: 9780805840377

Edition: 2nd 1995 (Revised)

Authors: Jerome L. Myers, Arnold D. Well

List price: $105.95
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Description:

This book emphasizes the statistical concepts and assumptions necessary to describe and make inferences about real data. Throughout the book the authors encourage the reader to plot and examine their data, find confidence intervals, use power analyses to determine sample size, and calculate effect sizes. The goal is to ensure the reader understands the underlying logic and assumptions of the analysis and what it tells them, the limitations of the analysis, and the possible consequences of violating assumptions. The simpler, less abstract discussion of analysis of variance is presented prior to developing the more general model. A concern for alternatives to standard analyses allows for…    
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Book details

List price: $105.95
Edition: 2nd
Copyright year: 1995
Publisher: Routledge
Publication date: 11/1/2002
Binding: Hardcover
Pages: 736
Size: 7.00" wide x 10.00" long x 1.50" tall
Weight: 3.432
Language: English

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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