Research Design and Statistical Analysis

ISBN-10: 0805840370
ISBN-13: 9780805840377
Edition: 2nd 1995 (Revised)
List price: $105.95
30 day, 100% satisfaction guarantee

If an item you ordered from TextbookRush does not meet your expectations due to an error on our part, simply fill out a return request and then return it by mail within 30 days of ordering it for a full refund of item cost.

Learn more about our returns policy

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  More...

what's this?
Rush Rewards U
Members Receive:
coins
coins
You have reached 400 XP and carrot coins. That is the daily max!

Study Briefs

Limited time offer: Get the first one free! (?)

All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.

Add to cart
Study Briefs
Periodic Table Online content $4.95 $1.99
Add to cart
Study Briefs
Calculus 1 Online content $4.95 $1.99
Add to cart
Study Briefs
Algebra Online content $4.95 $1.99

Customers also bought

Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading

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

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 the integration of non-parametric techniques into relevant design chapters, rather than in a single, isolated chapter. This organization allows for the comparison of the pros and cons of alternative procedures within the research context to which they apply. Basic concepts, such as sampling distributions, expected mean squares, design efficiency, and statistical models are emphasized throughout. This approach provides a stronger conceptual foundation in order to help the reader generalize the concepts to new situations they will encounter in their research and to better understand the advice of statistical consultants and the content of articles using statistical methodology. The second edition features a greater emphasis on graphics, confidence intervals, measures of effect size, power analysis, tests of contrasts, elementary probability, correlation, and regression. A Free CD that contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats, is included in the back of the book. An Instructor's Solutions Manual, containing the intermediate steps to all of the text exercises, is available free to adopters.

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

×
Free shipping on orders over $35*

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

Learn more about the TextbookRush Marketplace.

×