Computer-Assisted Research Design and Analysis | 
 enlarge | Authors: Barbara Tabachnick, Linda Fidell
Publisher: Pearson Education
Category: Book
List Price: $140.60
Buy Used: $23.14
You Save: $117.46 (84%)
New (5) Used (17) from $23.14
Avg. Customer Rating:  1 reviews
Sales Rank: 1150152
Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 748
Shipping Weight (lbs): 3
Dimensions (in): 9.4 x 7.4 x 1.4
ISBN: 020532178X
Dewey Decimal Number: 001.4
EAN: 9780205321780
ASIN: 020532178X
Publication Date: June 7, 2000
Availability: Usually ships in 1-2 business days
Condition: USED BOOK WITH HIGHLIGHTING AND WEAR BUT STILL IN PERFECT FOR READING
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Product Description
A comprehensive review of analyses of basic and complex ANOVA models through traditional approaches and multiple regression, integrating the most recent releases of MINTAB, SAS, SPSS, and SYSTAT. In each chapter, the basic model and its numerous complexities are presented along with discussions of effect size, relative efficiency and comparisons, illustrated by many examples. For each major model, the book provides tests for assumptions, a hand-worked example, and an example with real data including a write-up of the results using APA format. Also includes data sets, syntax, and output for accomplishing analyses through recent releases of MINITAB, SAS, SPSS, and SYSTAT, often neglected in software manuals. For anyone interested in research design and analysis; especially appropriate for social sciences.
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| Customer Reviews:
A Comprehensive Text for Graduate Students in Psychology August 16, 2001
6 out of 6 found this review helpful
I highly recommend this book as a text for a first semester graduate level course in statistics and research design or as a text for an advanced undergraduate course. The authors do a wonderful job explaining each statistical test in detail. The best parts of the book are the statistical software (spss, sas, systat, and minitab) printouts. The printouts show readers exactly how to perform their analysis and describes in detail the results. This book should be a prerequisite for Tabachnick & Fidell's Multivariate Statistics text.
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