Selecting Statistical Techniques for Social Science Data : A Guide for SAS [Paperback]

Frank Andrews (Author), Laura Klem (Contributor)

Book Description

ISBN-10: 1580251188 | ISBN-13: 978-1580251181 | Publication Date: March 20, 1998 | Edition: 1

Take the guesswork out of selecting a statistical technique for social science data! This guide will help you select from the vast array of statistical techniques that can be applied in a particular analysis. It addresses social scientists, data analysts, and graduate students who have some knowledge of social science statistics and who want a systematic, highly condensed overview of many of the statistical techniques in current use and the purposes for which each is intended. Originally published in 1971, this guide has been updated to incorporate current statistical and analytical developments. In addition, you'll find a summary of how each of the techniques is provided through SAS software.

Editorial Reviews

About the Author

Frank M. Andrews, Ph.D.

At the time of his death in 1992, Frank was a Research Scientist at

the Institute for Social Research, Professor of Psychology, and

Professor of Population Planning and International Health, at the

University of Michigan. He received the University's Distinguished

Research Scientist Award in 1990.

Laura Klem

Senior Social Science Research Associate at the Institute for

Social Research and Lecturer in Psychology at the University of

Michigan. She teaches and consults on topics of data analysis.

Patrick M. O'Malley, Ph.D.

Senior Research Scientist at the University of Michigan. He has

published extensively on the epidemiology and etiology of use and

abuse of psychoactive drugs, including the policy implications of

the research.

Willard L. Rodgers, Ph.D.

Senior Research Scientist at the Institute for Social Research and

Adjunct Professor in the Sociology Department at the University of

Michigan and in the Joint Program in Survey Methodology at the

University of Maryland. He teaches courses on the analysis of

survey data and the analysis of complex survey data.

Kathleen B. Welch

Statistical Software Consultant at the University of Michigan.

She has over 10 years experience using SAS software and has

developed and continues to teach several SAS software courses

along with providing SAS technical support for the University.

Terrence N. Davidson, Ph.D.

Served on the University of Michigan faculty for twenty years.

In the mid-1980's he shifted his career into the K-12 public

school sector conducting a variety of research and project

activities.

Product Details

• Paperback: 112 pages
• Publisher: SAS Publishing; 1 edition (March 20, 1998)
• Language: English
• ISBN-10: 1580251188
• ISBN-13: 978-1580251181
• Product Dimensions: 10.3 x 8.1 x 0.6 inches
• Shipping Weight: 11.4 ounces (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #1,311,100 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

1 of 1 people found the following review helpful:

5.0 out of 5 stars Statistics for Everyman, August 8, 2011

By 

C. J. Clavadetscher "quickshot carl" (Herndon, VA United States) - See all my reviews
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Amazon Verified Purchase

This review is from: Selecting Statistical Techniques for Social Science Data : A Guide for SAS (Paperback)

This book is a third edition update and expansion of a real classic, a really useful classic. It is a comprehensive decision tree of data types, statistical needs, matched up with appropriate SAS statistical techniques. Nothing else even close to being like it. The second edition, Univ of Mich press, is a collectors item. This is a really useful expansion. If you do research statistics other than the really basic stuff, this is a necessary and modestly priced desk reference.

1 of 10 people found the following review helpful:

5.0 out of 5 stars Good delivery, March 9, 2006

By 

Jan Rommel - See all my reviews
(REAL NAME)   

This review is from: Selecting Statistical Techniques for Social Science Data : A Guide for SAS (Paperback)

Nice, fast delivery and the book is of excellent quality, no damage or problems at all.