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Statistical Graphics for Visualizing Multivariate Data, Volume 120

Contributor(s): Jacoby, William G (Author)

ISBN: 9780761908999

Publisher: Sage Publications, Inc

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Pub Date: February 6, 1998

Dewey: 001.4226

LCCN: 97045244

Lexile Code: 0000

Features: Bibliography, Illustrated, Table of Contents

Target Age Group: NA to NA

Physical Info: 0.27" H x 7.98" L x 6.00" W ( 0.30 lbs) 112 pages

BISAC Categories:

Medical | General | Social Science | Research

Series: Quantitative Applications in the Social Sciences

Descriptions, Reviews, etc.

Description: This book explores a variety of graphical displays that are useful for visualizing multivariate data. The basic problem involves representing information that varies along several dimensions when the display medium is inherently two-dimensional. In order to address this problem, Jacoby introduces and explores the concept of a `data space′.

Brief description: William G. Jacoby is a Professor in the Department of Political Science at Michigan State University. He is also a Research Scientist at the University of Michigan, where he serves as Director of the Inter-University Consortium for Political and Social Research (ICPSR) Summer Training Program in Quantitative Methods of Social Research.
Professor Jacoby joined the MSU faculty in 2003. Previously, he held positions at the University of South Carolina, Ohio State University, and the University of Missouri. He received his Ph.D. from the University of North Carolina, Chapel Hill in 1983.
Professor Jacoby′s main professional interests are mass political behavior (public opinion, political attitudes, voting behavior) and quantitative methodology (measurement theory, scaling methods, statistical graphics, modern regression). His current research focuses on citizen ideology and belief system organization, value choices and their implications for subsequent political orientations, measuring policy priorities in the American states, the implications of measurement assumptions for statistical models, and graphical strategies for data analysis.
Recently, Professor Jacoby has taught courses on public opinion, regression analysis, scaling methods, and statistical graphics.

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