Data Theory and Dimensional Analysis

William G. Jacoby

ISBN 10: 0803941781 / ISBN 13: 9780803941786

Published by Sage Publications, Inc., 1991

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - By examining some of the basic scaling questions, such as the importance of measurement levels, the kinds of variables needed for Likert or Guttman scales and when to use multidimensional scaling versus factor analysis, Jacoby introduces readers to the most appropriate scaling strategies for different research situations. He also explores data theory, the study of how real world observations can be transformed into something to be analyzed, in order to facilitate more effective use of scaling techniques.

Seller Inventory # 9780803941786

Bibliographic Details

• Title: Data Theory and Dimensional Analysis
• Publisher: Sage Publications, Inc.
• Publication Date: 1991
• Language: English
• ISBN 10: 0803941781
• ISBN 13: 9780803941786
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 216W x 140H x 6D millimeters 216 millimeters width by 140 millimeters height by 6 millimeters depth
• Weight: 133 grams

About this title

Synopsis

For many readers, data theory is probably unfamiliar. Data isn′t usually the subject matter of theory in and of itself. However, in this volume, William Jacoby introduces a theory of data idea. It examines how real world observations are transformed into something to be analyzed that is, data. Jacoby explores some of the basic ideas of data theory, and considers their implications for research strategies in the social sciences. "Like others in the series, it is reassuringly slim. It is intended for a general social science readership and is a worthwhile read even for experienced data analysts. since it draws attention not only to often overlooked assumptions, but also to often ignored analysis possibilities." --Telephone Surveys "On the whole, this book contains a lot of useful information." --Journal of Classification

About the Author

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.