Data Theory and Dimensional Analysis by William G Jacoby

Data Theory and Dimensional Analysis by William G Jacoby

Considers how real-world observations can be interpreted to convert them into data to be analyzed, so as to facilitate more effective use of scaling techniques. The text introduces the most appropriate scaling strategies for different research situations.

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.

SKU	Unavailable
ISBN 13	9780803941786
ISBN 10	0803941781
Title	Data Theory and Dimensional Analysis
Author	William G Jacoby
Series	Quantitative Applications In The Social Sciences
Condition	Unavailable
Binding Type	Paperback
Publisher	SAGE Publications Inc
Year published	1991-04-11
Number of pages	96
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.