Clyde H. Coombs
Born: 22 July 1912
Died: 4 February 1988



POLS 6386 MEASUREMENT THEORY

Spring Semester AY2002-2003
Department of Political Science
University of Houston
Houston, TX, 77204-3011

Classroom: 344 PGH
Time: 1:00PM - 4:00PM Tuesdays


Instructor: Keith T. Poole

Office: 441A Hoffman Hall
E-Mail: kpoole@ucsd.edu
WebSite: Voteview Home Page


The following texts will be used in this course:


Requirements

This course is intended as an extension of POLS 6382 Advanced Multivariate Statistics. The emphasis will be on dimensional analysis, that is, the measurement of latent dimensions in data matrices. A working knowledge of OLS multiple regression analysis and STATA is required for this course. Students will be required to learn Epsilon (EMACS), a screen editor, and two statistical packages -- R and WINBUGS. We will also use a variety of "canned" programs that perform various kinds of dimensional analyses.

Grades will be determined by regularly assigned class problems.


Below are links to my Advanced Multivariate Statistics course web page for the fall of 2001 here at the University of Houston and my Prob-Stat II (required MBA course) web pages from AY1997-98 at Carnegie-Mellon University. These should be helpful if you need to refresh your memory about multiple regression.

POLS 6382 Advanced Multivariate Statistics (UH, fall 2001)

Probability and Statistics II Main Page (CMU Spring 1998)

Useful Links -- EPSILON


EPSILON HomePage -- Lugaru Software Ltd.

Useful Epsilon Commands and Examples


Useful Links -- Multidimensional Scaling


How to Use KYST, A Very Flexible Program to do Multidimensional Scaling and Unfolding


2001 Homeworks


First Homework Assignment
Second Homework Assignment
Third Homework Assignment
Fourth Homework Assignment
Fifth Homework Assignment
Sixth Homework Assignment
Seventh Homework Assignment
Eighth Homework Assignment
Ninth Homework Assignment
Tenth Homework Assignment
Eleventh Homework Assignment

Course Outline


  1. A Geometric Theory of Data

    1. Clyde Coombs' Theory of Data: Similarities and Preferential Choice

      Assignment:

    2. A Review of Linear Algebra

  2. Multidimensional Scaling: Introduction

    1. What Latent Dimensions are and Why they are Important

      Assignment:

    2. An Introduction to Simple Unfolding Analysis

    3. Issue Scales and Perceptual Data

      Assignment:

      • Aldrich, John H. and Richard D. McKelvey. 1977. "A Method of Scaling with Applications to the 1968 and 1972 Presidential Elections." American Political Science Review, 71:111-130.

      • Poole, Keith T. 2001. "The Relationship Between the Aldrich-McKelvey Scaling Solution and the Individual Differences Problem." Manuscript, University of Houston.

      • Sixth Homework Assignment

  3. Multidimensional Unfolding Analysis

    Assignment:

  4. Why Are There So Few Dimensions?

    Assignment: