Scaling Methods

(CECS 6800.030)


This course focuses on methods for ordering and clustering objects in psychological space. Participants will be encouraged to explore alternative methods in 2-3 assignments and analyze their own data sets for the final project.  The book Scaling Methods (Erlbaum, 2004) which is co-authored by Knezek and which includes a CD-ROM of analysis routines will be featured in the course.

Text: Dunn-Rankin, P., Knezek, G., Wallace, S., & Zhang, S. (2004). Scaling methods (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.

Text Errata

Meeting Dates: Thu. June 7, June 14, June 21, July 12, July 26, Aug. 2 (6:30 to 9:30 pm), Matthews 308. (Tutorial Exercises begin at 5:30pm)

Description of the Assignments: 

Assignment 1: Unidimensional scaling exercise

Assignment 2: Multidimensional scaling exercise

Assignment 3: Cluster or factor analysis (searching for minimal necessary dimensions)

Final Project: Apply three or more techniques to own set of data; teach one technique to class

Final Presentations

Grading:
Online participation: 10 pts.
Inclass participation: 10 pts.
Three Assignments:  30 pts. (develop instrument, administer, code/enter data)
Final project: 50 pts. (apply three or more scaling techniques, suggest improvements; 10 pts presentation of paper, 15 points teaching class 1 technique, 25 points written paper)


Audio:



Contact Information:
Instructor: G. Knezek
Voice Mail: 940-565-4195
FAX 940-565-2185
Email: gknezek@gmail.com

Intern: Mark Laurent
Email: mal7500@dcccd.edu

Mailing Address:
Technology and Cognition/UNT
P.O. Box 311335
Denton, TX  76203