course focuses on methods for ordering and clustering objects in
space. Participants will be encouraged
to explore alternative methods in 2-3 assignments and analyze their own
sets for the final project. The book
Scaling Methods (Erlbaum, 2004) which is co-authored by Knezek and
includes a CD-ROM of analysis routines will be featured in the course.
P., Knezek, G., Wallace, S., & Zhang, S. (2004). Scaling methods (2nd ed.).
Mahwah, NJ: Lawrence Erlbaum.
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
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)
Intern: Mark Laurent
Instructor: G. Knezek
Voice Mail: 940-565-4195
Technology and Cognition/UNT