Alan Cooke's Labbench

This page is a repository for materials related to my research in consumer decision making. It provides access to code that was used to run experiments, data collected for published and working papers, and materials useful in theory development and data analysis. If you have any questions about the materials, send me email. Feel free to use the code or data in your own research, but please credit me. Also, please contact me with any interesting observations you find in these data.

Happy hunting!

Authorware Resources

Much of my experimental research is conducted using Authorware, a multimedia computer-based testing program. For more information about this product, see the Macromedia website. I have set up a system that allows UF students to participate in research over the world wide web, using Authorware. To learn more about this system, visit the WebLab site.

Other useful Authorware links:
Example experiments taken from "Designing Multimedia Experiments using Authorware Attain"
WebLab experimenter's resource page.

Experimental Data and Code

In the below table, clicking on a title will give you an abstract for that paper. Papers may be either published, in press, or working papers. Code and data are both in zip files (pkzip 2.04g), and will always include a readme.txt file that describes the contents more fully. Numbers in the code or data column refer to the experiment number in the paper. If there is no entry in a column, it means that the code or data for that experiment are not available. If you have any questions, of if you find broken links, feel free to email me.

My experiments are either programmed in C, or (more recently) programmed in Macromedia Authorware. If you would like to learn more about Authorware, visit the Macromedia site, or look at my links page for useful links. A "C" in the code column indicates C code, and an "A" indicates Authorware code.

Paper	Code	Data
Satisfaction and Purchase Timing with Multiple Counterfactual Comparisons	C	1 2 3

Theory Development and Data Analysis

I use Chandler's (1969) STEPIT subroutine for much of my quantitative modeling. (I know, it's old, but it does the job!) I spent some time a couple of years ago translating STEPIT into C. If you would like to learn more about STEPIT or download some of my goodies, go to the STEPIT page.

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