David J. Weiss Professor N660 Elliott, (612) 625-0342 djweiss@umn.edu Education Ph.D., 1963, University of Minnesota

Statement of Interests

My primary area of interest is computerized adaptive testing (CAT). CAT is the redesign of tests of ability, achievement, interests, personality, attitudes, preferences – or any kind of psychological variable – for delivery by interactive computers. In a CAT, test questions (or items) are selected dynamically by psychometric algorithms programmed into the computer that identify the most efficient and effective set of items to measure each individual. The result of applying CAT is the capability of measuring each individual to a predetermined level of precision, or classifying individuals with predetermined error rates, with a minimum number of items. Most contemporary CAT procedures are based on advanced psychometric models based in item response theory (IRT). Therefore, my interests extend into methodological issues in IRT as they relate to CAT. One topic of particular interest in IRT is that of “person fit,” which is concerned with determining whether a given individual who is being measured on a set of test items is responding in accordance with a specified IRT model. Because CATs are delivered by computers, my third area of interest is mode effects in test administration – do test scores differ when test items are administered by paper-and-pencil versus when they are administered by different electronic media (e.g., dedicated or networked personal computers, or through the Worldwide Web)? My fourth area of interest also relates to computer administration of psychological measuring instruments and is concerned with using the unique capabilities of computer administration of tests to better measure variables that are currently measured by paper-and-pencil or to measure variables that cannot easily be measured by paper-and-pencil. For further information on CAT see my Web site, http://www.psych.umn.edu/psylabs/CATCentral.

Selected Publications

Weiss, D. J. (In press). Computerized adaptive testing for effective and efficient measurement in counseling and education. Measurement and Evaluation in Counseling and Development, Special Issue on Technology in Testing, 2004.

Betz, N. E. & Weiss, D. J. (2001). Validity. In B. Bolton (Ed.), Handbook of measurement and evaluation in rehabilitation, 3rd edition (pp. 49-73). Gaithersburg MD: Aspen Publishers, Inc.

Weiss, D. J. (1995). Improving individual differences measurement with item response theory and computerized adaptive testing. In D. Lubinski & R. V. Dawis (Eds.), Assessing individual differences in human behavior: New concepts, methods, and findings (pp. 49-79). Palo Alto CA: Davies-Black Publishing.