This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in Web of Science Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Kluge, A. Search for Related Content Social Bookmarking                         What's this?

Performance Assessments With Microworlds and Their Difficulty

Universität St. Gallen, Switzerland, annette.kluge{at}unisg.ch

The use of microworlds (MWs), or complex dynamic systems, in educational testing and personnel selection is hampered by systematic measurement errors because these new and innovative item formats are not adequately controlled for their difficulty. This empirical study introduces a way to operationalize an MW's difficulty and demonstrates the strong effects of variations in it. A rationale for predicting an MW's difficulty (number and quality of relationships between the same number of variables) is tested for difficulty's impact on assessed performance. As the number of relationships increases, control performance, acquired knowledge, and self-efficacy as moderating variables decrease. Analysis of knowledge types (qualitative and quantitative) shows that system difficulty affects quantitative knowledge more than it does qualitative knowledge.

Key Words: microworlds • performance assessment • difficulty • control performance • knowledge • self-efficacy

Applied Psychological Measurement, Vol. 32, No. 2, 156-180 (2008)
DOI: 10.1177/0146621607300015


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?