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Haladyna, Thomas M. – IDEA Center, Inc., 2018
Writing multiple-choice test items to measure student learning in higher education is a challenge. Based on extensive scholarly research and experience, the author describes various item formats, offers guidelines for creating these items, and provides many examples of both good and bad test items. He also suggests some shortcuts for developing…
Descriptors: Test Construction, Multiple Choice Tests, Test Items, Higher Education

Schanker, Neil B. – American Biology Teacher, 1995
Describes how one instructor developed a biology questionnaire designed to get students interacting and thinking about biology course content on the first day of class. Discusses why student interest is captured, how the questions are made, and how the questionnaire results are used in class. Contains a 15-question true/false questionnaire. (LZ)
Descriptors: Biology, Course Content, High Schools, Higher Education

Sevenair, John P.; Burkett, Allan R. – Journal of Chemical Education, 1988
Describes statistical analyses of tests used for organic chemistry classes and attempts to pose a model to explain the results. Concluded that students who possess a slight grasp of a concept actually have less of a chance of answering an item correctly than those who merely guess. (CW)
Descriptors: Chemistry, College Science, Higher Education, Item Analysis

Boone, E.; De Mey, G. – European Journal of Engineering Education, 1987
Describes the practical workup of a multiple choice examination system in electrical engineering. Discusses some of the pedagogical advantages obtained by statistical handling of the data. Provides some examples of items. (TW)
Descriptors: College Science, Computer Assisted Testing, Computer Uses in Education, Engineering Education
Leuba, Richard J. – Engineering Education, 1986
Promotes the use of machine-scored tests in basic engineering science classes. Discusses some principles and practices of machine-scored testing. Provides several example test items. Argues that such tests can be used to enhance basic understanding of concepts and problem solving skills. (TW)
Descriptors: Automation, College Science, Engineering Education, Evaluation Methods