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Lorch, Elizabeth Pugzles; Horn, Donna G. – Journal of Experimental Child Psychology, 1986
Tests the hypothesis that habituation of attention to irrelevant information can account for within-task improvement in selective attention--that children who are preexposed to stimuli that will later be irrelevant in a speeded classification task will experience less interference than children not given the opportunity to habituate. (HOD)
Descriptors: Age Differences, Attention Control, Classification, Elementary Education
Peer reviewed Peer reviewed
Eastman, Caroline M. – Information Processing and Management, 1988
Summarizes the similarities between classification systems for catalog selection and information retrieval systems, and discusses system characteristics that allow the use of measures such as recall and precision in system evaluation. (27 references) (Author/CLB)
Descriptors: Classification, Comparative Analysis, Evaluation Criteria, Evaluation Methods
Peer reviewed Peer reviewed
Cunningham, J. Barton – Simulation and Games, 1984
Clarifies appropriateness of certain simulation approaches by distinguishing between different types of simulations--experimental, predictive, evaluative, and educational--on the basis of purpose, assumptions, procedures, and criteria for evaluating. The kinds of questions each type best responds to are discussed. (65 references) (MBR)
Descriptors: Classification, Comparative Analysis, Design Requirements, Educational Games
Adelman, Clifford – 1995
This document presents a national tapestry of what is studied where, and by whom, in U.S. colleges, community colleges, and postsecondary trade schools. The "Map" is based on empirical information from national samples of postsecondary transcripts in two national longitudinal studies, the National Longitudinal Study of the High School…
Descriptors: Academic Records, Classification, Colleges, Course Selection (Students)
Peer reviewed Peer reviewed
Baker, Sharon L. – RQ, 1988
A study of genre fiction classification used circulation data and a patron questionnaire to test whether physically separating fiction into categories will increase use; marking spines with category labels will increase use; use of classified fiction will increase with library size; and classification will increase the number of different books…
Descriptors: Analysis of Variance, Classification, Fiction, Library Circulation
Jonassen, David H.; Hannum, Wallace H. – Journal of Instructional Development, 1986
Describes functions comprising task analysis process--inventory, description, selection, sequencing, and analysis--and reviews distinctions between the micro/macro level, top-down/bottom-up, and job/learning task analysis processes. These functions and distinctions are combined into a quasi-algorithm suggesting which of 30 task analysis procedures…
Descriptors: Algorithms, Behavioral Objectives, Classification, Content Analysis
Finegold, Lawrence S.; Rogers, Deborah – 1985
This project investigated the relationship between Air Force Officer Qualifying Test (AFOQT) composite scores and student performance in Air Force air weapons controller training. The purpose of this study was to examine the feasibility of using AFOQT scores as one selection criteria for entry to the air weapons controller field. An analysis of…
Descriptors: Academic Achievement, Admission Criteria, Classification, Comparative Analysis
Peer reviewed Peer reviewed
Sapp, Gregg – RQ, 1986
Describes and evaluates several fiction classification systems from the perspective of how well they answer likely reader queries regarding subjects of novels, and their utility for browsing. The usefulness of subject headings for card catalogs and print and online indexes to enhance topical access to fiction is discussed. (Author/MBR)
Descriptors: Cataloging, Classification, Dewey Decimal Classification, Fiction
van der Linden, Wim J. – 1985
This paper reviews recent research in the Netherlands on the application of decision theory to test-based decision making about personnel selection and student placement. The review is based on an earlier model proposed for the classification of decision problems, and emphasizes an empirical Bayesian framework. Classification decisions with…
Descriptors: Bayesian Statistics, Classification, Cutting Scores, Decision Making