Applications of Computerized Adaptive Testing. Proceedings of a Symposium presented at the Annual Convention of the Military Testing Association (18th, October 1976). Research Report 77-1.

Sonst. Personen	Weiss, David J. (Hrsg.)
Institution	Minnesota Univ., Minneapolis. Dept. of Psychology.
Titel	Applications of Computerized Adaptive Testing. Proceedings of a Symposium presented at the Annual Convention of the Military Testing Association (18th, October 1976). Research Report 77-1.
Quelle	(1977), (64 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Beigaben	Tabellen
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Tagungsbericht; Ability; Achievement Tests; Adaptive Testing; Bayesian Statistics; Branching; Computer Oriented Programs; Criterion Referenced Tests; Cutting Scores; Decision Making; Item Analysis; Latent Trait Theory; Mathematical Models; Measurement; Military Service; Performance Tests; Response Style (Tests); Scoring; Sequential Approach; Test Bias; Test Interpretation; Test Validity; Testing Problems + Suchen Sie Ihr Suchwort? Fähigkeit; Fertigkeit; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Computerprogramm; Decision-making; Entscheidungsfindung; Itemanalyse; Latent-Trait-Modell; Mathematical model; Mathematisches Modell; Messverfahren; Militärdienst; Leistungsermittlung; Leistungsmessung; Antwortverhalten; Bewertung; Schrittfolge; Testkritik; Test analysis; Testauswertung; Testvalidität
Abstract	This symposium consists of five papers and presents some recent developments in adaptive testing which have applications to several military testing problems. The overview, by James R. McBride, defines adaptive testing and discusses some of its item selection and scoring strategies. Item response theory, or item characteristic curve theory, is also described. In the second paper, James B. Sympson explicates the role of latent trait theory in measurement for criterion prediction and in criterion referenced measurement. C. David Vale then discusses the use of adaptive testing procedures to make ability classification decisions (i.e., cutting score decisions). In the fourth paper Steven M. Pine argues that a major problem in current efforts to develop less biased tests is an over-reliance on classical test theory. Item characteristic curve theory is offered as a more appropriate measurement model. In the final paper by Isaac I. Bejar, two relatively recent developments in psychometric theory, the assessment of partial knowledge and research in adaptive testing, are reviewed. (RC)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2004/1/01