A Primer of Item Response Theory. Technical Report 940279. [Report No.: CG-941278

Autor/in	Warm, Thomas A.
Institution	Coast Guard Inst., Oklahoma City, OK.
Titel	A Primer of Item Response Theory. Technical Report 940279. [Report No.: CG-941278
Quelle	(1978), (155 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Leitfaden; Unterricht; Lernender; Ability Identification; Achievement Tests; Adaptive Testing; Aptitude Tests; Bayesian Statistics; Computer Programs; Cutting Scores; Equated Scores; Item Analysis; Latent Trait Theory; Maximum Likelihood Statistics; Multiple Choice Tests; Probability; Psychometrics; Scoring Formulas; Statistical Analysis; Test Bias; Test Interpretation; Textbooks + Suchen Sie Ihr Suchwort? Lesson concept; Instruction; Unterrichtsentwurf; Unterrichtsprozess; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Aptitude test; Eignungsprüfung; Eignungstest; Computer program; Computer programme; Computerprogramm; Itemanalyse; Latent-Trait-Modell; Multiple choice examinations; Multiple-choice tests, Multiple-choice examinations; Multiple-Choice-Verfahren; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Psychometry; Psychometrie; Scoring rubrics; Auswertungsbogen; Statistische Analyse; Testkritik; Test analysis; Testauswertung; Textbook; Text book; Schulbuch; Lehrbuch
Abstract	This primer is an introduction to item response theory (also called item characteristic curve theory, or latent trait theory) as it is used most commonly--for scoring multiple choice achievement or aptitude tests. Written for the testing practitioner with minimum training in statistics and psychometrics, it presents and illustrates the basic mathematical concepts needed to understand the theory. Then, building upon those concepts, it develops the basic concepts of item response theory: item parameters, item response function, test characteristic curve, item information functions, test information curve, relative efficiency curve, and score information curve. The maximum likelihood and Bayesian modal estimates of ability are described with illustrative examples. After a discussion of assumptions and available computer programs, some practical applications are presented, i.e. equating scales, tailored testing, item cultural bias, and setting pass-fail cut-offs. (Author/CP)
Anmerkungen	National Technical Information Service, Springfield, Virginia 22161 (AD-A063072, MF $3.00, HC $8.00)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2004/1/01