Booklet Classification Study.

Autor/inn/en	Hanson, Bradley A.; Bay, Luz; Loomis, Susan Cooper
Institution	ACT, Inc., Iowa City, IA.
Titel	Booklet Classification Study.
Quelle	(1998), (39 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Quantitative Daten; Academic Achievement; Classification; Cutting Scores; Discriminant Analysis; Elementary Education; Geography; Geography Instruction; Nonparametric Statistics; Science Instruction; Sciences; Tables (Data); Test Format; Test Results; United States History; ACT Assessment; National Assessment of Educational Progress + Suchen Sie Ihr Suchwort? Schulleistung; Classification system; Klassifikation; Klassifikationssystem; Diskriminanzanalyse; Elementarunterricht; Geografie; Geography education; Geography lessons; Geografieunterricht; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Science; Wissenschaft; Tabelle; Testentwicklung; Assessment; Eignungsprüfung; Eignungstest; Hochschulzulassung
Abstract	Research studies using booklet classification were implemented by the American College Testing Program to investigate the linkage between the National Assessment of Educational Progress (NAEP) Achievement Levels Descriptions and the cutpoints set to represent student performance with respect to the achievement levels. This paper describes the process and reports the results of the booklet classification study (BCS) implemented for the science achievement levels. It explores the possibility of using booklet classification as a way to set achievement levels by investigating methodologies for computing achievement level cutpoints using booklet classification data. These methodologies were applied to BCS data for science in this study and had been applied to geography and U.S. history. The BCS for science achievement levels involved grades 4 and 8, with 13 panelists for each grade level. Eighteen booklets were selected from NAEP forms, and 22 from other sources. The BCS for science, geography, and U.S. history have all resulted in panelists' classifying student performance at a lower level than plausible values scores indicate. These results indicate that cutpoints computed from booklet classification data would be higher than cutpoints based on the item-by-item rating methods that were used operationally. Procedures using the proportional odds model and nonparametric discriminant analysis were developed as a way to compute Achievement Level cutpoints using booklet classification data. Further refinements to these procedures, especially the nonparametric discriminant analysis, are needed before they could be used operationally to set cutpoints. (Contains 15 tables, 3 figures, and 13 references.) (SLD)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC