Methods for Addressing Missing Data with Applications from ACS Exams

Autor/inn/en	Brandriet, Alexandra; Holme, Thomas
Titel	Methods for Addressing Missing Data with Applications from ACS Exams
Quelle	In: Journal of Chemical Education, 92 (2015) 12, S.2045-2053 (9 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0021-9584
DOI	10.1021/acs.jchemed.5b00180
Schlagwörter	Chemistry; Data Analysis; Error of Measurement; Science Tests; Computation; Item Response Theory; Statistical Bias; Simulation; Evaluation Methods + Suchen Sie Ihr Suchwort? Chemie; Auswertung; Messfehler; Item-Response-Theorie; Simulation program; Simulationsprogramm
Abstract	As part of the ACS Examinations Institute (ACS-EI) national norming process, student performance data sets are collected from professors at colleges and universities from around the United States. Because the data sets are collected on a volunteer basis, the ACS-EI often receives data sets with only students' total scores and without the students' responses to individual exam questions. Nonetheless, several national norming statistics require students' item responses. This data return leads to missing data and potentially biased results when inferences are made based on that data set. This work uses student performance data sets from ACS-EI to consider how methods for replacing missing data, such as hot-deck imputation and simulating data, affect the nature of the analysis of quantitative data. (As Provided).
Anmerkungen	Division of Chemical Education, Inc and ACS Publications Division of the American Chemical Society. 1155 Sixteenth Street NW, Washington, DC 20036. Tel: 800-227-5558; Tel: 202-872-4600; e-mail: eic@jce.acs.org; Web site: http://pubs.acs.org/jchemeduc
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01