Use of Standard Deviations as Predictors in Models Using Large-Scale International Data Sets

Autor/inn/en	Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad
Titel	Use of Standard Deviations as Predictors in Models Using Large-Scale International Data Sets
Quelle	In: Journal of Experimental Education, 85 (2017) 4, S.559-573 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0973
DOI	10.1080/00220973.2016.1260522
Schlagwörter	Predictor Variables; Models; Predictive Measurement; Statistical Analysis; Student Surveys; Hierarchical Linear Modeling; Statistical Bias; Comparative Analysis; Educational Research; Sample Size; Achievement Tests; Foreign Countries; International Assessment; Secondary School Students; Australia; Finland; Latvia; Mexico; Portugal; Romania; Singapore; Spain; Program for International Student Assessment + Suchen Sie Ihr Suchwort? Prädiktor; Analogiemodell; Statistische Analyse; Schülerbefragung; Bildungsforschung; Pädagogische Forschung; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Ausland; Sekundarschüler; Australien; Finnland; Lettland; Mexiko; Rumänien; Singapur; Spanien
Abstract	Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for Economic Co-operation and Development to examine standard deviation predictors in multilevel models. These predictors and interactions explained additional variation in the dependent variable beyond the control variables. Models using biased and unbiased standard deviations were compared. Meaningful differences were found between the models. Findings supported how standard deviation predictors may increase explanatory power and accuracy of models commonly used in educational research. (As Provided).
Anmerkungen	Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01