A Primer for Analyzing Nested Data: Multilevel Modeling in SPSS Using an Example from a REL Study. REL 2015-046

Autor/inn/en	O'Dwyer, Laura M.; Parker, Caroline E.
Institution	Regional Educational Laboratory Northeast & Islands (ED); National Center for Education Evaluation and Regional Assistance (ED); Education Development Center, Inc. (EDC)
Titel	A Primer for Analyzing Nested Data: Multilevel Modeling in SPSS Using an Example from a REL Study. REL 2015-046
Quelle	(2014), (23 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Multiple Regression Analysis; Statistical Analysis; Data; Models; Hierarchical Linear Modeling; English Language Learners; Least Squares Statistics; Student Characteristics; Institutional Characteristics; Statistical Significance; Predictor Variables; Connecticut + Suchen Sie Ihr Suchwort? Statistische Analyse; Daten; Analogiemodell; Prädiktor
Abstract	Analyzing data that possess some form of nesting is often challenging for applied researchers or district staff who are involved in or in charge of conducting data analyses. This report provides a description of the challenges for analyzing nested data and provides a primer of how multilevel regression modeling may be used to resolve these challenges. An illustration from the companion report, The correlates of academic performance for English language learner students in a New England district (REL 2014-020), is provided to show how multilevel modeling procedures are used and how the results are interpreted. "Step by step procedure for using the Advanced Statistics module of SPSS IBM Statistics" is appended. (As Provided).
Anmerkungen	Regional Educational Laboratory Northeast & Islands. Available from: Institute of Education Sciences. 555 New Jersey Avenue NW, Washington, DC 20208. Tel: 800-872-5327; Web site: http://ies.ed.gov/ncee/edlabs/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10