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Autor/inn/enPike, Gary R.; Rocconi, Louis M.
TitelMultilevel Modeling: Presenting and Publishing the Results for Internal and External Constituents
QuelleIn: New Directions for Institutional Research, (2012) 154, S.111-124 (14 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0271-0579
DOI10.1002/ir.20017
SchlagwörterLearner Engagement; Least Squares Statistics; Critical Thinking; Student Characteristics; Research Methodology; Evaluation Methods; Statistical Analysis; Data Analysis; Higher Education; Decision Making; High Schools; Models; Grades (Scholastic); College Admission; Intellectual Disciplines; Majors (Students); Prediction; Grade Point Average
AbstractMultilevel modeling provides several advantages over traditional ordinary least squares regression analysis; however, reporting results to stakeholders can be challenging. This article suggests some strategies for presenting complex, multilevel data and statistical results to institutional and higher education decision makers. The article is organized around two examples. The first example uses multilevel modeling to evaluate the importance of the sending high school in models of predicted first-year grades that can be used to guide admission decisions, and the focus is on how results can be reported to institutional decision makers. The second example examines the effects of student characteristics and academic disciplines on self-reports of critical thinking. The focus in this example is on how researchers or a national survey organization might present results showing the complex, contingent effects of student engagement and academic major on critical thinking outcomes. (Contains 3 tables and 1 figure.) (ERIC).
AnmerkungenWiley Periodicals, Inc. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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