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V. Foreign Higher Education and Education Systems, International Relations, Bilateral Relations
B. Essays, Commentaries, Statements
Author ROCCONI, Louis M.
Title Analyzing multilevel data : comparing findngs from hierachical linear modeling and ordinary least squares regression
Publication year 2013
Source/Footnote In: Higher education. - 66 (2013) 4, S. 439 - 461
Inventory number 35359
Keywords Ausland : USA : Studenten, Studium, Lehre ; Ausland : USA : Forschung, Hochschullehrer ; Studentenschaft : Studienverhalten
Abstract This study examined the differing conclusions one may come to depending upon the type of analysis chosen, hierarchical linear modeling or ordinary least squares (OLS) regression. To illustrate this point, this study examined the influences of seniors? self-reported critical thinking abilities three ways: (1) an OLS regression with the student as the unit of analysis, (2) an OLS regression with the institution as the unit of analysis, and (3) a three-level hierarchical linear model. Overall, results demonstrate that one would come to substantively different conclusions regarding the influences on students? perceived critical thinking ability depending upon the type of analysis chosen, especially in regards to the effects of the institutional characteristics. (HRK / Abstract übernommen) Rocconi, Louis M., E-Mail: lroconi@indiana.edu