ERIC Number: EJ1036318
Record Type: Journal
Publication Date: 2013-Oct
Abstractor: As Provided
Reference Count: 56
Analyzing Multilevel Data: Comparing Findings from Hierarchical Linear Modeling and Ordinary Least Squares Regression
Rocconi, Louis M.
Higher Education: The International Journal of Higher Education and Educational Planning, v66 n4 p439-461 Oct 2013
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.
Descriptors: Hierarchical Linear Modeling, Least Squares Statistics, Regression (Statistics), Critical Thinking, College Seniors, Institutional Characteristics, Influences, Data Analysis
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Authoring Institution: N/A