NotesFAQContact Us
Collection
Advanced
Search Tips
ERIC Number: ED466778
Record Type: Non-Journal
Publication Date: 2002-Feb-14
Pages: 24
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
A Hierarchical Linear Modeling Approach to Higher Education Research: The Influences of Student and Institutional Characteristics.
Hwang, Dae-Yeop
This paper presents an example using university student satisfaction survey data to demonstrate how to address problems associated with the hierarchical or nested nature of the data. Massive large-scale secondary data have been used in higher education research, and ignoring hierarchically structured data may lead to inaccurate or misleading conclusions. Data for this example are from 1,187 students who completed a satisfaction survey. The paper illustrates the need for multilevel modeling, or hierarchical linear modeling, but does not provide an extensive description of the use of multilevel models. (Contains 18 references.) (Author/SLD)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A