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ERIC Number: ED448198
Record Type: Non-Journal
Publication Date: 2000-Nov-16
Pages: 47
Abstractor: N/A
Reference Count: N/A
The Pitfalls of Ignoring Multilevel Design in National Datasets.
Roberts, J. Kyle
This paper examines the differences between multilevel modeling and weighted ordinary least squares (OLS) regression for analyzing data from the National Educational Longitudinal Study 1988 (NELS:88). The final sample consisted of 718 students in 298 schools. Eighteen variables from the NELS:88 dataset were used, with the dependent variable being the science item response theory estimated number right standardized t-score. Results from the analyses yield no single criterion for choosing one method over the other, but they do illustrate some theoretical situations when multilevel models are preferred. As contextual effects grow larger, multilevel analyses tend to produce more accurate results of the data. Multilevel techniques also allow the researcher to use statistical analyses that are able to mine more complex data. (Contains 2 tables and 29 references.) (SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A