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ERIC Number: EJ854292
Record Type: Journal
Publication Date: 2006-Jun
Pages: 14
Abstractor: As Provided
Reference Count: 13
ISBN: N/A
ISSN: ISSN-1443-1475
Suppressor Variables and Multilevel Mixture Modelling
Darmawan, I Gusti Ngurah; Keeves, John P.
International Education Journal, v7 n2 p160-173 Jun 2006
A major issue in educational research involves taking into consideration the multilevel nature of the data. Since the late 1980s, attempts have been made to model social science data that conform to a nested structure. Among other models, two-level structural equation modelling or two-level path modelling and hierarchical linear modelling are two of the techniques that are commonly employed in analysing multilevel data. Despite their advantages, the two-level path models do not include the estimation of cross-level interaction effects and hierarchical linear models are not designed to take into consideration the indirect effects. In addition, hierarchical linear models might also suffer from multicollinearity that exists among the predictor variables. This paper seeks to investigate other possible models, namely the use of latent constructs, indirect paths, random slopes and random intercepts in a hierarchical model. (Contains 4 tables and 11 figures.)
Shannon Research Press. Available from: Australian and New Zealand Comparative and International Education Society. ANZCIES Secretariat, Curtin University, Box U1987, Perth, WA Australia. Tel: +61-8-9266-7106; Fax: +61-8-9266-3222; e-mail: editor@iejcomparative.org; Web site: http://www.iejcomparative.org
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Secondary Education; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Australia