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ERIC Number: EJ776343
Record Type: Journal
Publication Date: 2007
Pages: 14
Abstractor: Author
Reference Count: 44
ISSN: ISSN-1598-1037
Comparison of Three Growth Modeling Techniques in the Multilevel Analysis of Longitudinal Academic Achievement Scores: Latent Growth Modeling, Hierarchical Linear Modeling, and Longitudinal Profile Analysis via Multidimensional Scaling
Shin, Tacksoo
Asia Pacific Education Review, v8 n2 p262-275 2007
This study introduces three growth modeling techniques: latent growth modeling (LGM), hierarchical linear modeling (HLM), and longitudinal profile analysis via multidimensional scaling (LPAMS). It compares the multilevel growth parameter estimates and potential predictor effects obtained using LGM, HLM, and LPAMS. The purpose of this multilevel growth analysis is to alert applied researchers to selected analytical issues that are required for consideration in decisions to apply one of these three approaches to longitudinal academic achievement studies. The results indicated that there were no significant distinctions on either mean growth parameter estimates or on the effects of potential predictors to growth factors at both the student and school levels. However, the study also produced equivocal findings on the statistical testing of variance and covariance growth parameter estimates. Other practical issues pertaining to the three growth modeling methods are also discussed. (Contains 4 tables, 1 figure and 4 notes.)
Education Research Institute, Seoul National University. Department of Education, 599 Kwanak-Ro, Kwanak-Gu, Seoul 151-748, South Korea. Tel: +82-2-880-5896; Fax: +82-2-889-6508; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Elementary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A