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ERIC Number: EJ955252
Record Type: Journal
Publication Date: 2012-Feb
Pages: 26
Abstractor: As Provided
ISSN: ISSN-1076-9986
The Consequences of Ignoring Individuals' Mobility in Multilevel Growth Models: A Monte Carlo Study
Luo, Wen; Kwok, Oi-man
Journal of Educational and Behavioral Statistics, v37 n1 p31-56 Feb 2012
In longitudinal multilevel studies, especially in educational settings, it is fairly common that participants change their group memberships over time (e.g., students switch to different schools). Participant's mobility changes the multilevel data structure from a purely hierarchical structure with repeated measures nested within individuals and individuals nested within clusters to a cross-classified structure with repeated measures cross-classified by both individuals and clusters. If researchers fail to consider the cross-classified data structure and simply use the hierarchical linear models (HLMs) instead of the more appropriate cross-classified random-effects models (CCREMs) to analyze the data, there will be biases in the estimates of variance components and inaccurate statistical inference regarding the fixed effects. In addition, the impact of such model misspecification depends on factors including the rate of mobility and the pattern of mobility. (Contains 5 figures, 1 table, and 7 notes.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Early Childhood Longitudinal Survey