Title: Double serial correlation for multilevel growth curve models
Authors: Anumendem, Dickson ×
Verbeke, Geert
De Fraine, Bieke
Onghena, Patrick
Van Damme, Jan #
Issue Date: 2013
Publisher: Kluwer Academic Publishers
Series Title: Quality and Quantity vol:47 issue:3 pages:1413-1427
Abstract: Multilevel growth curve models for repeated measures data have become increasingly popular and stand as a flexible tool for investigating longitudinal change in students’ outcome variables. In addition, these models allow the estimation of school effects on students’ outcomes though making strong assumptions about the serial independence of level-1 residuals. This paper introduces a method which takes into account the serial correlation of level-1 residuals and also introduces such serial correlation at level-2 in a complex double serial correlation (DSC) multilevel growth curve model. The results of this study from both real and simulated data show a great improvement in school effects estimates compared to those that have previously been found using multilevel growth curve models without correcting for DSC for both the students’ status and growth criteria.
Description: DOI: 10.1007/s11135-011-9598-7
ISSN: 0033-5177
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Educational Effectiveness and Evaluation
Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat)
Methodology of Educational Sciences
× corresponding author
# (joint) last author

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