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ERIC ED608819: A Multilevel Longitudinal Nested Logit Model for Mea...
by ERIC
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This article presents a multilevel longitudinal nested
logit model for analyzing correct response and error
types in multilevel longitudinal intervention data
collected under a pretest-posttest, cluster randomized
trial design. The use of the model is illustrated with a
real data analysis, including a model comparison study
regarding model complexity and cluster bias. Two
substantive research questions regarding the intervention
effect on correct response probability and error patterns
are investigated using the proposed model. The recovery
of item parameters for the proposed model using two
sample size conditions is examined via a simulation
study. The accuracy of the parameter estimates is
comparable with those found in previous studies for the
same family of models, except for the intercept
parameters of correct responses. Finally, the impact of
ignoring cluster membership in the model on the parameter
estimation is also studied by fitting a single-level
model to multilevel data. Ignoring cluster membership in
the model adversely affects the estimation of intercept
parameters in correct and error responses.
Date Published: 2022-07-15 09:16:52
Identifier: ERIC_ED608819
Item Size: 11785976
Language: english
Media Type: texts
# Topics
ERIC Archive; ERIC; Suh, Youngsuk\nCh...
# Collections
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# Uploaded by
@chris85
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