ERIC Number: EJ1118658
Record Type: Journal
Publication Date: 2017
Pages: 21
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0022-0973
EISSN: N/A
A Comparison of Techniques for Handling and Assessing the Influence of Mobility on Student Achievement
Smith, Lindsey J. Wolff; Beretvas, S. Natasha
Journal of Experimental Education, v85 n1 p3-23 2017
Conventional multilevel modeling works well with purely hierarchical data; however, pure hierarchies rarely exist in real datasets. Applied researchers employ ad hoc procedures to create purely hierarchical data. For example, applied educational researchers either delete mobile participants' data from the analysis or identify the student only with the last school attended while including an explanatory variable indicating whether a student is mobile. This simulation study compared the parameter and standard error estimates of these two ad hoc procedures for handling and assessing the influence of mobility on outcomes with results based on use of the multiple membership random effects model. Substantial bias was found for some parameters when multiple membership data structures were ignored.
Descriptors: Student Mobility, Academic Achievement, Simulation, Influences, At Risk Students, Hierarchical Linear Modeling, Educational Research, Children, Longitudinal Studies, Surveys, Grade 3, Item Response Theory, Markov Processes, Monte Carlo Methods
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Publication Type: Journal Articles; Reports - Research
Education Level: Grade 3; Primary Education; Elementary Education; Early Childhood Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Early Childhood Longitudinal Survey
Grant or Contract Numbers: N/A