ERIC Number: EJ1113254
Record Type: Journal
Publication Date: 2016-Oct
Abstractor: As Provided
Construct Meaning in Multilevel Settings
Stapleton, Laura M.; Yang, Ji Seung; Hancock, Gregory R.
Journal of Educational and Behavioral Statistics, v41 n5 p481-520 Oct 2016
We present types of constructs, individual- and cluster-level, and their confirmatory factor analytic validation models when data are from individuals nested within clusters. When a construct is theoretically individual level, spurious construct-irrelevant dependency in the data may appear to signal cluster-level dependency; in such cases, however, and consistent with theory, a single-level analysis with a correction for dependency may be appropriate. Regarding cluster-level constructs, we discuss two types--shared and configural--and present appropriate validation models. Illustrative validation analyses with individual, shared, and configural constructs are provided using empirical data as well as simple simulations demonstrating the spurious effects that can occur with nested data. The article concludes with future directions to be examined in construct validation in multilevel settings.
Descriptors: Multivariate Analysis, Factor Analysis, Validity, Models, Reliability, Correlation, Children, Longitudinal Studies, Surveys, Hierarchical Linear Modeling
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Early Childhood Longitudinal Survey
Grant or Contract Numbers: N/A