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On the Benefits of Latent Variable Modeling for Norming Scales: The Case of the "Supports Intensity Scale-Children's Version"
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Seo, Hyojeong; Little, Todd D.; Shogren, Karrie A.; Lang, Kyle M. – International Journal of Behavioral Development, 2016
Structural equation modeling (SEM) is a powerful and flexible analytic tool to model latent constructs and their relations with observed variables and other constructs. SEM applications offer advantages over classical models in dealing with statistical assumptions and in adjusting for measurement error. So far, however, SEM has not been fully used…
Descriptors: Measures (Individuals), Structural Equation Models, Test Norms, Case Studies
On the Benefits of Latent Variable Modeling for Norming Scales: The Case of the "Supports Intensity Scale--Children's Version"
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Seo, Hyojeong; Little, Todd D.; Shogren, Karrie A.; Lang, Kyle M. – Grantee Submission, 2016
Structural equation modeling (SEM) is a powerful and flexible analytic tool to model latent constructs and their relations with observed variables and other constructs. SEM applications offer advantages over classical models in dealing with statistical assumptions and in adjusting for measurement error. So far, however, SEM has not been fully used…
Descriptors: Adolescents, Case Studies, Children, Computation