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Predictor Variables	2
Statistical Inference	2
Aptitude Treatment Interaction	1
Causal Models	1
Context Effect	1
Educational Research	1
Measurement Techniques	1
Models	1
Multiple Regression Analysis	1
Nonparametric Statistics	1
Regression (Statistics)	1
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International Journal of…	1
Mid-Western Educational…	1

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Han, Tianqi	1
Rupp, Andre A.	1
Sheehan, Janet K.	1

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Information Analyses	2
Journal Articles	2

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Feature Selection for Choosing and Assembling Measurement Models: A Building-Block Organization.

Peer reviewed

Rupp, Andre A. – International Journal of Testing, 2002

Presents an overview of a wide range of measurement models currently available to the analyst who needs to make accurate and valid inferences about respondents and stimuli from data. Reviews models with and without predictor variables or observed and latent predictors, as well as parametric and nonparametric models, and models for order-restricted…

Descriptors: Measurement Techniques, Models, Nonparametric Statistics, Predictor Variables

Hierarchical Modeling Techniques to Analyze Contextual Effects: What Happened to the Aptitude by Treatment Design?

Peer reviewed

Sheehan, Janet K.; Han, Tianqi – Mid-Western Educational Researcher, 1996

Contrasts aptitude by treatment interaction (ATI) and hierarchical linear modeling (HLM) methods for making cross-level inferences between individual-level and group-level factors in school effectiveness research. Recommends HLM when intraclass correlations are high. ATI is suitable when intraclass correlations are low, but partitioning the…

Descriptors: Aptitude Treatment Interaction, Causal Models, Context Effect, Educational Research