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Modeling Computational Thinking Using Multidimensional Item Response Theory: Investigation into Model Fit and Measurement Invariance

Previous research has been limited regarding the measurement of computational thinking, particularly as a learning progression in K-12. This study proposes to apply a multidimensional item response theory (IRT) model to a newly developed measure of computational thinking utilizing both selected response and open-ended polytomous items to establish the factorial structure of the construct, apply the recently introduced composite and structured constructs models, and to investigate the measurement invariance of the assessment between males and females using the means and covariance structures (MACS) approach.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc2332569
Date05 1900
CreatorsBrown, Emily A.
ContributorsHull, Darrell M., Uanhoro, James, Middlemiss, Wendy, Savage, Melissa N.
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
FormatText
RightsPublic, Brown, Emily A., Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.

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