ERIC Number: ED659187
Record Type: Non-Journal
Publication Date: 2024
Pages: 66
Abstractor: As Provided
ISBN: 979-8-3832-0458-0
ISSN: N/A
EISSN: N/A
Modeling Computational Thinking Using Multidimensional Item Response Theory: Investigation into Model Fit and Measurement Invariance
Emily A. Brown
ProQuest LLC, Ph.D. Dissertation, University of North Texas
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. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]
Descriptors: Models, Computation, Thinking Skills, Item Response Theory, Goodness of Fit, Measurement, Error of Measurement, Learning Processes, Elementary Secondary Education, Test Items, Factor Structure, Gender Differences
ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml
Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: 2010314