A5074289189- Psychometric Methodologies and Testing
- Teaching and Learning Programming
- Advanced Causal Inference Techniques
- Advanced Statistical Modeling Techniques
- Education, Achievement, and Giftedness
- Online Learning and Analytics
- Psychological and Educational Research Studies
- Motivation and Self-Concept in Sports
University of Kansas
2020-2021
Background The importance of reading motivation has led to the development a large number self‐report measures; however, there is still need for usable measure adolescent that captures theoretically and empirically distinct constructs. Methods current paper details validation computer adapted motivation, Adaptive Reading Motivation Measure (ARMM), which assesses constructs curiosity, involvement, interest, value, challenge, grades, recognition, competition, avoidance, self‐efficacy,...
Previous studies indicated that the assumption of logistic form parametric item response functions (IRFs) is violated often enough to be worth checking. Using nonparametric theory (IRT) estimation methods with posterior predictive model checking method can obtain significance probabilities fit statistics in a Bayesian framework by accounting for uncertainty parameter and indicate location magnitude misfit an item. The purpose this study check performance assess IRF IRT models mixed-format...
Abstract Adaptive tests are more efficient than fixed‐length through the use of item response theory; adaptive also present students questions that tailored to their proficiency level. Although algorithm is straightforward, developing a multidimensional computer test (MCAT) measure complex. Evidence‐centered design (ECD) can provide highly structured framework guide development MCAT. In this paper, reading motivation (ARMM) demonstrates process applying ECD MCAT measure. This paper focuses...