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Matthew J. Madison; Seungwon Chung; Junok Kim; Laine P. Bradshaw – Grantee Submission, 2023
Recent developments have enabled the modeling of longitudinal assessment data in a diagnostic classification model (DCM) framework. These longitudinal DCMs were developed to provide measures of student growth on a discrete scale in the form of attribute mastery transitions, thereby supporting categorical and criterion-referenced interpretations of…
Descriptors: Models, Cognitive Measurement, Diagnostic Tests, Classification
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Lientje Maas; Matthew J. Madison; Matthieu J. S. Brinkhuis – Grantee Submission, 2024
Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due…
Descriptors: Clinical Diagnosis, Classification, Models, Psychometrics
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Madeline A. Schellman; Matthew J. Madison – Grantee Submission, 2024
Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
Jing Ouyang; Gongjun Xu – Grantee Submission, 2022
Latent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5-32, 2004) studied the…
Descriptors: Item Response Theory, Models, Identification, Psychological Studies
Lin, Qiao; Xing, Kuan; Park, Yoon Soo – Grantee Submission, 2020
During the past decade, cognitive diagnostic models (CDMs) have become prevalent in providing diagnostic information for learning. Cognitive diagnostic models have generally focused on single cross-sectional time points. However, longitudinal assessments have been commonly used in education to assess students' learning progress as well as…
Descriptors: Cognitive Measurement, Growth Models, Educational Diagnosis, Longitudinal Studies
Lauren Kennedy; Daniel Simpson; Andrew Gelman – Grantee Submission, 2019
Cognitive modelling shares many features with statistical modelling, making it seem trivial to borrow from the practices of robust Bayesian statistics to protect the practice of robust cognitive modelling. We take one aspect of statistical workflow--prior predictive checks--and explore how they might be applied to a cognitive modelling task. We…
Descriptors: Models, Cognitive Measurement, Experiments, Statistical Analysis
Natalie A. Koziol; Christiana D. Butera; Kari S. Kretch; Regina T. Harbourne; Michele A. Lobo; Sarah W. McCoy; Lin-Ya Hsu; Sandra L. Willett; Audrey E. Kane; James A. Bovaird; Stacey C. Dusing – Grantee Submission, 2022
Aims: This study evaluated whether caregiver-provided learning opportunities moderated the effect of START-Play physical therapy intervention on the cognitive skills of young children with neuromotor delays, and whether START-Play impacted caregiver-provided learning opportunities over time. Methods: One hundred and twelve children with neuromotor…
Descriptors: Child Caregivers, Intervention, Physical Therapy, Thinking Skills
Hudson Golino; Angeline S. Lillard; Ian Becker; Alexander P. Christensen – Grantee Submission, 2021
The current paper investigates the structural validity of the Children's Concentration and Empathy Scale (CCES), which was designed based on Montessori's developmental theory to assess, using teacher ratings, the coherence of attention-related characteristics (concentration, empathy, and normalization) in children from 1.5 to 12 years old. The…
Descriptors: Child Development, Cognitive Development, Attention Control, Executive Function
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Sabatini, John; O'Reilly, Tenaha; Wang, Zuowei; Dreier, Kelsey – Grantee Submission, 2018
This book is a testament to the increasing role and importance of multiple source use in everyday and academic literacy activities in the 21st century. How should we introduce the topic of multiple sources here? For most readers, we need not, because this chapter is not their first literacy stop in the volume, so the topic has been adequately…
Descriptors: Vignettes, Information Sources, Reading Comprehension, Reading Tests
Ng, Shukhan; Payne, Brennan R.; Steen, Allison A.; Stine-Morrow, Elizabeth A. L.; Federmeier, Kara D. – Grantee Submission, 2017
We employed self-paced reading and event-related potential measures to investigate how adults of varying literacy levels use sentence context information when reading. Community-dwelling participants read strongly and weakly constraining sentences that ended with expected or unex- pected target words. Skilled readers showed N400s that were graded…
Descriptors: Adult Basic Education, Adult Literacy, Adults, Cognitive Measurement
Clarke, Ben; Shanley, Lina; Kosty, Derek; Baker, Scott K.; Cary, Mari Strand; Fien, Hank; Smolkowski, Keith – Grantee Submission, 2018
The purpose of this study was to investigate the incremental validity of a set of domain general cognitive measures added to a traditional screening battery of early numeracy measures. The sample consisted of 458 kindergarten students of whom 285 were designated as severely at-risk for mathematics difficulty. Hierarchical multiple regression…
Descriptors: Mathematics Instruction, Screening Tests, At Risk Students, Cognitive Measurement
Willoughby, Michael T. – Grantee Submission, 2014
The focus article (Willoughby et al., 2014) (1) introduced the distinction between formative and reflective measurement and (2) proposed that performance-based executive function tasks may be better conceptualized from the perspective of formative rather than reflective measurement. This proposal stands in sharp contrast to conventional…
Descriptors: Executive Function, Formative Evaluation, Cognitive Measurement, Factor Analysis