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Showing 1 to 15 of 93 results Save | Export
Sarah Lindstrom Johnson; Ana Maria Meléndez Guevara; Ashley Preves – Grantee Submission, 2023
Introduction: Research suggests that one of the most pervasive consequences of traumatic events is the resulting dysregulation of emotions. Educators, including teachers, administrators, and student services staff, are instrumental in supporting students as they navigate overwhelming emotions by modeling and teaching skills to regulate emotional…
Descriptors: Teachers, Self Efficacy, Emotional Response, Self Management
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Feng, Tianying; Chung, Gregory K. W. K. – Grantee Submission, 2022
A critical issue in using fine-grained gameplay data to measure learning processes is the development of indicators and the algorithms used to derive such indicators. Successful development--that is, developing traceable, interpretable, and sensitive-to-learning indicators--requires understanding the underlying theory, how the theory is…
Descriptors: Games, Data Collection, Learning Processes, Measurement
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Marcelo Andrade da Silva; A. Corinne Huggins-Manley; Jorge Luis Bazan; Amber Benedict – Grantee Submission, 2024
A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…
Descriptors: Q Methodology, Matrices, Item Response Theory, Educational Assessment
Edgar C. Merkle; Oludare Ariyo; Sonja D. Winter; Mauricio Garnier-Villarreal – Grantee Submission, 2023
We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on correlation matrices, from sign indeterminacy of factor loadings, and from order constraints on…
Descriptors: Models, Bayesian Statistics, Correlation, Evaluation Methods
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Ashley L. Watts; Ashley L. Greene; Wes Bonifay; Eiko L. Fried – Grantee Submission, 2023
The p-factor is a construct that is thought to explain and maybe even cause variation in all forms of psychopathology. Since its 'discovery' in 2012, hundreds of studies have been dedicated to the extraction and validation of statistical instantiations of the p-factor, called general factors of psychopathology. In this Perspective, we outline five…
Descriptors: Causal Models, Psychopathology, Goodness of Fit, Validity
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Hadis Anahideh; Nazanin Nezami; Abolfazl Asudeh – Grantee Submission, 2025
It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the predictive modeling pipeline. Given various notions of fairness defined in the literature, investigating the correlation and interaction among metrics is vital for addressing unfairness.…
Descriptors: Correlation, Measurement Techniques, Guidelines, Semantics
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Sarah Fuller; Douglas Lee Lauen; Fatih Unlu – Grantee Submission, 2023
Early college high schools (ECHS) in North Carolina are small public schools of choice on college campuses that seek to promote attaining postsecondary credits in high school, college readiness, and postsecondary enrollment for underrepresented groups. Evidence from randomized control trial (RCT) has shown positive effects of the ECHS model on…
Descriptors: College Preparation, College Bound Students, College Programs, Public Schools
Angus Kittelman; Sterett H. Mercer; Kent McIntosh; Kelsey R. Morris; Heather L. Hatton – Grantee Submission, 2022
District leadership teams perform key roles in building the systems to support schools in the implementation of Positive Behavioral Interventions and Supports (PBIS). However, there is a lack of measures for assessment and progress monitoring specific to district PBIS systems. To address this gap, we evaluated the validity of a measure of…
Descriptors: Positive Behavior Supports, Program Implementation, Program Effectiveness, Measurement
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Dragos-Georgian Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…
Descriptors: Computer Software, Artificial Intelligence, Learning Analytics, Natural Language Processing
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Daniel McNeish – Grantee Submission, 2023
Scale validation is vital to psychological research because it ensures that scores from measurement scales represent the intended construct. Factor analysis fit indices are commonly used to provide quantitative evidence that a proposed factor structure is plausible. However, there is mismatch between guidelines for evaluating fit of factor models…
Descriptors: Factor Analysis, Goodness of Fit, Validity, Likert Scales
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Taya Misheva; M. Elizabeth Barnes; Jason R. Wiles; Sara E. Brownell – Grantee Submission, 2024
The American Association for the Advancement of Science (AAAS) cites evolution as a core concept of biology, yet studies have found that biology students often exhibit low acceptance of evolution. As such, much of evolution education research aims to identify the causes of evolution rejection and develop instructional strategies to increase…
Descriptors: Delphi Technique, Science Instruction, Biology, Evolution
Alexander Alperin; Christopher M. Dudek; Linda A. Reddy; Todd A. Glover; Nicole B. Wiggs; Briana Bronstein – Grantee Submission, 2023
Systematic direct observations (SDOs) and behavior rating scales are integral to multimethod behavioral assessment approaches. The present study investigated the convergent validity of the Behavior Observation of Students in Schools (BOSS) form, a widely utilized SDO system, with the most frequently used teacher rating scales in schools, the…
Descriptors: Elementary School Teachers, Elementary School Students, At Risk Students, Behavior Disorders
Fansher, Madison; Adkins, Tyler J.; Shah, Priti – Grantee Submission, 2022
Media articles often communicate the latest scientific findings, and readers must evaluate the evidence and consider its potential implications. Prior work has found that the inclusion of graphs makes messages about scientific data more persuasive (Tal & Wansink, 2016). One explanation for this finding is that such visualizations evoke the…
Descriptors: Graphs, Correlation, Visual Aids, News Reporting
Lindsey M. Nichols; Christopher M. Fleming; Jonathan A. Pedroza; Kaitlin M. O'Brien; Emily E. Tanner-Smith – Grantee Submission, 2022
Purpose: Psychometrically sound parenting instruments are a critical aid in guiding clinical assessments of adolescent behavioral outcomes, particularly among clinical samples of adolescents. However, there is a paucity of research on these parenting instruments among adolescents with histories of substance use disorders (SUDs) who represent a…
Descriptors: Adolescents, Substance Abuse, Parents, Questionnaires
A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Grantee Submission, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality (AERA, APA, NCME, 2014). Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups (Chapelle, 2021; Xi,…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
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