Aaron J. Myers
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Measurement Scientist
Also affiliated: James Madison University (2016–2019); SUNY Geneseo (1996)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Aaron J. Myers' research focuses on the analysis of educational and psychological assessments, as well as the evaluation of early intervention programs. His work has investigated factors influencing test performance, including motivation and response styles, employing statistical models such as Item Response Theory (IRT) trees. Myers has also examined the effectiveness of early intervention services for young children diagnosed with Autism Spectrum Disorder (ASD), analyzing data from a statewide program. His publication record includes studies on motivation in low-stakes testing environments and the validation of scoring processes using rubric-based methods. He has also contributed to research on public sentiment regarding public health policy, specifically concerning the US Federal Tobacco 21 Law.
Myers' scholarship metrics include an h-index of 7, with 118 total publications and 101 citations. He has collaborated with researchers from the University of Arkansas at Fayetteville and the University of Arkansas for Medical Sciences on multiple projects.
Metrics
- h-index: 7
- Publications: 118
- Citations: 101
Positions
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Measurement ScientistAmerican Board of Internal Medicine Research and Innovations ORCID
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Measurement Scientist publications 2019–2023University of Arkansas at Fayetteville ORCID
Selected Publications
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Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint) (2023)
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Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (2023)
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Model-data fit evaluation: posterior checks and Bayesian model selection (2022)
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Reliability and Validity of the 30–15 Intermittent Field Test With and Without a Soccer Ball (2022)
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Analysis of a Statewide Early Intervention Program for Young Children with ASD (2021)
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Explaining Variability in Response Style Traits: A Covariate-Adjusted IRTree (2020)
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Validating Rubric Scoring Processes: An Application of an Item Response Tree Model (2020)
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Digital Module 06: Bayesian Psychometrics—Posterior Predictive Model Checking https://ncme.elevate.commpartners.com (2019)
Collaboration Network
Top Collaborators
- Explaining Variability in Response Style Traits: A Covariate-Adjusted IRTree
- Validating Rubric Scoring Processes: An Application of an Item Response Tree Model
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Model-data fit evaluation: posterior checks and Bayesian model selection
Showing 5 of 6 shared publications
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Model-data fit evaluation: posterior checks and Bayesian model selection
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)
- Validating Rubric Scoring Processes: An Application of an Item Response Tree Model
- Validating Rubric Scoring Processes: An Application of an Item Response Tree Model
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
- Reliability and Validity of the 30–15 Intermittent Field Test With and Without a Soccer Ball
- Reliability and Validity of the 30–15 Intermittent Field Test With and Without a Soccer Ball
- Reliability and Validity of the 30–15 Intermittent Field Test With and Without a Soccer Ball
- Reliability and Validity of the 30–15 Intermittent Field Test With and Without a Soccer Ball
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