Allison J. Ames
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Also affiliated: James Madison University (2016–2019); University of Miami (2012); University of Georgia (2019); University of North Carolina at Greensboro (2014–2015)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Allison J. Ames' research focuses on the application of statistical models and psychometric validation in educational and health-related contexts. Her work includes the development and application of item response theory (IRT) models, as demonstrated by her module on item-fit statistics and her work using SAS PROC MCMC for IRT models. Ames has also investigated ethical reasoning education, evaluating its impact on student learning through module-based programs and debriefing in disaster simulations. Her research extends to health disparities, with a publication analyzing autism and developmental disabilities surveillance reports to inform primary care. Additionally, she has contributed to the psychometric validation of scales, such as the 10-item USDA Food Security Scale for college students.
Metrics
- h-index: 12
- Publications: 37
- Citations: 546
Selected Publications
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Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (2023)
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The Development of a Standardized Effect Size for the SIBTEST Procedure (2022)
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Model-data fit evaluation: posterior checks and Bayesian model selection (2022)
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Simulation studies for psychometrics (2022)
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Accounting for Response Styles: Leveraging the Benefits of Combining Response Process Data Collection and Response Process Analysis Methods (2022)
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Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (2022)
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Analysis of the 2000 to 2018 autism and developmental disabilities monitoring network surveillance reports: Implications for primary care clinicians (2022)
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Implementing a Standardized Effect Size in the POLYSIBTEST Procedure (2022)
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Analysis of a Statewide Early Intervention Program for Young Children with ASD (2021)
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Application of a Longitudinal IRTree Model: Response Style Changes Over Time (2021)
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Measuring Response Style Stability Across Constructs With Item Response Trees (2021)
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Reevaluating the SIBTEST Classification Heuristics for Dichotomous Differential Item Functioning (2021)
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Modeling Changes in Response Style with Longitudinal IRTree Models (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)
Collaboration Network
Top Collaborators
- Validating Rubric Scoring Processes: An Application of an Item Response Tree Model
- Modeling Changes in Response Style with Longitudinal IRTree Models
- Application of a Longitudinal IRTree Model: Response Style Changes Over Time
- Accounting for Response Styles: Leveraging the Benefits of Combining Response Process Data Collection and Response Process Analysis Methods
- Simulation studies for psychometrics
Showing 5 of 7 shared publications
- 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
- Monte Carlo Simulation in Item Response Theory Applications Using SAS
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Implementing a Standardized Effect Size in the POLYSIBTEST Procedure
- Reevaluating the SIBTEST Classification Heuristics for Dichotomous Differential Item Functioning
- The Development of a Standardized Effect Size for the SIBTEST Procedure
- Implementing a Standardized Effect Size in the POLYSIBTEST Procedure
- Reevaluating the SIBTEST Classification Heuristics for Dichotomous Differential Item Functioning
- The Development of a Standardized Effect Size for the SIBTEST Procedure
- Implementing a Standardized Effect Size in the POLYSIBTEST Procedure
- Reevaluating the SIBTEST Classification Heuristics for Dichotomous Differential Item Functioning
- The Development of a Standardized Effect Size for the SIBTEST Procedure
- Implementing a Standardized Effect Size in the POLYSIBTEST Procedure
- Reevaluating the SIBTEST Classification Heuristics for Dichotomous Differential Item Functioning
- The Development of a Standardized Effect Size for the SIBTEST Procedure
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Ethical Reasoning Debriefing in Disaster Simulations
- Ethical Reasoning Debriefing in Disaster Simulations
- Ethical Reasoning Debriefing in Disaster Simulations
- Ethical Reasoning Debriefing in Disaster Simulations
- Psychometric Validation of the 10-Item USDA Food Security Scale for Use with College Students.
- Predicting College Enrollment of Graduating High School Seniors: How Accurate Is Self-Report?
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