جست‌وجوی استاد و پژوهشگر

Justin Kernمشاهده پروفایل

دانشیار

• Educational Measurement
• Psychological Measurement
• Item Response Theory (IRT)
• +۶ مورد دیگر

Justin Kern is an Associate Professor in the Department of Educational Psychology at the University of Illinois, Urbana-Champaign . He earned his Ph.D. in Quantitative Psychology (2017) and holds additional graduate degrees in Psychology and Statistics. His research focuses on educational and psychological measurement with emphasis on item response theory (IRT) , Bayesian statistical methods , and multivariate data analysis . Research Themes Item Response Theory (IRT) and extensions Computerized Adaptive Testing (CAT) Four-parameter IRT models Response time modeling Measurement invariance Bayesian estimation techniques Recent Publications His recent work (2025-2020) spans topics in educational measurement , psychological testing , and family behavior analysis . Key trends include: Development of IRT-based frameworks for health survey data Investigations into extreme response styles using IRTree models Advancements in four-parameter IRT modeling Applications of Bayesian methods in test construction Analysis of father involvement in early intervention Collaborations Kern collaborates across disciplines with researchers in psychology , statistics , healthcare informatics , and special education . His work has been supported by grants from the Institute for Education Sciences and NICHD .

• Audiology
• Auditory Electrophysiology
• Audiologic Rehabilitation
• +۵ مورد دیگر

Samuel Atcherson, Ph.D., is a Professor at the University of Arkansas for Medical Sciences (UAMS) in both the College of Health Professions Department of Audiology and Speech Pathology and the College of Medicine Department of Otolaryngology—Head and Neck Surgery. His research spans audiologic rehabilitation, auditory electrophysiology, and health literacy, with a focus on addressing challenges faced by individuals with hearing loss, particularly in healthcare communication during mask use and accessibility for people with disabilities. Research Interests: Atcherson's work integrates audiologic rehabilitation through innovations like transparent face masks and amplified stethoscopes, auditory electrophysiology using evoked potential systems, and health literacy research examining readability of medical materials, especially for those with disabilities. Publications: With over 60 peer-reviewed articles, his recent publications explore AI integration in audiology, masked speech challenges, and health disparities. A recurring theme is the intersection of technology, accessibility, and multidisciplinary collaboration. Grants & Awards: He has secured over $477,000 in grants, including NIH funding, and holds the Distinguished Scholar Fellow title from the National Academies of Practice. Leadership: Atcherson serves on the Editorial Board of the Journal of the American Academy of Audiology and has contributed to textbooks like Auditory Electrophysiology: A Clinical Guide .

Robert Gibbonsمشاهده پروفایل

استاد

• Biostatistics
• Environmental Statistics
• Psychometrics
• +۸ مورد دیگر

Robert Gibbons is a Professor in the Department of Medicine and Department of Psychiatry at the University of Chicago's Pritzker School of Medicine, where he serves as Director of the Center for Health Statistics. A Member of the National Academy of Medicine and Fellow of the American Statistical Association, his career spans biostatistics, environmental statistics, and psychometrics with significant contributions to regulatory science and mental health research. His educational background includes: Ph.D. in Statistics and Psychometrics from the University of Chicago (1981) B.A. in Chemistry and Mathematics from the University of Denver (1976) Gibbons' research centers on developing advanced statistical methodologies including linear/non-linear mixed effects models for longitudinal data, environmental monitoring techniques, inter-laboratory calibration systems, functional MRI analysis, and item response theory. His work in pharmacoepidemiology has directly influenced FDA drug safety policies, particularly regarding antidepressant medications and suicide risk assessment. The integration of biostatistics with clinical psychiatry represents a hallmark of his interdisciplinary approach. Analysis of his publication record reveals three dominant research trajectories: mental health statistics focusing on medication-suicide relationships, environmental statistics emphasizing groundwater quality and calibration methods, and psychometrics advancing computerized adaptive testing. His recent work demonstrates increasing emphasis on regulatory science applications, with sophisticated statistical models addressing real-world public health challenges in drug safety surveillance. His scientific recognition includes: Membership in the National Academy of Medicine Fellowship in the American Statistical Association As Director of the Center for Health Statistics, Gibbons leads initiatives applying cutting-edge statistical methods to health data analysis, with particular focus on improving mental health assessment tools and drug safety monitoring systems. His leadership bridges academic research and practical healthcare applications through the development of robust statistical frameworks for complex biomedical data.

Eric Lokenمشاهده پروفایل

دانشیار

• Latent Variable Models
• Bayesian Inference
• Reproducible Science

Eric Loken is an Associate Professor in the Department of Educational Psychology at the University of Connecticut's Neag School of Education. He earned his PhD from Harvard University, specializing in advanced statistical modeling with applications to educational testing. His research focuses on latent variable models, Bayesian inference, and reproducibility in science. Recent publications explore missing data in computerized adaptive testing (2025), person-specific heterogeneity in IRT models (2024), and methodological frameworks for multi-analyst studies (2024). Loken's work addresses critical methodological challenges including measurement error impacts on replication, model specification in mixture models, and patterns of omitted responses in language proficiency testing. He maintains active research in parenting intervention effects on child development outcomes. Methodological focus: Bayesian statistical modeling Psychometric theory Reproducibility science Large-scale educational assessment

Mark Faustمشاهده پروفایل

دانشیار

• Cognitive Control
• EEG
• Cognitive Neuroscience
• +۶ مورد دیگر

Mark Faust is an Associate Professor in the Department of Psychology at the University of North Carolina at Charlotte. He leads the Cognitive Control & EEG Lab, focusing on cognitive psychology, cognitive neuroscience, and health psychology. His work employs EEG and computerized cognitive testing to study attention, task switching, aging-related cognitive changes, and the neural basis of health behaviors. Education: B.A., University of Washington M.S. and Ph.D., University of Oregon Research Interests: Dr. Faust’s lab investigates how people manage cognitive control processes, including suppressing distractions, adapting to task changes, and age-related cognitive decline. Current projects explore EEG markers of cognitive training efficacy and the role of mindfulness meditation in pain suppression. Methodologies include response-time analysis and EEG recordings using specialized equipment. Labs & Collaborations: His lab (4097 Colvard) collaborates with Davidson College’s Memory & Aging Lab. Graduate students in health psychology utilize EEG to study topics like memory suppression and pain management.

Chih-Hung Changمشاهده پروفایل

استاد

• Health-related quality of life
• Patient-reported outcomes
• Psychometrics
• +۷ مورد دیگر

Chih-Hung Chang, PhD, is a Professor of Occupational Therapy, Medicine, and Orthopaedic Surgery at Washington University in St. Louis. He leads the Psychometrics+Informatics (pi Lab), focusing on integrating modern psychometrics and informatics to advance healthcare outcomes. His research emphasizes patient-reported outcomes, health-related quality of life, and innovative assessment systems for clinical practice and education. Dr. Chang holds affiliations with the Institute of Clinical and Translational Sciences (ICTS), Institute for Informatics, and Siteman Cancer Center. His work spans palliative care, oncology, and rehabilitation, with a focus on developing universally designed digital tools for assessment and management. Key projects include the PROUD system for patient-reported outcomes, DREAM for IRT-based rehabilitation, and the Virtual Academy for clinician education. He mentors students in health professions, PhD/MSTP programs, and postdocs, offering opportunities in tool design, data analysis, and system development. His research has been cited over 5,422 times, with recent contributions to telehealth, stroke recovery, and opioid treatment utilization.

Audrey Lerouxمشاهده پروفایل

دانشیار

• Multilevel modeling
• Computerized adaptive testing
• Item response theory
• +۳ مورد دیگر

Audrey Leroux is an Associate Professor in the School of Psychology at the Georgia Institute of Technology, part of the College of Sciences. She holds a Ph.D. in Quantitative Methods (2014) and a B.S. in Mathematics (2008), both from The University of Texas at Austin. Her research focuses on two key areas: multilevel modeling (specifically cross-classified and multiple membership data structures) and computerized adaptive testing (including item response theory and simulation studies). She addresses methodological challenges in psychology and social sciences, emphasizing accurate data analysis in non-hierarchical structures and optimizing adaptive testing efficiency. Dr. Leroux collaborates on federally funded projects through the National Science Foundation, Institute of Education Sciences, and Department of Health and Human Services. Her recent publications (2024-2020) address topics like cross-classified data impacts on survival analysis, propensity score matching methods, and classroom interventions for attention enhancement. She has advised no listed students but actively engages in collaborative research. Her work often involves statistical innovations for complex data structures, with applications in education, health, and behavioral sciences. Contact: aleroux@gatech.edu.

Klint Kanopkaمشاهده پروفایل

استادیار

• Psychological Measurement
• Computational Modeling
• Machine Learning
• +۳ مورد دیگر

Klint Kanopka is an Assistant Professor of Applied Statistics at New York University's Steinhardt School of Culture, Education, and Human Development. He holds a PhD in Education and MS in Computer Science from Stanford University, and a BS in Physics from Drexel University. His research focuses on computational methods in educational measurement, including item response theory (IRT) modeling, machine learning applications, and adaptive testing frameworks. Dr. Kanopka's work integrates psychological measurement with computational techniques, such as developing the ROAR-CAT adaptive reading assessment and the InterModel Vigorish (IMV) predictive accuracy metric. He also explores topics like genetic effects in sibling pairs, gender differences in PISA data, and the role of venture capital in education. His teaching experience includes introductory machine learning courses for social sciences at NYU and high school physics in Philadelphia. He contributes to interdisciplinary initiatives like the Applied Statistics and Computational Social Science program, addressing policy issues in education, health, and behavioral sciences. Dr. Kanopka is involved in developing the Item Response Warehouse (IRW), a collaborative platform for statistical analysis tools in psychometrics. His research emphasizes computational validity and innovative model comparison methods.

Alan Huebnerمشاهده پروفایل

استاد آموزشی

• Applied Statistics
• Data Science
• Education Technology
• +۳ مورد دیگر

Alan Huebner is a Teaching Professor and Director of Undergraduate Studies in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame's College of Science. He holds a Ph.D. from the University of Illinois Urbana-Champaign (2008) and an M.S. from DePaul University (2003). His work bridges data science and education, emphasizing statistical modeling and R computing in real-world applications. He designs courses integrating applied statistics with practical data analysis, particularly for undergraduate and graduate students. Dr. Huebner's research focuses on statistical methodologies, sports analytics, and education technology. Notable collaborations include concussion detection in youth athletes, wearable device monitoring for athlete training loads, and socioeconomic impacts on pre-kindergarteners' development. His projects often involve interdisciplinary partnerships with campus and community groups. His recent articles highlight themes in sports physiology (e.g., thermography for training monitoring), educational interventions (writing development during pandemics), and statistical theory (generalizability in data collection). While no specific awards are listed, he is noted as an award-winning statistics educator. He mentors undergraduates and advises on grants related to applied statistical research. His office is 101F Crowley Hall, and he can be reached at Alan.Huebner.10@nd.edu.

Billy R. Hammondمشاهده پروفایل

استاد

• Vision Science
• Nutritional Neuroscience
• Neuroscience
• +۴ مورد دیگر

Billy R. Hammond is a Professor at the University of Georgia with primary appointments in the Behavioral and Brain Sciences and Neuroscience Programs, alongside adjunct roles in the Foods and Nutrition Department and Gerontology Program. His research is conducted from the Vision Sciences Laboratory in the Psychology Building (520). His research focuses on the human visual system from ocular structures to neural processing, with dietary carotenoids (lutein/zeaxanthin) as central themes. Key areas include: Macular pigment's role in preventing age-related eye diseases and dementia Sports vision optimization and visual performance metrics Infant visual system development and maturation Effects of light filtering (blue-light/UV) on visual function Recent publications (2018-2024) reveal consistent investigation into how optical interventions and macular carotenoids influence color perception, glare response, and cognitive-visual interactions across ages. This work bridges ophthalmology, optometry, and nutritional neuroscience through rigorous psychophysical methods. The Vision Sciences Laboratory maintains an interdisciplinary approach, integrating neuroscience, nutrition science, and vision research to address fundamental and applied questions about eye-brain connections throughout the lifespan.

David J Weissمشاهده پروفایل

استاد

• Psychometrics
• Computerized Adaptive Testing
• Item Response Theory
• +۵ مورد دیگر

David J Weiss is a Professor in the Department of Psychology at the University of Minnesota (Twin Cities). His research focuses on psychometrics, computerized adaptive testing, and educational assessment, with significant contributions to the Patient-Reported Outcomes Measurement Information System (PROMIS). He actively collaborates with institutions like Mayo Clinic Rochester and NIH, securing grants for projects such as "HOPE: Achieving Home Discharge for Institutionally Bound Patients" and "Computerized Adaptive Testing to Direct Delivery of Hosp". His work intersects with UN Sustainable Development Goals (SDGs), particularly in health and well-being, utilizing machine learning and statistical modeling. Recent research explores routing errors in multistage testing and adaptive measurement techniques amidst item parameter drift. Key projects include: PI for HOPE Project (2022-2027) CoI for adaptive testing projects (2020-2023) NIH-funded rehabilitation research (2015-2021) USDE-funded assessment system development (2012-2017)

Michael Bassمشاهده پروفایل

دانشیار

• Medical Informatics
• Health Information Systems
• Electronic Health Records
• +۴ مورد دیگر

Michael Bass serves as Research Associate Professor in the Department of Medical Social Sciences (Outcome and Measurement Science) at Northwestern University's Feinberg School of Medicine, with affiliations at the Institute for Augmented Intelligence in Medicine and Institute for Innovations in Developmental Sciences. Education: MS, University of Illinois, Chicago (1990) His research focuses on medical informatics infrastructure and electronic health record integration , specializing in secure software architecture for patient-reported outcomes systems. As principal architect of the PROMIS Assessment Center, he developed critical components including data encryption protocols, CAT algorithm implementation, and secure synchronization frameworks for clinical research data capture. Recent publications (2025) demonstrate consistent contributions to implementation science methodology, cancer care informatics, and orthopaedic assessment tools, with emphasis on practical health IT solutions for real-world clinical settings and research consortia. Professional Leadership: Scientific Advisory Board Member, Medable (2016–Present) Consultant, Argonaut Project (2018–Present) Member, Northwestern Memorial PRO Steering Committee (2016–Present) Member, American Medical Informatics Association (2015–Present) He directs strategic development of health IT standards through active participation in national initiatives including the Office of the National Coordinator for Health IT and clinical trial management system task forces.

Fritz Drasgowمشاهده پروفایل

استاد

• Psychological Measurement
• Computerized Testing
• Personality Assessment
• +۳ مورد دیگر

Fritz Drasgow is a Professor of Psychology at the University of Illinois at Urbana-Champaign and a Network Member of the Identity and Personality (IP) network. He serves on the editorial review boards of eight prominent journals including Applied Psychological Measurement, Journal of Applied Psychology, and the International Journal of Selection and Assessment. Drasgow earned both his M.A. and Ph.D. from the University of Illinois at Urbana-Champaign. His educational background forms the foundation for his extensive contributions to psychological science. His research spans psychological measurement, computerized testing, and sexual harassment outcomes, with recent focus on psychometric theory for personality assessment. He pioneered the Tailored Adaptive Personality Assessment System (TAPAS) using ideal point models where response probability peaks when items match an individual's trait level. This innovative approach employs multidimensional forced-choice formats and adaptive item selection for maximum efficiency. Drasgow has held significant leadership roles including former chair of the American Psychological Association's Committee on Psychological Tests and Assessments, the U.S. Department of Defense's Advisory Committee on Military Personnel Testing, the APA Taskforce on Internet Testing, and the American Institute of Certified Public Accountants' Psychometric Oversight Committee. He served as President of the Society for Industrial and Organizational Psychology (SIOP). His distinguished contributions were recognized with the SIOP Distinguished Scientific Contributions Award.

Matt Eppersonمشاهده پروفایل

دانشیار

• Criminal Justice Policy
• Decarceration
• Mental Health
• +۵ مورد دیگر

Matt Epperson is an Associate Professor at the University of Chicago's Crown Family School of Social Work, Policy, and Practice, where he serves as Director of the Smart Decarceration Project and faculty director of the Transforming Justice Policies and Practices program. He is currently on leave for the 2022-23 academic year. With over 15 years of clinical and administrative experience in behavioral health and criminal justice settings, his work bridges research, policy, and practice. Education: Ph.D. with distinction from Columbia University School of Social Work M.S.W. from Grand Valley State University B.S. in Sociology/Criminal Justice from Central Michigan University Epperson's research develops interventions to reduce disparities in criminal legal systems, focusing on: Risk factors for legal involvement among people with mental illnesses Evidence-based decarceration strategies Substance abuse interventions for justice-involved populations Prosecutor-led diversion program efficacy He co-leads the Promote Smart Decarceration network through the Grand Challenges for Social Work Initiative. His publications demonstrate consistent focus on criminal justice transformation, with recent work emphasizing prosecutor-led diversion models, bail reform impacts on mental health populations, opioid crisis interventions, and probation system improvements. Methodologies span clinical trials, mixed-methods designs, and systematic reviews. Major Research Projects: Principal Investigator: System-wide Adaptive Mental Health Measurement for Probationers (Cook County, IL - Arnold Foundation) Principal Investigator: Prosecutor-led Diversion Program Evaluation (Joyce Foundation) Co-Investigator: Reducing Opioid Mortality in Illinois (NIDA-funded) Principal Investigator: Justice and Mental Health Collaborative Evaluation (Bureau of Justice Assistance) He directs the Smart Decarceration Project , which generates evidence for reducing incarceration through stakeholder collaborations. The initiative develops new interventions, informs policies, and fosters cross-sector movements for systemic change.

Thad Leffingwellمشاهده پروفایل

استاد

• health behavior change
• substance use
• addictions
• +۵ مورد دیگر

Thad Leffingwell is a Professor in the Department of Psychology at Oklahoma State University, where he also serves as an Assistant Dean in the College of Arts and Sciences. He directs the THAD Laboratory (Tobacco, Health and Drinking), conducting innovative clinical health research focused on understanding when, why, and how people make health behavior changes, particularly regarding high-risk habits like smoking, binge drinking, and drug use. Dr. Leffingwell completed his Ph.D. in Psychology at the University of Washington and completed his pre-doctoral internship at the Puget Sound VA Healthcare System in Seattle. His academic progression at Oklahoma State University shows advancement from Assistant Professor (2000-2007) to Associate Professor (2007-2013) to his current position as Professor (2013-present). His research is theoretically informed by transtheoretical models, social learning models, and self-determination models of behavior change, with clinical applications rooted in motivational enhancement and personalized feedback approaches. A member of the Motivational Interviewing Network of Trainers (MINT), he has worked on numerous federal, state, and privately funded intervention projects. His work often focuses on developing technology-based interventions that can be widely disseminated to improve public health outcomes. Analysis of his recent publications (2020-2024) reveals a strong focus on substance use among college populations, with particular attention to vulnerable groups including American Indian/Alaska Native communities. His research spans assessment development, intervention efficacy testing, and exploration of underlying psychological mechanisms driving health behaviors. Dr. Leffingwell maintains an active research team with multiple doctoral students (Hannah Appleseth, Grace Walker, Emily Warner), undergraduate assistants, and has successfully mentored numerous Ph.D. graduates over his career. His research has been featured in media outlets including The O'Colly, EurekAlert!, The Oklahoman, and BBC, demonstrating the public impact of his work. The THAD Laboratory has produced significant research on brief interventions for college alcohol misuse, electronic interventions, and studies examining the effects of campus policies on substance use behaviors. His work integrates both traditional clinical approaches and innovative technological solutions to address complex health behavior challenges.