جست‌وجوی استاد و پژوهشگر

Xun Liuمشاهده پروفایل

استادیار

• Quantitative Methods
• Longitudinal Modeling
• Relationship Satisfaction
• +۲ مورد دیگر

Xun Liu is a Research Assistant Professor in Research, Assessment and Evaluation at Virginia Commonwealth University's School of Education. She teaches educational statistics and quantitative research methods. Research Focus: Dr. Liu applies advanced quantitative techniques including longitudinal modeling, structural equation modeling, and multilevel modeling to study relationship satisfaction trajectories, family adjustment stress, and educational psychology. Her work examines mental health in academic settings and cross-cultural adaptation challenges. Education: Ph.D. in Educational Psychology from Texas Tech University M.Ed. in Educational Psychology from Texas Tech University M.A. in Applied Linguistics from Texas Tech University B.A. in English Language and Literature from Beijing Normal University B.A. in Chinese Language and Literature from Beijing Normal University Publication Trends: Recent research explores relationship education outcomes for low-income couples, international student experiences during COVID-19, and mental health support systems in PK-12 education. Quantitative analyses focus on intervention efficacy and psychosocial adaptation processes. Professional Service: Provides statistical consultation for the Consortium for Family Strengthening Research, supporting faculty and students in research design and analysis for publications and grants.

Carel F.W. Peetersمشاهده پروفایل

دانشیار

• Statistics
• Bayesian theory
• Biostatistics
• +۶ مورد دیگر

Carel F.W. Peeters is an Associate Professor of Statistics at the Department of Mathematical & Statistical Methods (Biometris) , Wageningen University & Research . He previously held academic positions at Amsterdam University Medical Centers (AUMC) as Assistant Professor in Biostatistics , and during his PhD studies, he was a research fellow at VUA and research scientist at CITO . Education: M.Sc. in Statistics (with great distinction) from Katholieke Universiteit Leuven (KUL) Ph.D. in Bayesian Statistics from Utrecht University Research Focus: His work operates at the intersection of high-dimensional multivariate statistics , statistical machine learning , and complex data analysis . He develops computational methods for small-sample massive-features data to automate discovery of data-generating mechanisms, with applications in genomics , medical imaging , and social network analysis . Recent Trends: His publications demonstrate expertise in genomic prediction models , graphical modeling , high-dimensional regularization , and cross-domain data integration . Methodological innovations include rags2ridges package development and targeted penalization techniques. Technical Expertise: Bayesian theory Multivariate analysis Machine learning High-dimensional data Network analysis Statistical software development (R packages) Data science Graphical models Current Position: He serves as contact person for Biometris subdivision at Wageningen University, with physical location at Droevendaalsesteeg 1, 6708PB Wageningen, Netherlands. His work continues to bridge theoretical and applied statistics through practical implementation of advanced methodologies.

Dave DeGarmoمشاهده پروفایل

استاد پژوهشی

• Prevention Science
• Family Stress Models
• Parenting Interventions
• +۵ مورد دیگر

Dr. Dave DeGarmo is a Research Professor in the College of Education at the University of Oregon, specializing in Prevention Science and methodological innovation. He holds affiliations with the Prevention Science Institute and teaches courses on intervention design, structural equation modeling, and multilevel analysis. His work focuses on family stress models, parenting interventions for at-risk families, and mitigating health disparities in underserved populations. Dr. DeGarmo has led multiple NIH-funded studies, including the Oregon Saludable Juntos Podemos project targeting Latinx communities during the pandemic and the RADx-UP initiative for equitable SARS-CoV-2 testing. Education: Ph.D. in Sociology (1993) from the University of Akron, with a focus on methodology and family sociology. Former postdoctoral fellow at the NIMH Family Research Consortium and director of the Center for Assessment, Statistics, and Evaluation (CASE) at UO. Notable awards include the 2021 Outstanding Accomplishment NTTF Research Award and recognition from APA Division 18 for contributions to public service psychology. Research emphasizes culturally adapted interventions, military family resilience, and fathering processes. Ongoing projects include the NICHD study on school closures' impact on youth with disabilities and the Center on Parents and Opioids (P50 DA048756). His grants total over $10M, with expertise in randomized trials and mixed-methods approaches.

Natasha Koperمشاهده پروفایل

پژوهشگر

• Adolescent Development
• Interpersonal Relationships
• Intervention Strategies
• +۷ مورد دیگر

Dr. Natasha Koper is a Researcher at the Department of Interdisciplinary Social Science, Utrecht University, within the Faculty of Social and Behavioral Sciences. She holds a PhD in Youth and Family Studies from Utrecht University (awarded June 2023). Her research focuses on adolescent development, systemic interventions, and mental health in disadvantaged youth. Since 2023, she has led participatory action research projects like 'Minding the Gap,' addressing mental health challenges among youth in underprivileged neighborhoods. Education: PhD in Youth and Family Studies (2023), Utrecht University. Previous academic background includes expertise in diagnostics of developmental issues and statistical methodologies (SPSS, MLwiN, Mplus, AMOS). Research Interests: Dynamics of youth development, effectiveness of multidisciplinary interventions (e.g., InConnection mentoring program), longitudinal analysis of family systems, and participatory approaches to improve mental health support. Her work intersects social science, public health, and policy. Current Projects: 'Minding the Gap' (mental health in economically disadvantaged youth) and GRIP (evaluating youth and parenting support systems). She employs mixed methods, including structural equation modeling and multilevel analysis. Labs/Teams: Part of the Dynamics of Youth (DoY) research theme at Utrecht University, collaborating with professionals, policymakers, and communities to implement evidence-based interventions.

Asri Maharaniمشاهده پروفایل

مدرس

• Healthy Ageing
• Cognitive Function
• Epidemiology
• +۷ مورد دیگر

Dr. Asri Maharani is a Lecturer in the Division of Nursing, Midwifery and Social Work at the University of Manchester's School of Health Sciences. Her research focuses on healthy ageing, cognitive function, epidemiology, and advanced statistical methods including multilevel modeling and longitudinal data analysis. She has extensive experience as a public health educator, physician, and hospital manager in Indonesia. Education: PhD in Public Health (2015), University of Manchester (Thesis: 'Decentralisation, performance of health providers and health outcomes in Indonesia') Masters in Public Health Medical Degree Research Interests: Her work addresses socioeconomic determinants of health across the life course, with particular focus on frailty, cognitive decline, and mental health in aging populations. Methodologically, she specializes in longitudinal studies and advanced statistical techniques. Grants & Collaborations: Principal Investigator: 'Sustainable Treatment of Anxiety and Depression in Indonesia' (2022-2026, £3.2M) Member: Healthy Ageing Research Group Global partnerships in Indonesia, China, Greece, South Korea, and Australia Labs/Teams: Led the Healthy Ageing Research Group's work on frailty trajectories, contributing to UK and international aging policy frameworks. Collaborates with Indonesia's health sector on mHealth interventions and primary care innovations.

• International Business
• Strategy
• Economic Geography
• +۷ مورد دیگر

Professor Bo Bernhard Nielsen is a leading scholar in international business strategy at the University of Sydney, with adjunct appointments at Copenhagen Business School. Holding a PhD in International Strategic Management from CBS and an MBA from Pacific Lutheran University, he bridges strategic management, international business, and economic geography through multilevel research frameworks. BSc (Econ) from Copenhagen Business School MBA (TIM) from Pacific Lutheran University PhD from Copenhagen Business School His research explores cross-border strategic decision-making, micro-location choices in foreign direct investment, and the impact of upper-echelon diversity on firm performance. He employs advanced quantitative methods like structural equation modeling and advocates for methodological triangulation to address complexity in international business research. Recent publications analyze global city attributes in alliance formation, blockchain applications for international operations, and post-pandemic value chain adaptations. His 2020 edited volume on Research Methods in International Business (Palgrave Macmillan) remains widely cited. Ranked among Australia's top 16 business/economics researchers by citations (2020) Co-founder and President of AIB's Research Methods SIG Consulting Editor for Journal of International Business Studies Professor Nielsen supervises PhD candidates like Katrina Van de Ven while co-editing special issues on multilevel modeling. He actively contributes to methodological debates through webinars and AIB engagements, emphasizing robust control variable selection and theoretical integration.

Xing Liuمشاهده پروفایل

استاد

• Categorical Data Analysis
• Multilevel Modeling
• Longitudinal Data Analysis
• +۴ مورد دیگر

Xing Liu is a Professor and Associate Chair at Eastern Connecticut State University, specializing in advanced statistical methodologies. He holds a Ph.D. in measurement, evaluation, and assessment from the University of Connecticut. His research focuses on categorical data analysis, multilevel modeling, longitudinal data analysis, and educational assessment. He has authored two influential textbooks: Applied Ordinal Logistic Regression Using Stata (2016) and Categorical Data Analysis and Multilevel Modeling Using R (2022). His work has been recognized for its impact in statistical journals such as the Journal of Modern Applied Statistical Methods. Dr. Liu’s teaching interests include research methods, quantitative analysis, and educational measurement. He is the recipient of the Excellence Award in Creativity/Scholarship at Eastern Connecticut State University, highlighting his contributions to academic innovation. His publications span topics like missing data imputation in proportional odds models, teacher-child interactions in early education, and statistical software applications in complex sampling designs. Awards: Excellence Award in Creativity/Scholarship (Eastern Connecticut State University) Publications: Over 10 peer-reviewed articles and two widely cited textbooks Key Expertise: Bayesian methods, structural equation modeling, and data science applications in education

Elizabeth Stojanovskiمشاهده پروفایل

مدرس ارشد

• Biostatistics
• Longitudinal Modelling
• Multivariate Statistics
• +۶ مورد دیگر

Dr. Elizabeth Stojanovski is a Senior Lecturer at the University of Newcastle , affiliated with the School of Information and Physical Sciences and the Priority Research Centre for Computer-Assisted Research Mathematics and its Applications (CARMA) . She leads the Mathematics Education Research Group and manages the statistical consulting unit, serving industry, academics, and postgraduate students. With a PhD in Statistics from the University of Newcastle, she specializes in Biostatistics , Longitudinal Modelling , and Multivariate Statistics . Education : PhD (University of Newcastle), Bachelor of Mathematics (Honours), Bachelor of Mathematics Professional Roles : Senior Lecturer (2007–present), Research Academic (2004–2006) Memberships : Member of the Australian Statistics Society Her research spans health and education , focusing on longitudinal relationships between life events and physical/mental health. She has developed Bayesian frameworks , longitudinal models , and meta-analytic techniques for applications in tobacco control, cardiovascular disease, cancer treatment, and mathematics education. Her work includes collaborations with Eric Beh on Nobel Prize data analysis, Manohar Garg on lipid-lowering studies, and Suzanne Snodgrass on physiotherapy biomechanics. Recent publications highlight her expertise in correspondence analysis for educational and scientific data, multivariate assessment of diabetes risk , and reinforcement learning for optimization. She has supervised 15 PhD/Masters students and peer-reviewed for journals and grants. Her grants total $496,207 , including projects on statistical literacy and phytosterol efficacy. Scientific Awards : 2001 "Temporal association between life events and health" Elizabeth's teaching spans theoretical and applied statistics, with a focus on psychology, health, and business applications. She has also contributed to forensic science through cut mark analysis on bone and policy research on tobacco investments in pension funds. Her leadership in CARMA and statistical consulting underscores her interdisciplinary impact.

Jan-Willem Romeijnمشاهده پروفایل

استاد

• Philosophy of Science
• Probability Theory
• Statistical Inference
• +۵ مورد دیگر

Jan-Willem Romeijn is a Professor of Philosophy of Science at the University of Groningen, affiliated with the Faculty of Philosophy's Theoretical Philosophy department. He earned dual degrees in Physics and Philosophy from Utrecht University (cum laude) and a PhD in Philosophy from the University of Groningen (cum laude, 2005). His research focuses on probability theory, statistical methodology, and their applications in science and psychiatry. Notably, he received a Vidi grant from NWO (2010) to study probability and statistical methodologies in science and business, and was named Lecturer of the Year 2009 at the University of Groningen. Romeijn's work spans interdisciplinary collaborations, including projects on psychiatric classification, Bayesian model selection, and formal epistemology. He has advised on judicial and policy contexts and led research initiatives like the Vici project 'Gold Rush in the Data Mine' (2023). His recent articles address topics such as group deliberation dynamics, statistical weighting mechanisms, and psychiatric disorder subtyping. Romeijn also served as Dean of the Faculty of Philosophy (2020–2022) and contributes to ancillary activities like lecturing for legal professionals.

• Mediation Analysis
• Structural Equation Modeling
• Causal Inference
• +۴ مورد دیگر

Prof. Dr. Tom Loeys is a faculty member at Ghent University's Faculty of Psychology and Educational Sciences, Department of Data Analysis and Research Methodology. He has over 150 publications across Social Sciences , Mathematics and Statistics , and Medicine and Health Sciences . Research Pillars : Mediation analysis, structural equation modeling, dyadic data structures, causal inference frameworks, and statistical method development Key Collaborations : Works with Beatrijs Moerkerke (30 joint papers), Stijn Vansteelandt (20), Ann Buysse (18), Liesbet Goubert (10) His 2025 publications address coach-athlete dynamics , team psychological safety , and temporal sexual desire patterns using advanced longitudinal methods. Software development includes R packages for medflex (flexible mediation) and fSRM (family social relations modeling). Advising Legacy : Promoted 8 PhD students including Lara Stas, Fien Gistelinck, and Justine Loncke, focusing on statistical methodology, dyadic analysis, and psychological applications.

John Antonakisمشاهده پروفایل

استاد

• Organizational Behavior
• Leadership Development
• Charismatic Leadership
• +۴ مورد دیگر

John Antonakis is a Professor of Organizational Behavior at the University of Lausanne’s Faculty of Business and Economics (HEC). He also serves as a Visiting Scholar at ISM. His research focuses on charisma, leadership development, crisis management, and research methodology. Antonakis has secured over $2.45 million in research funding and has been recognized as a Clarivate-Web of Science Highly Cited Researcher (2019) and ranked in the world’s top 2% researchers by PLOS Biology (2020). His work spans prestigious journals like Science, Nature Human Behavior, and Academy of Management Journal. Notable contributions include studies on charismatic leadership’s economic impact, crisis rhetoric effects, and methodological critiques of statistical techniques. Antonakis has held editorial roles including Editor-in-Chief of The Leadership Quarterly and served on top journal boards. Media outlets such as the New York Times and BBC frequently cite his research. Key Research Themes: Charismatic leadership, crisis leadership, leadership measurement, and statistical methodology. Recent Focus: Deep learning applications in leadership detection, gender gaps in venture funding, and pandemic leadership strategies. His publications emphasize rigorous experimental design and transparency in research practices, contributing to methodological advancements in organizational studies.

• Educational Psychology
• Quantitative Methods
• Measurement Invariance
• +۳ مورد دیگر

MYEONGSUN YOON is an Associate Professor in the Department of Educational Psychology at Texas A&M University. She holds a Ph.D. in Quantitative Psychology from Arizona State University (2007), an M.A. from the same university (2004), and a B.A. in Psychology from Seoul National University (2000). Her research focuses on quantitative methods, measurement invariance, structural equation modeling, and educational assessment. Key projects include validity studies of educational tools and interventions targeting language acquisition and STEM persistence. She has served on editorial boards for journals like Psychological Assessment and Journal of School Psychology . Her work addresses cross-cultural adaptations of educational instruments and methodological advancements in multilevel and longitudinal data analysis. Research interests emphasize psychometric rigor in educational measurement, particularly in ensuring cultural and contextual validity across diverse populations. She has led/co-led research projects funded by agencies such as the National Science Foundation and the U.S. Department of Education. Notable publications include studies on factorial invariance, STEM identity development, and the impact of teacher-student relationships on engagement. Her advising record includes mentoring over 10 doctoral students, many of whom have contributed to studies on acculturative stress, measurement equivalence, and educational interventions. Grants she has secured include initiatives to improve experiential learning through alignment with student learning styles and a validation study for the Workplace Health Achievement Index.

• Multilevel Models
• Structural Equation Modeling
• Educational Research
• +۳ مورد دیگر

Dr. OI-MAN KWOK is a Professor of Educational Psychology at Texas A&M University, specializing in Research, Measurement, and Statistics. He holds positions in the College of Education & Human Development and leads initiatives like the Educational Research and Evaluation Lab. His research focuses on advanced statistical methodologies, including multilevel models and structural equation modeling, with applications in education and psychology. Dr. Kwok has authored over 80 peer-reviewed articles and secured over $10 million in research funding. Education: Ph.D., Quantitative Psychology (Arizona State University, 2005); M.Ph., Psychology (Chinese University of Hong Kong, 1998); B.S., Psychology (National Taiwan University, 1995). Research Interests: Dr. Kwok’s work bridges methodological innovation and practical applications, addressing challenges in statistical moderation, measurement invariance, and hierarchical data structures. His contributions include advancing techniques for analyzing educational and psychological datasets, particularly in longitudinal and cross-classified designs. He emphasizes translating statistical rigor into actionable insights for educators and policymakers. Grants & Awards: Notable achievements include the 2018 Outstanding Faculty Mentoring Award, 2007 Outstanding New Faculty Award, and the Yates Faculty Fellowship. He has led federally funded projects on topics like genomic literacy, autism spectrum disorder genetic testing, and STEM education equity. Teaching & Advising: Dr. Kwok teaches advanced statistics courses (e.g., Structural Equation Modeling, Hierarchical Linear Modeling) and has mentored over 10 doctoral students to completion. He currently chairs 5 Ph.D. committees and has served on 50+ doctoral panels across disciplines like Accounting, Psychology, and Sociology. Labs & Leadership: As former Chair of the AERA Multilevel Modeling SIG and Co-Director of the MERITS online program, he promotes methodological standards and interdisciplinary collaboration. His work bridges academia and practice, fostering evidence-based solutions in education and health.

Michael Zyphurمشاهده پروفایل

استاد

• Quantitative Methods
• Structural Equation Modeling
• Multilevel Modeling
• +۵ مورد دیگر

Michael Zyphur is a Professor of Quantitative Methods at the University of Queensland's UQ Business School, where he also directs the Institute for Statistical and Data Science (Instats). He holds a PhD in Industrial and Organizational Psychology from Tulane University (2006). His career includes academic positions at the University of Melbourne, University of Washington, and National University of Singapore. His research focuses on advanced quantitative methods, including structural equation modeling (SEM), multilevel modeling (MLM), and dynamic systems analysis. He co-developed the EDM software packages for Stata and R, advancing empirical dynamic modeling. Dr. Zyphur has published over 100 peer-reviewed articles, with 10,000+ citations, and trained 10,000+ researchers globally through workshops and courses. Key contributions include methodological innovations in cross-lagged panel models, Bayesian analysis, and measurement invariance. He chairs the Society for Quantitative Methods (SQM) and has led major grants as an ARC Future Fellow. His work spans social, health, and organizational sciences, emphasizing ethical research practices and bridging statistical rigor with real-world applications.

Kurt Beronمشاهده پروفایل

استاد

• Quantitative Methodology
• Public Policy
• Political Economy
• +۷ مورد دیگر

Dr. Kurt Beron is a Professor at the School of Economic, Political and Policy Sciences at the University of Texas at Dallas. His research spans economics, education, sports, sociology, and psychology, with a focus on quantitative methodology and public policy issues. He has led major projects like the Texas Schools Project and serves as Principal Investigator for the DFW Federal Statistical Research Data Center (FSRDC). Current research explores human capital development in youth, emphasizing non-economic factors. Key methodologies include econometrics, structural equation modeling, and multilevel modeling. Collaborative work includes an NIH-funded study on social and physical aggression in children. His publications appear in journals such as The Review of Economics and Statistics and Developmental Psychology . He has held leadership roles including Associate Dean and College Master at UTD, and currently serves as the NCAA Faculty Athletics Representative.