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Alberto Maydeu OlivaresView profile

Professor

• Psychometrics
• Structural Equation Modeling
• Item Response Theory
• +3 more

Alberto Maydeu Olivares is a Professor at the Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, within the Faculty of Psychology. He leads the Violence, Behavior, Individual differences and Technology Studies (WITS) research group. His expertise spans psychometrics, structural equation modeling (SEM), and item response theory (IRT). He holds a Licenciatura in Psychology from the Universitat de Barcelona (1988), a Doctorat in Quantitative Psychology from the same institution (1991), and advanced degrees from the University of Illinois, including a Ph.D. in Quantitative Psychology (1997) and masters in Mathematical Statistics and Quantitative Psychology. His research focuses on improving psychological measurement methods, evaluating model fit in SEM/IRT, and addressing methodological challenges in behavioral data. Notable projects include NSF-funded work on SEM fit indices (2017–2020) and AGAUR-supported studies on IRT applications (2014–2017). He teaches advanced courses like Multivariate Analysis and Structural Equation Models at the master’s level. Maydeu Olivares has authored influential papers on goodness-of-fit assessment, causal effect estimation via instrumental variables, and forced-choice test design. His work bridges statistical rigor with practical applications in psychology, addressing issues like faking in assessments and common method bias. He actively contributes to methodological advancements, emphasizing transparent and robust statistical practices.

• Personality Assessment
• Personnel Selection
• Forced-Choice Questionnaires
• +3 more

Niklas Schulte serves as a Researcher in the Department of Psychological Diagnostics, Differential and Personality Psychology within the Department of Education and Psychology at Free University of Berlin since 2022. Previously, he held a Researcher position in Work and Organizational Psychology at Ulm University (2019-2021) and co-founded a personnel selection consulting firm during 2020-2021. Education: B.Sc. and M.Sc. in Psychology and Business Administration from University of Münster and Columbia University (2012-2017), funded by Cusanuswerk scholarship Ph.D. (Dr. rer. nat.) from University of Münster (2017-2021) under Prof. Heinz Holling, researching ‘Statistical Properties of Forced-Choice Questionnaires in Applicant Personality Measurement’, supported by Studienstiftung des deutschen Volkes and Cusanuswerk scholarships Research Focus: Dr. Schulte specializes in personality assessment under high-stakes conditions , with emphasis on forced-choice methodologies , faking resistance , and diversity impacts in personnel selection. His work bridges cognitive psychology and organizational behavior , investigating how socio-economic status correlates with psychological outcomes and how response formats affect measurement validity. Publication Trends: Recent work (2022-2025) demonstrates increasing focus on innovative assessment techniques like graded paired comparisons as alternatives to forced-choice questionnaires, alongside meta-analyses of ethnicity-based biases in selection processes and exploration of core belief systems related to socio-economic status. Scientific Recognition: Prize for Outstanding Teaching (Ulm University, 2020/21) Studienstiftung des deutschen Volkes Doctoral Scholarship Cusanuswerk Scholarships (undergraduate and doctoral) Academic Contributions: He has taught ‘Test Theory’ and ‘Foundations of Psychological Diagnostics’ lectures, supervised the ‘Millionaire’s Mindset’ student research group (2023), and chaired symposia at major conferences including the German Psychological Society Congress. His research integrates methodological rigor with practical personnel selection applications. Research Environment: As part of Prof. Stefan Krumm’s team at FU Berlin, he contributes to cutting-edge diagnostics research while maintaining active collaborations across European institutions, particularly evident in his multi-institutional publications.

Andrew CostanzoView profile

Senior Lecturer

• Sensory Nutrition
• Taste Perception
• Fat Taste Sensitivity
• +4 more

Dr. Andrew Costanzo is a Senior Lecturer at Deakin University's School of Exercise and Nutrition Sciences , where he serves as Deputy Course Director for undergraduate nutrition science courses. His research focuses on sensory nutrition, particularly how taste perception influences eating behavior and dietary health. PhD, Deakin University Master of Human Nutrition, Deakin University Bachelor of Science, Monash University His work spans fat taste sensitivity , macronutrient sensing , and taste receptor dynamics , with significant contributions to understanding how fat taste detection thresholds relate to dietary fat consumption and satiety responses. His research includes developing novel methodologies for measuring taste sensitivity and analyzing the impact of protein fortification on plant-based milk alternatives. Key publication trends include temporal taste variation , fat replacers in food products , and cross-modal taste interactions (e.g., salt-fat relationships). He has co-authored studies on gustatory physiology , oral-gut chemoreception , and nutritional implications of altered taste perception . Supervised doctoral research on protein-flavor dynamics Teaches units HSN211 and HSN106 Recipient of contract research funding from Wide Open Agriculture Ltd (2023) for lupin protein analysis

Alberto Maydeu-OlivaresView profile

Professor

• Structural Equation Modeling
• Item Response Theory (IRT)
• Quantitative Methods
• +5 more

Alberto Maydeu-Olivares is a Professor of Psychology at the University of South Carolina's McCausland College of Arts and Sciences. Previously, he held the ICREA-Academia Distinguished Professorship at the University of Barcelona (2011–2015) and has held roles at IE Business School and Universidad Carlos III de Madrid. His research focuses on psychometrics, structural equation modeling (SEM), item response theory (IRT), and quantitative methods with applications to personality assessment, health outcomes, and educational testing. Educations: B.Sc. Psychology, University of Barcelona (1987) M.Sc. Psychology, University of Illinois (1991) Ph.D. Psychology, University of Barcelona (1991) M.Sc. Statistics, University of Illinois (1994) Ph.D. Quantitative Methods, University of Illinois (1997) Research Interests: Development of statistical methods for categorical/ordinal data Goodness-of-fit testing in SEM and IRT Applications to personality, health, and marketing domains Instrumental variable methods for causal inference Forced-choice questionnaire design Awards & Honors: Catalan Young Investigator Award (2002) ICREA-Academia Distinguished Professor Award (2011–2016) President, Psychometric Society (2013–2014) APA Division 5 Dissertation Award (1991) Multiple grants from Spanish Ministry of Science and Technology Grants & Advising: Total research funding: €1,002,968 Advised over 15 PhD students, including Antony Brown (University of Kent), David Gallardo-Pujol (University of Barcelona), and Yang Liu (Santiago de Chile) Teaching: Specializes in advanced quantitative methods, including SEM, multivariate analysis, and factor analysis at both undergraduate and graduate levels at multiple institutions.

Adam MeadeView profile

Professor

• Industrial-Organizational Psychology
• Personality Assessment
• Survey Methodology
• +3 more

Adam Meade is a Professor and Coordinator of the Industrial-Organizational Psychology Program at North Carolina State University's Department of Psychology. His expertise spans psychometrics, survey methodology, and personality assessment. He focuses on improving measurement techniques in organizational and psychological research, particularly in reducing bias and enhancing data quality in high-stakes assessments. Dr. Meade's work emphasizes practical applications of psychological science in workplace settings, including counterproductive work behaviors and the design of effective assessment tools. His research explores topics such as response formats, careless responding in surveys, and the utility of multidimensional item response theory (IRT). He has contributed to the development of the 'mirt' R package for IRT analyses and has published extensively on measurement invariance, differential item functioning, and the viability of crowdsourcing in survey research. Notable contributions include studies on forced-choice response formats, the impact of response order on Likert scales, and the application of social psychology principles to improve survey engagement. His work bridges theoretical advancements with real-world organizational challenges, particularly in human resource management and talent assessment.