Generated by GPT-5-mini| David von Davier | |
|---|---|
| Name | David von Davier |
| Fields | Psychometrics |
| Known for | Test equating, item response theory, score linking, assessment analytics |
David von Davier is a psychometrician and quantitative researcher noted for contributions to test equating, item response theory, and large-scale educational assessment. His work spans methodological development, applied assessment projects, and software implementations used by testing programs, research institutions, and international initiatives. Von Davier has collaborated with scholars and organizations across United States, Germany, and international assessment consortia, influencing practices in Program for International Student Assessment, Trends in International Mathematics and Science Study, and licensure testing.
Von Davier completed advanced studies in quantitative methods and psychometrics, obtaining degrees that combined statistical theory, measurement, and applied assessment. He trained with researchers associated with University of Michigan, University of Minnesota, and European centers active in Educational Testing Service-adjacent research. His doctoral and postdoctoral work emphasized latent variable modeling, linking procedures, and operational scaling approaches used by agencies such as National Assessment of Educational Progress and multinational testing consortia like Organisation for Economic Co-operation and Development.
Von Davier's career includes appointments and collaborations with prominent testing organizations, academic units, and private-sector research firms. He has worked on projects for Educational Testing Service, contributed to methodological teams at national assessment programs including Minnesota Department of Education initiatives, and partnered with international research centers participating in International Association for Educational Assessment. His applied portfolio encompasses standardized certification programs, university admissions testing, and adaptive assessment pilots tied to institutions such as College Board and professional bodies in United Kingdom. He has taught workshops and short courses in conjunction with conferences organized by American Educational Research Association, International Meeting of the Psychometric Society, and Association for Test Publication affiliates.
Von Davier has been principal investigator or co-investigator on grants involving scaling and equating problems for multicountry assessments funded by agencies and foundations connected to European Commission research instruments and bilateral collaborations with agencies in Canada and Australia. His professional network includes collaborations with researchers at University of Cambridge, Stanford University, Harvard University, Columbia University, and research groups linked to National Board of Medical Examiners and national licensure bodies.
Von Davier advanced methods in test equating, score linking, and mixture modeling within the framework of Item Response Theory. He developed and disseminated approaches for linear and nonlinear equating that address common‑item nonequivalent groups and multiple‑group scaling found in assessments like PISA and TIMSS. His methodological repertoire includes approaches to kernel equating, equipercentile linking, and variations on concurrent calibration used by testing programs such as ACT and GRE programs administered by Educational Testing Service.
A substantial strand of his work involves mixture IRT models and cognitive diagnostic assessment designs, often interfacing with Bayesian estimation techniques employed in software ecosystems used by psychometricians at Northwestern University and University of Illinois. He contributed to procedures for test-score reporting practices aligned with standards promulgated by bodies such as American Psychological Association and operational guidelines used by National Council on Measurement in Education. Von Davier's research addresses challenges in adaptive testing, differential item functioning analyses related to groups defined by demographics from countries participating in OECD studies, and detection of aberrant response patterns relevant to certification programs overseen by World Health Organization partnerships.
Von Davier authored and coauthored numerous articles in journals and edited volumes published by publishers associated with Springer, Elsevier, and scholarly outlets like Journal of Educational Measurement, Psychometrika, and Applied Psychological Measurement. He has contributed chapters to handbooks used in training at workshops run by Psychometric Society and AERA.
He led development of software implementations and R packages that operationalize equating, scaling, and IRT estimation techniques used by practitioners in testing programs in United States, Germany, and other testing jurisdictions. These projects interfaced with statistical engines such as R Project for Statistical Computing and computational libraries utilized by researchers at Carnegie Mellon University and Massachusetts Institute of Technology. His codebases have been integrated into pipelines for large-scale assessments and license-exam scoring systems employed by professional organizations like American Medical Association-related certification entities.
Von Davier's contributions have been recognized with invitations to keynote symposia at meetings of the Psychometric Society and sessions at the American Educational Research Association. He has received professional commendations and fellowships from organizations active in educational measurement, including awards and distinctions granted by National Council on Measurement in Education-affiliated committees and honors conferred in recognition by international assessment consortia such as IEA.
Category:Psychometricians Category:Educational measurement