Li Cai (psychometrician)

Li Cai
蔡力
Bornc. 1980 (age 43–44)
Alma materNanjing University
Ohio State University
University of North Carolina
Known forInvention and proof of correctness of a solution for latent variable models that were considered intractable
AwardsAERA Outstanding Quantitative Dissertation (2009)
NCME Brenda H. Loyd Award (2009)
APA Anne Anastasi Distinguished Early Career Award (2011)
SMEP Cattell Award (2012)
NSF PECASE (2012)
FABBS Early Career Impact Award (2015)
Scientific career
FieldsStatistics
Psychometrics
InstitutionsUCLA
CRESST
Thesis A Metropolis–Hastings Robbins–Monro algorithm for maximum likelihood nonlinear latent structure analysis with a comprehensive measurement model
Doctoral advisorDavid Thissen

Li Cai (Chinese: 蔡力; pinyin: Cài Lì; born c. 1980) is a statistician and quantitative psychologist. He is a professor of Advanced Quantitative Methodology at the UCLA Graduate School of Education and Information Studies with a joint appointment in the quantitative area of the UCLA Department of Psychology. He is also Director of the National Center for Research on Evaluation, Standards, and Student Testing, Managing Partner at Vector Psychometric Group.

He invented the Metropolis–Hastings Robbins–Monro algorithm for inference in high-dimensional latent variable models that had been intractable with existing solutions. The algorithm was recognized as a mathematically rigorous breakthrough in the "curse of dimensionality" and garnered numerous top-tier publications and national awards.[1][2][3][4][5]

Career

A native of Nanjing, China and alumnus of the Nanjing Foreign Language School, Cai earned a bachelor's degree with distinction from Nanjing University in 2001. He completed his undergraduate studies in three years and, in that time, also won multiple international competitions for public speaking.[6] After earning a master's degree in journalism at Ohio State University in 2003, he moved to the University of North Carolina at Chapel Hill, earning a second master's in mathematical statistics in 2006 and PhD in quantitative psychology in 2008.[7]

He joined the psychology and education faculty at the University of California, Los Angeles in 2008 and was awarded tenure in 2011. He was appointed a full professor in 2014.

Research

Cai publishes methodology in statistics (including statistical computing) and psychometrics, and conducts applied research in educational measurement, health outcomes, and developmental psychology. He serves on the editorial boards of various journals in quantitative methods in the social sciences.

Software

Cai develops flexMIRT, a statistical program for multilevel modeling and multidimensional item response theory.[8] In addition, he is the coauthor (with David Thissen, his doctoral advisor) of IRTPRO, another program for parametric estimation and test scoring.[9]

References

  1. ^ Cai, Li (2010). "High-dimensional Exploratory Item Factor Analysis by a Metropolis–Hastings Robbins–Monro Algorithm" (PDF). Psychometrika. 75: 33–57. doi:10.1007/s11336-009-9136-x.
  2. ^ Cai, Li (2010). "Metropolis-Hastings Robbins-Monro Algorithm for Confirmatory Item Factor Analysis". Journal of Educational and Behavioral Statistics. 35 (3): 307–335. doi:10.3102/1076998609353115. S2CID 122919429.
  3. ^ "My CV".
  4. ^ "Outanding Quantitative Dissertation".
  5. ^ "Loyd Award". Archived from the original on 2017-03-16. Retrieved 2017-03-16.
  6. ^ "南大校友获美国"青年科学家总统奖",他告诫学子:认清自己更有益(现代快报)".
  7. ^ "南京大学外国语学院". Archived from the original on 2017-03-16. Retrieved 2017-03-16.
  8. ^ "FlexMIRT® – Vector Psychometric Group". Archived from the original on 2017-03-16. Retrieved 2017-03-16.
  9. ^ "SSI - Scientific Software International, Inc".