Corinne Huggins-Manley
Associate Professor | University of Florida
Gainesville, FL, UNITED STATES
Corinne Huggins-Manley studies quantitative methods for measuring and analyzing educational phenomena.
Biography
Corinne Huggins-Manley is an associate professor in Educational Research, Measurement, and Evaluation. Her research is focused on educational measurement, particularly with respect to issues of validity and fairness. She has published research on developments in fairness as a lack of statistical bias (e.g., differential item functioning; population invariance of equating) as well as on broader issues of fair measurement and construct validity. She is the principal investigator and co-principal Investigator on three large measurement grants from the Institute of Education Sciences and the National Science Foundation.
Areas of Expertise (2)
Fairness in Educational Measurement
Educational Measurement
Articles (3)
Multilevel Mixture Modeling with Propensity Score Weights for Quasi-Experimental Evaluation of Virtual Learning Environments
Structural Equation Modeling: A Multidisciplinary JournalWalter L. Leite, et al.
2021-06-09
With the growing use of virtual learning environments (VLE), innovative methods to evaluate their performance are increasingly needed. A key difficulty in evaluating VLE using system logs is the large heterogeneity of usage patterns. The current study demonstrates an approach to classify complex patterns of student-level and classroom-level usage with latent class analysis, then estimate average treatment effects (ATEs) of membership in student or classroom classes, as well as joint effects.
Semisupervised Learning Method to Adjust Biased Item Difficulty Estimates Caused by Nonignorable Missingness in a Virtual Learning Environment
Educational and Psychological ManagementKang Xue, et al.
2021-06-04
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of nonignorable missing data in the VLE log file data.
Unsupported Causal Inferences in the Professional Counseling Literature Base
Journal of Counseling and DevelopmentA. Corinne Huggins-Manley, et al.
2021-06-08
At the heart of many counseling research interests and questions is a desire to understand causal relationships between variables. However, inferring causation from correlational studies ranges from difficult to impossible, and researchers have found that various literature bases contain large proportions of studies that draw unsupported causal inferences.
