Edgar C. Merkle, Ph.D.

Affiliations: 
Ohio State University, Columbus, Columbus, OH 
Area:
mathematical psychology
Google:
"Edgar Merkle"
Mean distance: 18.07 (cluster 15)
 
SNBCP

Parents

Sign in to add mentor
Trisha Van Zandt grad student 2005 Ohio State
 (Bayesian estimation of factor analysis models with incomplete data.)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Wang T, Merkle EC, Anguera JA, et al. (2020) Score-based tests for detecting heterogeneity in linear mixed models. Behavior Research Methods
Wang T, Strobl C, Zeileis A, et al. (2017) Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation. Psychometrika
Turner BM, Wang T, Merkle EC. (2017) Factor Analysis Linking Functions for Simultaneously Modeling Neural and Behavioral Data. Neuroimage
Merkle EC, Wang T. (2016) Bayesian latent variable models for the analysis of experimental psychology data. Psychonomic Bulletin & Review
Holmes-Rovner M, Montgomery JS, Rovner DR, et al. (2015) Informed Decision Making: Assessment of the Quality of Physician Communication about Prostate Cancer Diagnosis and Treatment. Medical Decision Making : An International Journal of the Society For Medical Decision Making. 35: 999-1009
Merkle EC, You D, Preacher KJ. (2015) Testing Nonnested Structural Equation Models. Psychological Methods
Wang T, Merkle EC, Zeileis A. (2014) Score-based tests of measurement invariance: use in practice. Frontiers in Psychology. 5: 438
Merkle EC, Fan J, Zeileis A. (2014) Testing for measurement invariance with respect to an ordinal variable. Psychometrika. 79: 569-84
Steyvers M, Wallsten TS, Merkle EC, et al. (2014) Evaluating probabilistic forecasts with Bayesian signal detection models. Risk Analysis : An Official Publication of the Society For Risk Analysis. 34: 435-52
Turner BM, Steyvers M, Merkle EC, et al. (2014) Forecast aggregation via recalibration Machine Learning. 95: 261-289
See more...