Ed Merkle

Ed Merkle
28A McAlester Hall
Lab Area: 
Research Interests: 

Forecasting and subjective probability: Aggregation, evaluation, crowdsourcing

Psychometric measurement: Test/item bias and fairness

Statistical modeling: Estimation, selection, computing

Bayesian latent variables models: R package blavaan

Some code for reproducing published results can be found here.

Selected Publications: 

Full publication list is at https://ecmerkle.github.io/

Merkle, E. C., Furr, D., & Rabe-Hesketh, S. (2019). Bayesian comparison of latent variable models: Conditional versus marginal likelihoods. Psychometrika, 84(3), 802–829.

Merkle, E. C. & Rosseel, Y. (2018). blavaan: Bayesian structural equation models via parameter expansion. Journal of Statistical Software, 85(4), 1-30.

Merkle, E. C., You, D., & Preacher, K. J. (2016). Testing non-nested structural equation models. Psychological Methods, 21, 151-163.

Merkle, E. C., Steyvers, M., Mellers, B., & Tetlock, P. E. (2016). Item response models of probability judgments: Application to a geopolitical forecasting tournament. Decision, 3, 1-19.

Smithson, M. & Merkle, E. C. (2013). Generalized linear models for categorical and limited dependent variables. Boca Raton, FL: Chapman & Hall/CRC.