Mayer, A., Umbach, N., Flunger, B., & Kelava, A. (in press). Detailed effect analysis using non-linear structural equation mixture modeling. Structural Equation Modeling.
Less distributional assumptions…. 😉 Kelava, A., Kohler, M., Krzyzak, A., & Schaffland, T. (in press). Nonparametric estimation of a latent variable model. Journal of Multivariate Analysis. http://dx.doi.org/10.1016/j.jmva.2016.10.006
Umbach, N., Naumann, K., Brandt, H., Kelava, A. (in press). Fitting Nonlinear Structural Equation Models in R with Package nlsem. Journal of Statistical Software.
Schnabel, D., Kelava, A., van de Vijver, F. J. R., & Seifert, L. (2015). Examining Psychometric Properties, Measurement Invariance, and Construct Validity of a Short Version of the Test to Measure Intercultural Competence (TMIC-S) in Germany and Brazil. International Journal of Intercultural Relations, 49, 137-155. [doi:10.1016/j.ijintrel.2015.08.002] Link
… gave a talk on “The Statistical Crisis in Science” at the 2015 meeting of the methods section of the German Psychological Society (https://www.metheval.uni-jena.de/fgme2015/). Courageous person. andrewgelman.com
Browne, M.W. & Shapiro, A. (2015). Comment on the Asymptotics of a Distribution-Free Goodness of Fit Test Statistics. Psychometrika, 80, 196-199. http://link.springer.com/article/10.1007/s11336-013-9383-8