Kelava, A., Kilian, P., Glaesser, J., Merk, S., & Brandt, H. (in press). Forecasting intra-individual changes of affective states taking into account interindividual differences using intensive longitudinal data from a university student drop out study in math. Psychometrika. Link
Moosbrugger, H. & Kelava, A. (Eds.) (2020). Testtheorie und Fragebogenkonstruktion. [Test theory and construction of questionnaires.] (3. Ed.). Heidelberg: Springer. doi: 10.1007/978-3-662-61532-4 Also available as pdf: https://www.springer.com/de/book/9783662615317
A new DFG project was approved. The title is: “Dynamic latent variable models: Finite sample properties and sparse estimation“. Start: to be determined Project Team: Augustine Kelava Holger Brandt (Mercator Fellow)
Augustin Kelava appointed as a member of the scientific advisory board ’Student selection and eligibility’ (Beirat ‘Eignung und Auswahl’) of the Ministry of Science, Research and Art of the State Baden-Württemberg (MWK)
Brandt, H., Umbach, N., Kelava, A., & Bollen, K. (in press). Comparing estimators for latent interaction models under structural and distributional misspecifications. Psychological Methods.
Kelava, A. & Brandt, H. (in press). A nonlinear dynamic latent class structural equation model. Structural Equation Modeling.
Noventa, S., Spoto, A., Heller, J., & Kelava, A. (in press). On a generalization of local independence in item response theory based on knowledge space theory. Psychometrika.
Brandt, H., Cambria, J., & Kelava, A. (in press). An adaptive Bayesian Lasso approach with spike-and-slab priors to identify multiple linear and nonlinear effects in structural equation models. Structural Equation Modeling.
Merk, S., Rosman, T., Muis, K., Kelava, A., & Bohl, T. (in press). Topic specific epistemic beliefs: Extending the theory of integrated domains in personal epistemology. Learning and Instruction. Hennings, A., Heil, J., Wagner, A., Rath, M., Moosbrugger, H., Kelava, A., Golotta, M., Hug, S., Riedel, F., Rauch, G., & Feisst, M. (2018). Development and psychometric validation of a shorter
Grissmann, S., Spüler, M., Faller, J., Krumpe, T., Zander, T., Kelava, A., Scharinger, C., & Gerjets, P. (in press). Context sensitivity of EEG-based workload classification under different affective valence. IEEE Transactions on Affective Computing.