Augustin Kelava

发表

On a Generalization of Local Independence in Item Response Theory Based on Knowledge Space Theory

Andrea Spoto, Jürgen Heller, Stefano Noventa, 2018, Psychometrika.

Context Sensitivity of EEG-Based Workload Classification Under Different Affective Valence

Sebastian Grissmann, Peter Gerjets, Josef Faller, 2020, IEEE Transactions on Affective Computing.

Nonparametric estimation of a latent variable model

Adam Krzyzak, Michael Kohler, Augustin Kelava, 2017, J. Multivar. Anal..

Forecasting Intra-individual Changes of Affective States Taking into Account Inter-individual Differences Using Intensive Longitudinal Data from a University Student Dropout Study in Math

Holger Brandt, Judith Glaesser, Augustin Kelava, 2021, Psychometrika.

A Simulation Study Comparing Recent Approaches for the Estimation of Nonlinear Effects in SEM Under the Condition of Nonnormality

Holger Brandt, Augustin Kelava, Andreas G. Klein, 2014 .

Advanced Nonlinear Latent Variable Modeling: Distribution Analytic LMS and QML Estimators of Interaction and Quadratic Effects

Dieter Zapf, Leona S. Aiken, Heining Cham, 2011 .

A Nonlinear Structural Equation Mixture Modeling Approach for Nonnormally Distributed Latent Predictor Variables

Holger Brandt, Benjamin Nagengast, Augustin Kelava, 2014 .

Fitting Nonlinear Structural Equation Models in R with Package nlsem

Holger Brandt, Augustin Kelava, Nora Umbach, 2017 .

Challenges in Nonlinear Structural Equation Modeling

Helfried Moosbrugger, Augustin Kelava, Karin Schermelleh-Engel, 2007 .

A Nonlinear Dynamic Latent Class Structural Equation Model

Holger Brandt, Augustin Kelava, A. Kelava, 2019, Structural Equation Modeling: A Multidisciplinary Journal.

STUDENTS’ COMPETENCIES IN WORKING WITH FUNCTIONS IN SECONDARY MATHEMATICS EDUCATION—EMPIRICAL EXAMINATION OF A COMPETENCE STRUCTURE MODEL

Anneke Fredebohm, Augustin Kelava, M. Wirtz, 2015 .

Multicollinearity and missing constraints: A comparison of three approaches for the analysis of latent nonlinear effects.

Helfried Moosbrugger, Augustin Kelava, Karin Schermelleh-Engel, 2008 .

Predicting Math Student Success in the Initial Phase of College With Sparse Information Using Approaches From Statistical Learning

Augustin Kelava, Pascal Kilian, A. Kelava, 2020, Frontiers in Education.

Advanced nonlinear structural equation modeling: Theoretical properties and empirical application of the distribution-analytic LMS and QML estimators.

Yue Ma, Stephen G. West, Augustin Kelava, 2011 .