Methods Center

Prof. Dr. Augustin Kelava

Director of the Methods Center and Professor for Quantitative Methods

Methods Center
Hölderlinstraße 29
72074 Tübingen
 +49 7071 29 74933
Fax: +49 7071 29 35264



Main Research

  • latent variable models (in general)
    • nonlinear SEM and IRT models
    • estimation methods of nonlinear effects
    • semi- and non-parametric latent variable models
    • latent mixture models
    • nonlinear multilevel models
  • competence modelling
    • intercultural competencies
    • mathematical competencies of math teachers (incl. content knowledge and pedagogical content knowledge)
  • emotion regulation
    • coherence of psychophysiological measures of emotion regulation
    • intra- und interindividual differences in emotion regulation

Curriculum Vitae

since 2018
Director of the Methods Center & Professor at the Methods Center

Section Quantitative Methods, University of Tübingen

Offer University of California, Merced, Department of Psychology, Quantitative Psychology


2015 - 2018
Director of the Tübingen Postdoc Academy of Education Sciences

University of Tübingen

2013 - 2018
Professor of Education Sciences

at the Hector Research Institute of Education Sciences and Psychology, University of Tübingen

2011 - 2013
Assistant Professor of Psychological and Psychophysiological Methods

at the Institute of Psychology, Technical University Darmstadt

PhD in Psychology

Goethe University Frankfurt Dissertation: „Multicollinearity of nonlinear latent structural equation models“ („summa cum laude“)

Diploma in Psychologie

Goethe University Frankfurt

1998 - 2004
Psychologie Studies

Goethe University Frankfurt


  • Conference President of 13th Meeting of the Quantitative Section of the German Psychological Society  [FGME 2017] in Tübingen; 18.-20. September 2017
  • Organizer Structural Equation Modeling Working Group Meeting [SEM 2019]; 28.02.-01.03.2019


  • Alexander von Humboldt Stiftung / Foundation
  • Biological Psychology
  • British Journal of Mathematical and Statistical Psychology
  • Deutsche Forschungsgemeinschaft (DFG; German Research Foundation)
  • Diagnostica
  • Educational and Psychological Measurement
  • Einstein Stiftung Berlin (Einstein Foundation Berlin)
  • Empirische Pädagogik
  • European Journal of Psychological Assessment (EJPA)
  • European Journal of Work and Organizational Psychology
  • Frontiers in Psychology
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Signal Processing
  • Journal of Educational and Behavioral Statistics (JEBS)
  • Journal of Educational Measurement (JEM)
  • Journal of Educational Psychology
  • Journal of Individual Differences (JID)
  • Journal of Numerical Cognition
  • Journal of the American Statistical Association (JASA)
  • Methodology – European Journal of Research Methods for the Behavioral and Social Sciences
  • Multivariate Behavioral Research (MBR)
  • Personality and Individual Differences (PAID)
  • Psychoanalytic Psychology
  • Psychologische Rundschau
  • Psychological Test and Assessment Modeling
  • Psychology Science Quaterly (PSQ)
  • Psychometrika
  • Review of Psychology
  • Sociological Methods and Research
  • Statistics in Medicine
  • Structural Equation Modeling
  • Swiss National Science Foundation (SNSF)
  • Zeitschrift für Erziehungswissenschaft
  • Zeitschrift für Pädagogische Psychologie

Memberships in Professional Organizations

  • Deutsche Gesellschaft für Psychologie [DGPs; German Psychological Society]
  • European Association of Methodology (EAM)
  • Gesellschaft für Empirische Bildungsforschung [GEBF; Association for Empirical Educational Research]
  • Psychometric Society

Functions in Professional Organizations

  • 2007-2011: Secretary of the Curatorship for Quality Assurance in Psychological Assessement (Federation of German psychological professional organizations)
  • 2011/12: Member of the “young researchers” Commission of the German Psychological Society
  • 2010-2012: (Associate) Speaker of all young researchers of the German Psychological Society
  • 2009-2012: (Associate) Speaker of the young researchers of the Quantitative Section of the German Psychological Society


Text book

  • Moosbrugger, H. & Kelava, A. (Eds.) (2012). Testtheorie und Fragebogenkonstruktion. (2. ed.). Heidelberg: Springer. Link

Selected journal articles

  • Kelava, A., & Brandt, H. (in press). A nonlinear dynamic latent class structural equation model. Structural Equation Modeling. Link
  • 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. Link
  • 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. Link
  • 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.
  • 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. Link
  • Graser, J., Heimlich, C., Kelava, A., Hofmann, S.G., Stangier, U., & Schreiber, F. (accepted). Erfassung der Emotionsregulation bei Jugendlichen anhand des „Affective Style Questionnaire (ASQ-Y)“. Diagnostica.
  • Leyhr, D., & Kelava, A., Raabe, J., & Höner, O. (2018). Longitudinal motor performance development in early adolescence and its relationship to adult success: An 8-year prospective study of highly talented soccer players. PLoS ONE 13(5), e0196324. doi: 10.1371/journal.pone.0196324 Link
  • 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 version of the Breast Cancer Treatment Outcome Scale (BCTOS-12). The Breast, 38, 58-65. Link
  • Koch, T., Kelava, A., & Eid, M. (2018). Analyzing Different Types of Moderated Method Effects in Confirmatory Factor Models for Structurally Different Methods. Structural Equation Modeling, 25, 179-200. Link
  • Lösch, T., Kelava, A., Nagengast, B., Trautwein, U., & Lüdtke, O. (2017). Perspective matters: The internal/external frame of reference model for self- and peer ratings of achievement. Learning and Instruction, 52, 80-89. Link
  • Lösch, T., Lüdtke, O., Robitzsch, A., Kelava, A., Nagengast, B., & Trautwein, U. (2017). A well-rounded view: Using an interpersonal approach to predict achievement by academic self-concept and peer ratings of competence. Contemporary Educational Psychology, 51, 198-208. Link
  • Höner, O., Leyhr, D., & Kelava, A. (2017). The influence of speed abilities and technical skills in early adolescence on adult success in soccer: A long-term prospective analysis using SEM approaches. PLOS ONE 12(8): e0182211. Link
  • Merk, S., Schneider, J., Bohl, T., Kelava, A., & Syring, M. (2017). Epistemologische Überzeugungen von Lehramtsstudierenden bezüglich pädagogischen Wissens: Gegenstands-, Quellen- und Kontextspezifität. Journal for Educational Research Online, 9(1), 169-189. Link
  • Grissmann, S., Zander, T. O., Faller, J., Brönstrup, J., Kelava, A., Gramann, K., & Gerjets, P. (2017). Affective aspects of perceived loss of control and potential implications for brain-computer interfaces. Frontiers in Human Neuroscience, 11:370. Link
  • Mayer, A., Umbach, N., Flunger, B., & Kelava, A. (2017). Detailed effect analysis using non-linear structural equation mixture modeling. Structural Equation Modeling, 24, 556-570. Link
  • Kelava, A., Kohler, M., Krzyzak, A., & Schaffland, T. (2017). Nonparametric estimation of a latent variable model. Journal of Multivariate Analysis, 154, 112-134. Link
  • Umbach, N., Naumann, K., Brandt, H., Kelava, A. (2017). Fitting Nonlinear Structural Equation Models in R with Package nlsem. Journal of Statistical Software, 77 (7). Link
  • Kelava, A. (2016). A Review of Confirmatory Factor Analysis for Applied Research (Second Edition). Journal of Educational and Behavioral Statistics, 41, 443-447. Link
  • Nitsch, R., Bruder, R., & Kelava, A. (2016). Schülerhandlungen als Elemente fachdidaktisch motivierter Kompetenzmodellierungen. Journal for Didactics of Mathematics, 37, 289-317.
  • Schnabel, D. B. L., Kelava, A., van de Vijver, F. J. R., & Seifert, L. (2016). The effects of using collaborative assessment with students going abroad: Intercultural competence development, self-understanding, self-confidence, and stages of change. Journal of College Student Development, 57, 79-94.
  • Guo, J., Nagengast, B., Marsh, H.W., Kelava, A., Gaspard, H., Brandt H., Cambria, J., Flunger, B., Dicke, A.-L., Häfner, I., Brisson, B., Trautwein, U. (2016). Probing the Unique Contributions of Self-Concept, Task Values, and Their Interactions Using Multiple Value Facets and Multiple Academic Outcomes. AERA Open, 2(1), 1–20. Link
  • Brandt, H., Umbach, N., & Kelava, A. (2015). The Standardization of Linear and Nonlinear Effects in Direct and Indirect Applications of Structural Equation Mixture Models for Normal and Nonnormal Data. Front. Psychol. 6:1813. doi: 10.3389/fpsyg.2015.01813 Link
  • 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
  • Kelava, A., Muma, M., Deja, M., & Zoubir, A. M. (2015). A new approach for the quantification of coherence of multivariate non-stationary data with an application to psychophysiological measures during emotion regulation. Frontiers in Psychology (Quantitative Psychology and Measurement), 5:1507. [doi: 10.3389/fpsyg.2014.01507]. Link
  • Schnabel, D. B. L., Kelava, A., Seifert, L., & Kuhlbrodt, B. (2015). Konstruktion und Validierung eines multimethodalen berufsbezogenen Tests zur Messung interkultureller Kompetenz. Diagnostica, 61, 3-21. [doi: 10.1026/0012-1924/a000110]. Link
  • Nitsch, R., Fredebohm, A., Bruder, R., Kelava, A., Naccarella, D., Leuders, & T. Wirtz, M. (2014). Students’ competencies in working with functions in secondary mathematics education – empirical examination of a competence structure model. International Journal of Science and Mathematics Education, 1-26. [doi: 10.1007/s10763-013-9496-7]. Link
  • Kelava, A. & Brandt, H. (2014). A general nonlinear multilevel structural equation mixture model. Frontiers in Psychology (Quantitative Psychology and Measurement), 5:748. [doi: 10.3389/fpsyg.2014.00748]. Link
  • Kelava, A., Nagengast, B., & Brandt, H. (2014). A nonlinear structural equation mixture modeling approach for non-normally distributed latent predictor variables. Structural Equation Modeling, 21, 468-481. Link
  • Brandt, H., Kelava, A., & Klein, A. G. (2014). A Simulation study comparing recent approaches for the estimation of nonlinear effects in SEM under the condition of non-normality. Structural Equation Modeling, 21, 181-195. Link
  • Nagengast, B., Trautwein, U., Kelava, A., & Lüdtke, O. (2013). Synergistic effects of expectancy and value on homework engagement: The case for a within-person perspective. Multivariate Behavioral Research, 48, 428-460. Link
  • Klug, J., Bruder, S., Kelava, A., Spiel, C., & Schmitz, B. (2013). Diagnostic competence of teachers: A process model that accounts for diagnosing learning behavior tested by means of a case scenario. Teaching and Teacher Education, 30, 38-46. Link
  • Kelava, A. & Nagengast, B. (2012). A Bayesian approach for the estimation of latent interaction and quadratic effects when latent variables are non-normally distributed. Multivariate Behavioral Research, 47, 717-742. Link
  • Kelava, A., Werner, C., Schermelleh-Engel, K., Moosbrugger, H., Zapf, D., Ma, Y., Cham, H., Aiken, L.S., & West, S.G. (2011). Advanced nonlinear structural equation modeling: Theoretical properties and empirical application of the distribution-analytic LMS and QML estimators. Structural Equation Modeling, 18, 465-491. Link