text book:

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

(some selected) journal articles:

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

Schneider, J., Rosman, T., Kelava, A., & Merk, S. (in press). Do Open Science Badges increase trust in scientists among undergraduates, scientists, and the public? Psychological Science. Link

Kilian, P., Loose, F., & Kelava, A. (2020). Predicting math student success in the initial phase of college with sparse information using approaches from statistical learning. Frontiers in Education, 5. Link

Brandt, H., Umbach, N., Kelava, A., & Bollen, K. (2020). Comparing estimators for latent interaction models under structural and distributional misspecifications. Psychological Methods, 25(3), 321-345. Link

Kelava, A. & Brandt, H. (2019). Nonlinear Dynamic Latent Class Structural Equation Model. Structural Equation Modeling, 26, 509-528. Link

Noventa, S., Spoto, A., Heller, J., & Kelava, A. (2019). On a generalization of local independence in item response theory based on knowledge space theory. Psychometrika, 84, 395-421. Link

Graser, J., Heimlich, C., Kelava, A., Hofmann, S.G., Stangier, U., & Schreiber, F. (2019). Erfassung der Emotionsregulation bei Jugendlichen anhand des „Affective Style Questionnaire (ASQ-Y)“ . [Assessment of emotion regulation strategies of youth using the Affective Style Questionnaire (ASQ-Y).] Diagnostica, 65, 49-59. Link

Leyhr, D., Raabe, J., Schultz, F., Kelava, A., & Höner, O. (2019). The adolescent motor performance development of elite female soccer players: A study of prognostic relevance for future success in adulthood using multilevel modelling. Journal of Sports Sciences, 1-10. Link

Brandt, H., Cambria, J., & Kelava, A. (2018). An adaptive Bayesian lasso approach with spike-and-slab priors to identify linear and interaction effects in structural equation models. Structural Equation Modeling, 25, 956-960. Link

Gemein, C., Roos, M., Wolf, A., Hermann, N., Kelava, A., Chasan, R., Weipert, K., Helmig, I., Bogossian, H., Hamm, C.W., Neumann, T., Schmitt, J., & Erkapic, D. (2018). Tilt testing and what you should know about it – Experience with 835 consecutive patients with syncope of unknown origin. International Journal of Cardiology, 258, 90–96. Link

Barth, B., Mayer-Carius, K., Strehl, U., Kelava, A., Häußinger, F.B., Fallgatter, A.J., & Ehlis, A.-C. (2018). Identification of neurophysiological biotypes in attention deficit hyperactivity disorder. Psychiatry and Clinical Neurosciences, 72, 836–848. Link

Merk, S., Rosman, T., Muis, K., Kelava, A., & Bohl, T. (2018). Topic specific epistemic beliefs: Extending the theory of integrated domains in personal epistemology. Learning and Instruction, 56, 84-97. Link

Grissmann, S., Spüler, M., Faller, J., Krumpe, T., Zander, T., Kelava, A., Scharinger, C., & Gerjets, P. (2017). Context sensitivity of EEG-based  workload classification under different affective valence. IEEE Transactions on Affective Computing. Link

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

Leave a Reply