Publikationen

• Eid, M., Geiser, C., & Koch, T. (2025). Structural equation modeling of multiple rater data. New York: Guilford PressExterner Link.

• Bloszies, C., & Koch, T. (2024). Assessing Heterogeneity of Correlation Matrices in Misspecified Meta-Analytic Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal, 1–13. DOI: 10.1080/10705511.2024.2389400Externer Link
• Wester, R. A., Koch, T.,  Münch, F.,  Driver, C., Lutz, W., & Rubel, J. (in press). In Search of Lost Time. Discrete vs. Continuous Time Models of Working Alliance and Symptom Severity. Journal of Consulting and Clinical Psychology
• Koch, T., & Eid, M. (2024). Augmented bifactor models and bifactor-(S-1) models are identical: A comment on Zhang, Luo, Zhang, Sun & Zhang (2023). Structural Equation Modeling: A Multidisciplinary Journal. DOI: 10.1080/10705511.2024.2339387Externer Link
• Urban, M., Koch, T., & Rothermund, K. (2024). The Implicit Association Test and its Difficulty(ies): Introducing the Test Difficulty Concept to Increase the True-Score Variance and, Consequently, the Predictive Power of Implicit Association Tests. Journal of Personality and Social Psychology.
• Schmidt, B., Böhmer, J., Schnuerch, M., Koch, T., & Michelmann, S. (2024). Post-hypnotic suggestion improves confidence and speed of memory access with long-lasting effects. Acta Psychologica, 245, 104240. DOI: 10.1016/j.actpsy.2024.104240Externer Link

• Bee, R. M., Koch, T., & Eid, M. (2023). A General Theorem and Proof for the Identification of Composed CFA Models. Psychometrika, 88(4), 1334-1353.
• Bohn, J., Holtmann, J., Luhmann, M., Koch, T., & Eid, M. (2023). Consistency and specificity of attachments to parents, friends, and romantic Partners in Emerging Adulthood. Emerging Adulthood, 11(1), 58-73.
• Bohn, M., Prein, J., Koch, T., Bee, R. M., Delikaya, B., Haun, D., & Gagarina, N. (2023). oREV: An item response theory-based open receptive vocabulary task for 3- to 8-year-old children. Behavior Research Methods. DOI: 10.3758/s13428-023-02169-3Externer Link
• Friemelt, B., Bloszies, C., Ernst, M. S., Peikert, A., Brandmaier, A. M., & Koch, T. (2023). On the performance of different regularization methods in bifactor-(S-1) models with explanatory variables—Caveats, recommendations, and future directions. Structural Equation Modeling: A Multidisciplinary Journal, 30(4), 560-573.
• Koch, T., Voelkle, M. C., & Driver, C. C. (2023). Analyzing longitudinal multirater data with individually varying time intervals. Structural Equation Modeling: A Multidisciplinary Journal, 30(1), 86-104.
• Oeltjen, L., Koch, T., Holtmann, J., Münch, F. F., Eid, M., & Nussbeck, F. W. (2023). A general framework for the inclusion of time-varying and time-invariant covariates in latent state–trait models. Psychological Methods, 28(5).

• Jahnke, S., Koch, T., Goede, L. R., Schröder, C. P., Lehmann, L., & Beelmann, A. (2022). Legal cynicism, but not depression, mediates the link between adverse environmental factors and youth’s political violence support. Psychology, Crime & Law, 28(5), 470-488.

• Bohn, J., Holtmann, J., Ulitzsch, E., Koch, T., Luhmann, M., & Eid, M. (2021). Analyzing stability and change in dyadic attachment: The multi-rater latent state-trait model with autoregressive effects. Frontiers in psychology, 12, 604526.

• Koch, T., Holtmann, J., Bohn, J., & Eid, M. (2020). Multitrait-multimethod analysis. Encyclopedia of personality and individual differences, 3034-3056.
• Semmler-Busch, U., & Koch, T. (2020). Wie wirken sich Migrationshintergrund und sozioökonomischer Status auf die Beurteilung nicht-kognitiver Kompetenzen aus?. Diversität und soziale Ungleichheit: Herausforderungen an die Integrationsleistung der Grundschule, 121-125.
• Koch, T., Holtmann, J., Eid, M., & West, S. G. (2020). Analyzing longitudinal multirater data with changing and stable raters. Structural Equation Modeling: A Multidisciplinary Journal, 27(1), 73-87.
• Holtmann, J., Koch, T., Bohn, J., & Eid, M. (2020). Multimethod Assessement of Time-Stable and Time-Variable Interindividual Differences: Introduction of a New Multitrait-Multimethod Latent State-Trait IRT Model. European Journal of Psychological Assessment, 36(6), 1024-1043.
• Bohn, J., Holtmann, J., Luhmann, M., Koch, T., & Eid, M. (2020). Attachment to parents and well-being after high school graduation: a study using self-and parent ratings. Journal of Happiness Studies, 21(7), 2493-2525.

• Koch, T., & Semmler-Busch, U. (2019). On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models. Structural Equation Modeling: A Multidisciplinary Journal, 26(2), 212–235. DOI: 10.1080/10705511.2018.1516506Externer Link
• Selmo, P., Koch, T., Brand, J., Wagner, B., & Knaevelsrud, C. (2019). Psychometric Properties of the Online Arabic Versions of BDI-II, HSCL-25, and PDS. European Journal of Psychological Assessment, 35(1), 46–54. DOI: 10.1027/1015-5759/a000367Externer Link
• Pietsch, M., Tulowitzki, P., & Koch, T. (2019). On the Differential and Shared Effects of Leadership for Learning on Teachers’ Organizational Commitment and Job Satisfaction: A Multilevel Perspective. Educational Administration Quarterly, 55(5), 705–741. DOI: 10.1177/0013161X18806346Externer Link

• Eid, M., Krumm, S., Koch, T., & Schulze, J. (2018). Bifactor Models for Predicting Criteria by General and Specific Factors: Problems of Nonidentifiability and Alternative Solutions. Journal of Intelligence, 6(3), 42. DOI: 10.3390/jintelligence6030042Externer Link
• Koch, T., Holtmann, J., Bohn, J., & Eid, M. (2018). Explaining general and specific factors in longitudinal, multimethod, and bifactor models: Some caveats and recommendations. Psychological Methods, 23(3), 505–523. DOI: 10.1037/met0000146Externer 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: A Multidisciplinary Journal, 25(2), 179–200. DOI: 10.1080/10705511.2017.1373595Externer Link

• Busch, C., Koch, T., Clasen, J., Winkler, E., & Vowinkel, J. (2017). Evaluation of an organizational health intervention for low-skilled workers and immigrants. Human Relations, 70(8), 994–1016Externer Link. DOI: 10.1177/0018726716682308Externer Link
• Eid, M., Geiser, C., Koch, T., & Heene, M. (2017). Anomalous results in G-factor models: Explanations and alternatives. Psychological Methods, 22(3), 541–562. DOI: 10.1037/met0000083Externer Link
• Gorges, J., Koch, T., Maehler, D. B., & Offerhaus, J. (2017). Same but different? Measurement invariance of the PIAAC motivation-to-learn scale across key socio-demographic groups. Large-Scale Assessments in Education, 5(1), 13. DOI: 10.1186/s40536-017-0047-5Externer Link
• Holtmann, J., Koch, T., Bohn, J., & Eid, M. (2017). Bayesian analysis of longitudinal multitrait–multimethod data with ordinal response variables. British Journal of Mathematical and Statistical Psychology, 70(1), 42–80. DOI: 10.1111/bmsp.12081Externer Link
• Koch, T., Schultze, M., Holtmann, J., Geiser, C., & Eid, M. (2017). A Multimethod Latent State-Trait Model for Structurally Different And Interchangeable Methods. Psychometrika, 82(1), 17–47. DOI: 10.1007/s11336-016-9541-xExterner Link
• Praetorius, A.-K., Koch, T., Scheunpflug, A., Zeinz, H., & Dresel, M. (2017). Identifying determinants of teachers’ judgment (in)accuracy regarding students’ school-related motivations using a Bayesian cross-classified multi-level model. Learning and Instruction, 52, 148–160. DOI: 10.1016/j.learninstruc.2017.06.003Externer Link
• Von Salisch, M., Denham, S. A., & Koch, T. (2017). Emotion Knowledge and Attention Problems in Young Children: A Cross-Lagged Panel Study on the Direction of Effects. Journal of Abnormal Child Psychology, 45(1), 45–56. DOI: 10.1007/s10802-016-0157-5Externer Link

• Eid, M., Geiser, C., & Koch, T. (2016). Measuring Method Effects: From Traditional to Design-Oriented Approaches. Current Directions in Psychological Science, 25(4), 275–280. DOI: 10.1177/0963721416649624Externer Link
• Gorges, J., Maehler, D. B., Koch, T., & Offerhaus, J. (2016). Who likes to learn new things: Measuring adult motivation to learn with PIAAC data from 21 countries. Large-Scale Assessments in Education, 4(1), 9. DOI: 10.1186/s40536-016-0024-4Externer Link
• Holtmann, J., Koch, T., Lochner, K., & Eid, M. (2016). A Comparison of ML, WLSMV, and Bayesian Methods for Multilevel Structural Equation Models in Small Samples: A Simulation Study. Multivariate Behavioral Research, 51(5), 661–680. DOI: 10.1080/00273171.2016.1208074Externer Link
• Koch, T., & Schultze, M. (2016). A Review of Latent Variable Modeling Using R—A Step-by-Step-Guide. Journal of Educational and Behavioral Statistics, 41(3), 349–354. DOI: 10.3102/1076998615622185Externer Link
• Koch, T., Schultze, M., Jeon, M., Nussbeck, F. W., Praetorius, A.-K., & Eid, M. (2016). A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods. Multivariate Behavioral Research, 51(1), 67–85. DOI: 10.1080/00273171.2015.1101367Externer Link
• Luhmann, M., Bohn, J., Holtmann, J., Koch, T., & Eid, M. (2016). I’m lonely, can’t you tell? Convergent validity of self- and informant ratings of loneliness. Journal of Research in Personality, 61, 50–60. DOI: 10.1016/j.jrp.2016.02.002Externer Link
• Mahlke, J., Schultze, M., Koch, T., Eid, M., Eckert, R., & Brodbeck, F. C. (2016). A Multilevel CFA–MTMM Approach for Multisource Feedback Instruments: Presentation and Application of a New Statistical Model. Structural Equation Modeling: A Multidisciplinary Journal, 23(1), 91–110. DOI: 10.1080/10705511.2014.990153Externer Link

• Geiser, C., Keller, B. T., Lockhart, G., Eid, M., Cole, D. A., & Koch, T. (2015). Distinguishing state variability from trait change in longitudinal data: The role of measurement (non)invariance in latent state-trait analyses. Behavior Research Methods, 47(1), 172–203. DOI: 10.3758/s13428-014-0457-zExterner Link
• Koch, T., Schultze, M., Burrus, J., Roberts, R. D., & Eid, M. (2015). A Multilevel CFA-MTMM Model for Nested Structurally Different Methods. Journal of Educational and Behavioral Statistics, 40(5), 477–510. DOI: 10.3102/1076998615606109Externer Link
• Schultze, M., Koch, T., & Eid, M. (2015). The Effects of Nonindependent Rater Sets in Multilevel–Multitrait–Multimethod Models. Structural Equation Modeling: A Multidisciplinary Journal, 22(3), 439–448. DOI: 10.1080/10705511.2014.937675Externer Link
• Vormittag, I., Ortner, T. M., & Koch, T. (2015). How Test Takers See Test Examiners: How They Are Perceived and Who Is Preferred. European Journal of Psychological Assessment, 31(4), 254–262. DOI: 10.1027/1015-5759/a000232Externer Link

• Eid, M., & Koch, T. (2014). The Meaning of Higher-Order Factors in Reflective-Measurement Models. Measurement: Interdisciplinary Research and Perspectives, 12(3), 96–101. DOI: 10.1080/15366367.2014.943591Externer Link
• Geiser, C., Koch, T., & Eid, M. (2014). Data-Generating Mechanisms Versus Constructively Defined Latent Variables in Multitrait–Multimethod Analysis: A Comment on Castro-Schilo, Widaman, and Grimm (2013). Structural Equation Modeling: A Multidisciplinary Journal, 21(4), 509–523. DOI: 10.1080/10705511.2014.919816Externer Link
• Hosoya, G., Koch, T., & Eid, M. (2014). Längsschnittdaten und Mehrebenenanalyse. KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie, 66(S1), 189–218. DOI: 10.1007/s11577-014-0262-9Externer Link
• Koch, T., Ortner, T. M., Eid, M., Caspers, J., & Schmitt, M. (2014). Evaluating the Construct Validity of Objective Personality Tests Using a Multitrait-Multimethod-Multioccasion-(MTMM-MO)-Approach. European Journal of Psychological Assessment, 30(3), 208–230. DOI: 10.1027/1015-5759/a000212Externer Link
• Koch, T., Schultze, M., Eid, M., & Geiser, C. (2014). A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods. Frontiers in Psychology, 5. DOI: 10.3389/fpsyg.2014.00311Externer Link
• Ortner, T. M., Weißkopf, E., & Koch, T. (2014). I Will Probably Fail: Higher Ability Students’ Motivational Experiences During Adaptive Achievement Testing. European Journal of Psychological Assessment, 30(1), 48–56. DOI: 10.1027/1015-5759/a000168Externer Link
• West, S. G., & Koch, T. (2014). Restoring Causal Analysis to Structural Equation ModelingReview of Causality: Models, Reasoning, and Inference (2nd Edition), by Judea Pearl: New York, NY: Cambridge University Press, 484 pp., $45.00. Structural Equation Modeling: A Multidisciplinary Journal, 21(1), 161–166. DOI: 10.1080/10705511.2014.856700Externer Link

• Koch, T., Bondue, R., Daig, I., Fliege, H., & Scheithauer, H. (2012). Psychometric Properties of the German Narcissism Inventory 90 (NI-90) in a Clinical and Non-Clinical Sample of Adolescents: A Comparative Study. Psychopathology, 45(1), 53–60. DOI: 10.1159/000328579Externer Link
• Pham, G., Koch, T., Helmke, A., Schrader, F.-W., Helmke, T., & Eid, M. (2012). Do Teachers Know How Their Teaching is Perceived by their Pupils? Procedia - Social and Behavioral Sciences, 46, 3368–3374Externer Link. DOI: 10.1016/j.sbspro.2012.06.068Externer Link

• Eid, M., Koch, T., & Geiser, C. (2023). Multitrait–multimethod models. Handbook of structural equation modeling, 349-266.

• Eid, M., Holtmann, J., & Koch, T. (2021). Restricted correlated trait-correlated method models for analyzing multitrait-multimethod data. In Advanced Multitrait-Multimethod Analyses for the Behavioral and Social Sciences (pp. 28-50). Routledge.
• Koch, T., Holtmann, J., Crayen, C., & Heekerens, J. (2021). Construction of informative priors for the application of CFA-MTMM models in small samples: A model-free approach. In Advanced Multitrait-Multimethod Analyses for the Behavioral and Social Sciences (pp. 129-153). Routledge.

• Koch, T., Eid, M., & Lochner, K. (2018). Multitrait‐Multimethod‐Analysis: The Psychometric Foundation of CFA‐MTMM Models. In P. Irwing, T. Booth, & D. J. Hughes (Hrsg.), The Wiley Handbook of Psychometric Testing (1. Aufl., S. 781–846). Wiley. DOI: 10.1002/9781118489772.ch25Externer Link

• Koch, T., Holtmann, J., Bohn, J., & Eid, M. (2017). Multitrait-Multimethod Analysis. In V. Zeigler-Hill & T. K. Shackelford (Hrsg.), Encyclopedia of Personality and Individual Differences (S. 1–23). Springer International Publishing. DOI: 10.1007/978-3-319-28099-8_1331-1Externer Link

• Koch, T., & Eid, M. (2016). Statistische Methoden der komparativen internationalen Migrationsforschung. In D. Maehler & H. U. Brinkmann (Hrsg.), Methoden der Migrationsforschung (S. 225–259). Springer Fachmedien Wiesbaden. DOI: 10.1007/978-3-658-10394-1_8Externer Link

• Holtmann, J., Bohn, J., Koch, T., Luhmann, M., & Eid, M. (2023). Attachment, loneliness, and well-being in emerging adulthood: Primary data from a multi-method longitudinal study.Bindung, Einsamkeit und Wohlbefinden im jungen Erwachsenenalter: Primärdaten einer multimethodalen Längsschnittstudie (1.1.0) [dataset]. ZPID Leibniz Institute for Psychology. DOI: 10.5160/PSYCHDATA.HNJA15BI24_V100Externer Link