Publikationen

  • 2023
    • Bee, R. M., Koch, T., & Eid, M. (2023). A General Theorem and Proof for the Identification of Composed CFA Models. Psychometrika. https://doi.org/10.1007/s11336-023-09933-6Externer Link
    • 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. https://doi.org/10.1177/21676968221081275Externer Link
    • 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. https://doi.org/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. https://doi.org/10.1080/10705511.2022.2140664Externer Link
    • 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. https://doi.org/10.1080/10705511.2022.2096612Externer Link
    • 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), 1005–1028. https://doi.org/10.1037/met0000592Externer Link
  • 2022
    • 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. https://doi.org/10.1080/1068316X.2021.1909022Externer Link
  • 2021
    • 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. https://doi.org/10.3389/fpsyg.2021.604526Externer Link
  • 2020
    • 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. https://doi.org/10.1027/1015-5759/a000577Externer Link
    • 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. https://doi.org/10.1080/10705511.2019.1638784Externer Link
  • 2019
    • 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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1177/0013161X18806346Externer Link
  • 2018
    • 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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1080/10705511.2017.1373595Externer Link
  • 2017
  • 2016
  • 2015
    • 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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1027/1015-5759/a000232Externer Link
  • 2014
    • Eid, M., & Koch, T. (2014). The Meaning of Higher-Order Factors in Reflective-Measurement Models. Measurement: Interdisciplinary Research and Perspectives, 12(3), 96–101. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1080/10705511.2014.856700Externer Link
  • 2012

Book Chapters (peer-reviewed)

  • 2021
    • Eid, M., Holtmann, J., & Koch, T. (2021). Restricted correlated trait-correlated method models for analyzing multitrait-multimethod data. In J. L. Helm, Advanced Multitrait-Multimethod Analyses for the Behavioral and Social Sciences (1. Aufl., S. 28–50). Routledge. https://doi.org/10.4324/9780429320989-3Externer Link
    • Koch, T., Holtmann, J., Crayen, C., & Heekerens, J. (2021). Construction of informative priors for the application of CFA-MTMM models in small samples. In J. L. Helm, Advanced Multitrait-Multimethod Analyses for the Behavioral and Social Sciences (1. Aufl., S. 129–153). Routledge. https://doi.org/10.4324/9780429320989-7Externer Link
  • 2018
    • 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. https://doi.org/10.1002/9781118489772.ch25Externer Link
  • 2017
  • 2016
    • 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. https://doi.org/10.1007/978-3-658-10394-1_8Externer Link

Datasets

  • 2023
    • 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. https://doi.org/10.5160/PSYCHDATA.HNJA15BI24_V100Externer Link