16 Publikationen
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2023 | Preprint | Veröffentlicht | PUB-ID: 2983249Kiefer, C., Woud, M.L., Blackwell, S.E., Mayer, A.: Average Treatment Effects on Binary Outcomes with Stochastic Covariates. PsyArXiv. (2023).PUB | DOI | Download (ext.) | Preprint
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2023 | Preprint | Veröffentlicht | PUB-ID: 2983248Kiefer, C., Wilker, S., Mayer, A.: Interactions Between Latent Variables in Count Regression Models. PsyArXiv. (2023).PUB | DOI | Download (ext.) | Preprint
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2023 | Preprint | Veröffentlicht | PUB-ID: 2983399Kiefer, C., Lugauer, B., Mayer, A.: Definition and Identification of Causal Ratio Effects. (2023).PUB | DOI | Download (ext.)
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2023 | Report | PUB-ID: 2978117Claus, A.M., Lampel, G., Kiefer, C., Mayer, A., Wiese, B.S.: Interdisciplinary, Multidisciplinary, and Monodisciplinary Study Programs in Germany: A classification scheme. NEPS Survey Paper, 103. LIfBi Leibniz Institute for Educational Trajectories (2023).PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969141Kiefer, C., Claus, A.M., Jung, A.J., Wiese, B.S., Mayer, A.: Discovering Exceptional Development of Commitment in Interdisciplinary Study Programs. Zeitschrift für Psychologie. 231, 53-64 (2023).PUB | PDF | DOI | Download (ext.) | WoS
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966192Kiefer, C., Lemmerich, F., Langenberg, B., Mayer, A.: Subgroup discovery in structural equation models. Psychological Methods. (2022).PUB | DOI | WoS | PubMed | Europe PMC
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2021 | Preprint | Veröffentlicht | PUB-ID: 2957850Kiefer, C., Lemmerich, F., Langenberg, B., Mayer, A.: Subgroup Discovery in Structural Equation Models. PsyArXiv. (2021).PUB | DOI | Download (ext.)
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2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2966364Mayer, A., Kiefer, C., Langenberg, B., Lemmerich, F.: Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories. In: Engel, U., Quan-Haase, A., Liu, S.X., and Lyberg, L. (eds.) Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods. p. 244-268. Routledge, London (2021).PUB | DOI
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2020 | Dissertation | Veröffentlicht | PUB-ID: 2946666Kiefer, C.: Average and conditional treatment effects on count outcomes : a moment-based approach. RWTH Aachen, Aachen (2020).PUB | DOI | Download (ext.)
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2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2946667Lemmerich, F., Kiefer, C., Langenberg, B., Cacho Aboukhalil, J., Mayer, A.: Mining Exceptional Mediation Models. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., and Raś, Z.W. (eds.) Foundations of Intelligent Systems. 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings. Lecture Notes in Computer Science. 12117, p. 318-328. Springer , Cham (2020).PUB | DOI
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950353Kiefer, C., Rosseel, Y., Wiese, B.S., Mayer, A.: Modeling and predicting non-linear changes in educational trajectories: The multilevel latent growth components approach. Psychological Test and Assessment Modeling. 60, 189–22 (2018).PUB | PDF
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