16 Publikationen
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2023 | Preprint | Veröffentlicht | PUB-ID: 2983249Kiefer, C., et al., 2023. Average Treatment Effects on Binary Outcomes with Stochastic Covariates. PsyArXiv.PUB | DOI | Download (ext.) | Preprint
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2023 | Preprint | Veröffentlicht | PUB-ID: 2983248Kiefer, C., Wilker, S., & Mayer, A., 2023. Interactions Between Latent Variables in Count Regression Models. PsyArXiv.PUB | DOI | Download (ext.) | Preprint
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2023 | Preprint | Veröffentlicht | PUB-ID: 2983399Kiefer, C., Lugauer, B., & Mayer, A., 2023. Definition and Identification of Causal Ratio Effects.PUB | DOI | Download (ext.)
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2023 | Report | PUB-ID: 2978117Claus, A.M., et al., 2023. Interdisciplinary, Multidisciplinary, and Monodisciplinary Study Programs in Germany: A classification scheme, NEPS Survey Paper, no.103, LIfBi Leibniz Institute for Educational Trajectories.PUB | DOI | Download (ext.)
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969141Kiefer, C., et al., 2023. Discovering Exceptional Development of Commitment in Interdisciplinary Study Programs. Zeitschrift für Psychologie, 231(1), p 53-64.PUB | PDF | DOI | Download (ext.) | WoS
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2966192Kiefer, C., et al., 2022. Subgroup discovery in structural equation models. Psychological Methods.PUB | DOI | WoS | PubMed | Europe PMC
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2021 | Preprint | Veröffentlicht | PUB-ID: 2957850Kiefer, C., et al., 2021. Subgroup Discovery in Structural Equation Models. PsyArXiv.PUB | DOI | Download (ext.)
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2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2966364Mayer, A., et al., 2021. Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories. In U. Engel, et al., eds. Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods. London: Routledge, pp. 244-268.PUB | DOI
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2020 | Dissertation | Veröffentlicht | PUB-ID: 2946666Kiefer, C., 2020. Average and conditional treatment effects on count outcomes : a moment-based approach, Aachen: RWTH Aachen.PUB | DOI | Download (ext.)
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2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2946667Lemmerich, F., et al., 2020. Mining Exceptional Mediation Models. In D. Helic, et al., eds. Foundations of Intelligent Systems. 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings. Lecture Notes in Computer Science. no.12117 Cham: Springer , pp. 318-328.PUB | DOI
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