Dr. Christoph Kiefer
Aktuelle Forschungsthemen
Research interests focus on:
- Causal and Statistical Inference in Generalized Linear and Additive Models
- Estimation of Generalized Linear Models with Latent Covariates and Their Interactions
- Subgroup Discovery Techniques in Structural Equation Modeling
- Longitudinal Models for Higher Education Research
Christoph Kiefer studied psychology and mathematics at the FernUniversität Hagen and TU Braunschweig. After finishing his master degree in psychology (2016), he pursued his doctoral studies at the unit of Psychological Methods at the RWTH Aachen. In 2020, he received his Ph.D. at the RWTH Aachen for a dissertation on causal and statistical inference on count outcomes. Since then, he is a postdoctoral researchers at Bielefeld University.
- Kiefer C, Woud ML, Blackwell SE, Mayer A. Average Treatment Effects on Binary Outcomes with Stochastic Covariates. PsyArXiv. 2023.
- Kiefer C, Lugauer B, Mayer A. Definition and Identification of Causal Ratio Effects. 2023.
- Kiefer C, Claus AM, Jung AJ, Wiese BS, Mayer A. Discovering Exceptional Development of Commitment in Interdisciplinary Study Programs. Zeitschrift für Psychologie. 2023;231(1):53-64.
- Kiefer C, Wilker S, Mayer A. Interactions Between Latent Variables in Count Regression Models. PsyArXiv. 2023.
- Claus AM, Lampel G, Kiefer C, Mayer A, Wiese BS. Interdisciplinary, Multidisciplinary, and Monodisciplinary Study Programs in Germany: A classification scheme. NEPS Survey Paper. Vol 103. LIfBi Leibniz Institute for Educational Trajectories; 2023.
- Kiefer C, Lemmerich F, Langenberg B, Mayer A. Subgroup discovery in structural equation models. Psychological Methods. 2022.
- Kiefer C, Lemmerich F, Langenberg B, Mayer A. Subgroup Discovery in Structural Equation Models. PsyArXiv. 2021.
- Kiefer C, Mayer A. Treatment effects on count outcomes with non‐normal covariates. British Journal of Mathematical and Statistical Psychology. 2021;74(3): bmsp.12237.
- Mayer 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 SX, Lyberg L, eds. Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods. London: Routledge; 2021: 244-268.
- Kiefer C, Mayer A. Accounting for Latent Covariates in Average Effects from Count Regressions. Multivariate Behavioral Research. 2020:1-16.
- Kiefer C. Average and conditional treatment effects on count outcomes : a moment-based approach. Aachen: RWTH Aachen; 2020.
- Claus AM, Arend MG, Burk CL, Kiefer C, Wiese BS. Cross-classified models in I/O psychology. Journal of Vocational Behavior. 2020;120: 103447.
- Lemmerich F, Kiefer C, Langenberg B, Cacho Aboukhalil J, Mayer A. Mining Exceptional Mediation Models. In: Helic D, Leitner G, Stettinger M, Felfernig A, Raś ZW, eds. Foundations of Intelligent Systems. 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings. Lecture Notes in Computer Science. Vol 12117. Cham: Springer ; 2020: 318-328.
- Kiefer C, Mayer A. Average Effects Based on Regressions with a Logarithmic Link Function: A New Approach with Stochastic Covariates. Psychometrika. 2019;84(2):422-446.
- Kiefer C, Rosseel Y, Wiese BS, Mayer A. Modeling and predicting non-linear changes in educational trajectories: The multilevel latent growth components approach. Psychological Test and Assessment Modeling. 2018;60(2):189–22.
- Kiefer C, Benit N. What is Applicant Faking Behavior? A Review on the Current State of Theory and Modeling Techniques. Journal of European Psychology Students. 2016;7(1):9-19.
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Christoph Kiefer studied psychology and mathematics at the FernUniversität Hagen and TU Braunschweig. After finishing his master degree in psychology (2016), he pursued his doctoral studies at the unit of Psychological Methods at the RWTH Aachen. In 2020, he received his Ph.D. at the RWTH Aachen for a dissertation on causal and statistical inference on count outcomes. Since then, he is a postdoctoral researchers at Bielefeld University.
- Kiefer C, Woud ML, Blackwell SE, Mayer A. Average Treatment Effects on Binary Outcomes with Stochastic Covariates. PsyArXiv. 2023.
- Kiefer C, Lugauer B, Mayer A. Definition and Identification of Causal Ratio Effects. 2023.
- Kiefer C, Claus AM, Jung AJ, Wiese BS, Mayer A. Discovering Exceptional Development of Commitment in Interdisciplinary Study Programs. Zeitschrift für Psychologie. 2023;231(1):53-64.
- Kiefer C, Wilker S, Mayer A. Interactions Between Latent Variables in Count Regression Models. PsyArXiv. 2023.
- Claus AM, Lampel G, Kiefer C, Mayer A, Wiese BS. Interdisciplinary, Multidisciplinary, and Monodisciplinary Study Programs in Germany: A classification scheme. NEPS Survey Paper. Vol 103. LIfBi Leibniz Institute for Educational Trajectories; 2023.
- Kiefer C, Lemmerich F, Langenberg B, Mayer A. Subgroup discovery in structural equation models. Psychological Methods. 2022.
- Kiefer C, Lemmerich F, Langenberg B, Mayer A. Subgroup Discovery in Structural Equation Models. PsyArXiv. 2021.
- Kiefer C, Mayer A. Treatment effects on count outcomes with non‐normal covariates. British Journal of Mathematical and Statistical Psychology. 2021;74(3): bmsp.12237.
- Mayer 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 SX, Lyberg L, eds. Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods. London: Routledge; 2021: 244-268.
- Kiefer C, Mayer A. Accounting for Latent Covariates in Average Effects from Count Regressions. Multivariate Behavioral Research. 2020:1-16.
- Kiefer C. Average and conditional treatment effects on count outcomes : a moment-based approach. Aachen: RWTH Aachen; 2020.
- Claus AM, Arend MG, Burk CL, Kiefer C, Wiese BS. Cross-classified models in I/O psychology. Journal of Vocational Behavior. 2020;120: 103447.
- Lemmerich F, Kiefer C, Langenberg B, Cacho Aboukhalil J, Mayer A. Mining Exceptional Mediation Models. In: Helic D, Leitner G, Stettinger M, Felfernig A, Raś ZW, eds. Foundations of Intelligent Systems. 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings. Lecture Notes in Computer Science. Vol 12117. Cham: Springer ; 2020: 318-328.
- Kiefer C, Mayer A. Average Effects Based on Regressions with a Logarithmic Link Function: A New Approach with Stochastic Covariates. Psychometrika. 2019;84(2):422-446.
- Kiefer C, Rosseel Y, Wiese BS, Mayer A. Modeling and predicting non-linear changes in educational trajectories: The multilevel latent growth components approach. Psychological Test and Assessment Modeling. 2018;60(2):189–22.
- Kiefer C, Benit N. What is Applicant Faking Behavior? A Review on the Current State of Theory and Modeling Techniques. Journal of European Psychology Students. 2016;7(1):9-19.
Publikationsliste
Publikationsliste (CSV)
Publikationsliste (PDF) im "AMA"-Zitierstil
Publikationsliste (PDF) im "APA (6th ed.)"-Zitierstil
Publikationsliste (PDF) im "Chicago"-Zitierstil
Publikationsliste (PDF) im "Frontiers"-Zitierstil
Publikationsliste (PDF) im "Harvard"-Zitierstil
Publikationsliste (PDF) im "IEEE"-Zitierstil
Publikationsliste (PDF) im "LNCS"-Zitierstil
Publikationsliste (PDF) im "MLA"-Zitierstil
Download
RDF/XML-Format
JSON-LD-Format
Turtle-Format
N3-Format