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Prof. Dr. habil. Christian Aßmann

Research Data Center, Methods Development | Head of Department

Vita

Research interests

Development of Statistical methods

Bayesian Methods for Analysis of Data with Missing Values

Publications

2023

Aßmann, C., Boysen-Hogrefe, J., & Pape, M. (2023). Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions. AStA Advances in Statistical Analysis. Advance online publication. https://doi.org/10.1007/s10182-023-00489-5

2022

Aßmann, C., Gaasch, J.-C., & Stingl, D. (2022). A Bayesian approach towards missing covariate data in multilevel latent regression models. Psychometrika. Advance online publication. https://doi.org/10.1007/s11336-022-09888-0

Aßmann, C., Landrock, U., & Würbach, A. (2022). Ein Blick aus vielen Perspektiven: Was längsschnittliche Studien wie das Nationale Bildungspanel (NEPS) bei der Analyse von Übergängen leisten. SchulVerwaltung spezial, (5), 202 - 205.

2021

Aßmann, C., Boysen-Hogrefe, J., & Pape, M. (2021). Bayesian analysis of reduced rank regression models using post-processing. SFB 823 Discussion Paper 13. TU Dortmund University. https://doi.org/10.17877/DE290R-22158

Hermanussen, M., Aßmann, C., & Groth, D. (2021). Chain reversion for detecting associations in interacting variables - St. Nicolas house analysis. International Journal of Environmental Research and Public Health, 18(4), Article 1741. https://doi.org/10.3390/ijerph18041741

2020

Aßmann, C. (2020). Bayesian estimation of latent factor models.

Sixt, M., & Aßmann, C. (2020). The influence of regional school infrastructure and labor market conditions on the transition process to secondary schooling in Germany. Journal of Educational Research Online, 12(2), 36-66. https://www.waxmann.com/ausgabeAUG100388

2019

Henning, C., Aßmann, C., Hedtrich, J., Ehrenfels, J., & Krampe, E. (2019). What drives participatory policy processes: Grassroot activities, scientific knowledge or donor money? A comparative policy network approach. Social Networks, 58, 78-104. https://doi.org/10.1016/j.socnet.2019.03.001

2018

Aßmann, C., Krampe, E., & Henning, C. (2018). The formation of elite communication networks in Malawi: A Bayesian econometric approach. In C. Henning, O. Badiane, & E. Krampe (Hrsg.), Development policies and policy processes in Africa: Modeling and evaluation (S. 213–232). Springer Open. https://doi.org/10.1007/978-3-319-60714-6_9

Mumm, R., & Aßmann, C. (2018). Community-based clustering of height in Ethiopia, India, Peru, and Vietnam. American Journal of Physical Anthropology, 167, 272–281. https://doi.org/10.1002/ajpa.23623

Steinhauer, H. W., & Aßmann, C. (2018). Modelling nonresponse in educational multi-informant studies: A multilevel approach using bivariate probit models. LIfBi Working Paper 74. Leibniz Institute for Educational Trajectories. https://www.lifbi.de/Portals/2/Working%20Papers/WP_LXXIV.pdf

2017

Aßmann, C., Würbach, A., Goßmann, S., Geißler, F., & Bela, A. (2017). Nonparametric multiple imputation for questionnaires with individual skip patterns and constraints: The case of income imputation in the National Educational Panel Study. Sociological Methods & Research, 46(4), 864-897. https://doi.org/10.1177/0049124115610346

Kärner, T., Sembill, D., Aßmann, C., Friederichs, E., & Carstensen, C. H. (2017). Analysis of person-situation interactions in educational settings via cross-classified multilevel longitudinal modelling: Illustrated with the example of students’ stress experience. Frontline Learning Research, 5(1), 16-42. https://doi.org/10.14786/flr.v5i1.137

Zinn, S., Steinhauer, H. W., & Aßmann, C. (2017). Samples, weights, and nonresponse: The student sample of the National Educational Panel Study (wave 1 to 8). NEPS Survey Paper 18. Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP18:1.0

2016

Aßmann, C. (2016). Multiple imputation as one tool to provide longitudinal databases for modelling human height and weight development. European Journal of Clinical Nutrition, 70(6), 653-655. https://doi.org/10.1038/ejcn.2016.22

Aßmann, C., Boysen-Hogrefe, J., & Pape, M. (2016). Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem. Journal of Econometrics, 192(1), 190-206. https://doi.org/10.1016/j.jeconom.2015.10.010

Aßmann, C., Gaasch, C., Pohl, S., & Carstensen, C. H. (2016). Estimation of plausible values considering partially missing background information: A data augmented MCMC approach. In H.-P. Blossfeld, J. von Maurice, M. Bayer, & J. Skopek (Eds.), Methodological Issues of Longitudinal Surveys: The Example of the National Educational Panel Study (pp. 503–521). Springer VS. https://doi.org/10.1007/978-3-658-11994-2_28

Hammon, A., Zinn, S., Aßmann, C., & Würbach, A. (2016). Samples, weights and nonresponse: The Adult Cohort of the National Educational Panel Study (Wave 2 to 6). NEPS Survey Paper 7. Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP07:1.0

Hermanussen, M., Aßmann, C., Staub, K., & Groth, D. (2016). Monte Carlo simulation of body height in a spatial network. European Journal of Clinical Nutrition, 70(6), 671–678. https://doi.org/10.1038/ejcn.2016.71

Hermanussen, M., Stec, K., Aßmann, C., Meigen, C., & van Buuren, S. (2016). Synthetic growth reference charts. American Journal of Human Biology, 28(1), 98-111. https://doi.org/10.1002/ajhb.22759

Ipsen, J., Nowak-Szczepanska, N., Gomula, A., Aßmann, C., & Hermanussen, M. (2016). The association of body height, height variability and inequality. Anthropologischer Anzeiger, 73(1), 1-6. https://doi.org/10.1127/anthranz/2015/0623

Preising, M., Suchomlinov, A., Tutkuviene, J., & Aßmann, C. (2016). Modelling human height and weight: A Bayesian approach towards model comparison. European Journal of Clinical Nutrition, 70(6), 656-661. https://doi.org/10.1038/ejcn.2016.23

Steinhauer, H. W., Zinn, S., & Aßmann, C. (2016). Weighting panel cohorts in institutional contexts. In H.-P. Blossfeld, J. von Maurice, M. Bayer, & J. Skopek (Hrsg.), Methodological issues of longitudinal surveys: The example of the National Educational Panel Study (S. 39-62). Springer VS. https://doi.org/10.1007/978-3-658-11994-2_3

Suchomlinov, A., Cerskus, G., Kolosov, A., Rakita, I., Aßmann, C., Jakimaviciene, E., & Tutkuviene, J. (2016). Increasing prevalence of overweight and obesity among children in Vilnius, Lithuania: Comparison of two longitudinal data sets of children born in 1990 and 1996. Anthropologischer Anzeiger, 73(3), 177-185. https://doi.org/10.1127/anthranz/2016/0634

Würbach, A., Zinn, S., & Aßmann, C. (2016). Samples, weights and nonresponse: The early childhood cohort of the National Educational Panel Study (Wave 1 to 3). NEPS Survey Paper 8. Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP08:1.0

2015

Aßmann, C., Gaasch, C., Pohl, S., & Carstensen, C. H. (2015). Bayesian estimation in IRT models with missing values in background variables. Psychological Test and Assessment Modeling, 57(4), 595-618. http://www.psychologie-aktuell.com/fileadmin/download/ptam/4-2015_20151218/08_Assmann.pdf

Aßmann, C., Zinn, S., & Würbach, A. (2015). Sampling and weighting the sample of the early childhood cohort of the National Educational Panel Study (Waves 1 and 2): Technical Report on SUF SC1 Version 2-0-0. https://www.neps-data.de/Portals/0/NEPS/Datenzentrum/Forschungsdaten/SC1/2-0-0/SC1-2-0-0_Weighting.pdf

Bahrami, S., Aßmann, C., Meinfelder, F., & Rässler, S. (2015). A split questionnaire survey design for data with block structure correlation matrix. In U. Engel, B. Jann, P. Lynn, A. Scherpenzeel, & P. Sturgis (Hrsg.), Improving survey methods: Lessons from recent research (S. 368–380). Routledge.

Bogin, B., Hermanussen, M., Blum, W., & Aßmann, C. (2015). Sex, sport, IGF-1 and the community effect in height hypothesis. International Journal of Environmental Research and Public Health, 12(5), 4816–4832. https://doi.org/10.3390/ijerph120504816

Hermanussen, M., Scheffler, C., Groth, D., & Aßmann, C. (2015). Height and skeletal morphology in relation to modern life style. Journal of Physiological Anthropology, 34(41), 1-5. https://doi.org/10.1186/s40101-015-0080-4

Steinhauer, H. W., Aßmann, C., Zinn, S., Goßmann, S., & Rässler, S. (2015). Sampling and weighting cohort samples in institutional contexts: The National Educational Panel Study cohort samples of Kindergarten children, students in Grade 5 and in Grade 9. AStA Wirtschafts- und Sozialstatistisches Archiv, 9(2), 131–157. https://doi.org/10.1007/s11943-015-0162-0

Zinn, S., Aßmann, C., & Würbach, A. (2015). Sampling and weighting the sample of the adult cohort of the National Educational Panel Study (wave 2 to 5): Technical Report on SUF SC6 Version 5.0.0. NEPS Research Data Paper. Leibniz Institute for Educational Trajectories. https://www.neps-data.de/Portals/0/NEPS/Datenzentrum/Forschungsdaten/SC6/5-0-0/SC6_W_5-0-0_en.pdf

2014

Aßmann, C., Carstensen, C. H., Gaasch, C., & Pohl, S. (2014). Estimation of plausible values using background variables with missing values: A data augmented MCMC approach. NEPS Working Paper 38. Leibniz Institute for Educational Trajectories. https://doi.org/10.5157/NEPS:WP38:1.0

Aßmann, C., Goßmann, S., & Schönberger, B. (2014). Bayesian analysis of binary panel probit models: The case of measurement error and missing values in explaining factors. NEPS Working Paper 35. Leibniz Institute for Educational Trajectories. https://www.lifbi.de/Portals/2/Working%20Papers/WP_XXXV.pdf

Aßmann, C., Würbach, A., Goßmann, S., Geißler, F., & Biedermann, A. (2014). A nonparametic multiple imputation approach for multilevel filtered questionnaires. NEPS Working Paper 36. Leibniz Institute for Educational Trajectories. https://www.lifbi.de/Portals/2/Working%20Papers/WP_XXXVI.pdf

Hermanussen, M., Alt, C., Staub, K., Aßmann, C., & Groth, D. (2014). The impact of physical connectedness on body height in Swiss conscripts. Journal of Biological and Clinical Anthropology, 71(4), 313–327. https://doi.org/10.1127/0003-5548/2014/0466

Hermanussen, M., Aßmann, C., Groth, D., & Staub, K. (2014). Final height, target height and the community. Georgian Medical News, 5(230), 30–34.

Hermanussen, M., Meitinger, T., Veldhuis, J. D., Low, M., Pfäffle, R., Staub, K., Panczak, R., Groth, D., Brabec, M., Salisch, M. v., Loh, C.-P. A., Tassenaar, V., Scheffler, C., Mumm, R., Godina, E., Lehmann, A., Tutkuviene, J., Gervickaite, S., Nierop, A. F., . . . Bogin, B. (2014). Adolescent growth: Genes, hormones and the peer group. Proceedings of the 20th Aschauer Soiree, held at Glücksburg castle, Germany, 15th to 17th November 2013. Pediatric endocrinology reviews, 11(3), 341–353. http://www.stefvanbuuren.nl/publications/2014%20Adolescent%20growth%20-%20Pediatr%20Endocrinol%20Rev.pdf

2013

Aßmann, C., Steinhauer, H. W., Zinn, S., & Goßmann, S. (2013). Sampling and weighting the kindergarten cohort sample of the National Educational Panel Study. NEPS Working Paper 29. University of Bamberg. https://doi.org/10.5157/NEPS:WP29:1.0

Bäumer, T., Aßmann, C., von Maurice, J., & Blossfeld, H.-P. (2013). Möglichkeiten der Analyse von Kontexteffekten im Rahmen des Nationalen Bildungspanels. In R. Becker, & A. Schulze (Hrsg.), Bildungskontexte: Strukturelle Voraussetzungen und Ursachen ungleicher Bildungschancen (S. 61–83). Springer VS. https://doi.org/10.1007/978-3-531-18985-7_3

2012

Aßmann, C., Steinhauer, H. W., & Rässler, S. (2012). Aspekte der Stichprobenziehung in der erziehungswissenschaftlichen Forschung. In S. Maschke, & L. Stecher (Hrsg.), Enzyklopädie der Erziehungswissenschaften Online: Methoden der empirischen erziehungswissenschaftlichen Forschung (S. 1-15). Beltz Juventa. https://doi.org/10.3262/EEO07120215

2011

Aßmann, C., Steinhauer, H. W., Kiesl, H., Koch, S., Schönberger, B., Müller-Kuller, A., Rohwer, G., Rässler, S., & Blossfeld, H.-P. (2011). Sampling designs of the National Educational Panel Study: Challenges and solutions. In H.-P. Blossfeld, H.-G. Roßbach, & J. von Maurice (Hrsg.), Education as a lifelong process: The German National Educational Panel Study (NEPS) (14, S. 51–65). Springer VS. https://doi.org/10.1007/s11618-011-0181-8

2009

Aßmann, C. (2009). An empirical analysis of current account data.

Selected presentations and lectures

2023

Aßmann, C. (2023, April 3 - 5). Bayesian confirmatory factor analysis with missing values [Paper presentation]. RES and SES Annual Conference, Glasgow, Scotland. https://res.org.uk/events/res-and-ses-annual-conference-2023/

2022

Aßmann, C. (2022, September 6). NEPS – A multicohort sequence design study surveying educational trajectories in Germany [Poster presentation]. Exchange with intifar chowdhury, Bamberg, Germany.

Aßmann, C. (2022, September 7). A Bayesian approach towards missing covariate data in multilevel latent regression models [Poster presentation]. Exchange with intifar chowdhury, Bamberg, Germany.

Aßmann, C., Gaasch, C., & Stingl, D. (2022, September 6 - 8). Combining bayesian estimation and machine learning methods for handling missing values and model selection in complex sampling designs [Paper presentation]. Workshop Quality Aspects of Machine Learning - Official Statistics between Methodical Actuality and Special Quality Commitment, Munich, Germany.

Ziesmer, J., Aßmann, C., & Henning, C. H. (2022, October 5 - 7). Key Sectors of sustainable development: A Bayesian framework estimating policy-impacts in a general equilibrium [Paper presentation]. European Network of Early Career Agricultural Economists (AgEconMeet), Göttingen, Deutschland.

2021

Landrock, U., & Aßmann, C. (2021, July 23). Using additional information at regional level to recruit less educated survey participants [Paper presentation]. ESRA 2021 - European Survey Research Association, Geneva, Switzerland.

Landrock, U., & Aßmann, C. (2021, September 10). Using address data enriched with additional information at regional level to identify less educated respondents before data collection [Paper presentation]. International Conference on Social Science Methodology, Nicosia, Cyprus.

2020

Aßmann, C. (4. Januar 2020). Bayesian estimation of linear dynamic and nonlinear panel models with missing values [Vortrag]. Research Seminar of the Institute of Econometrics and Statistics University of Cologne, Cologne, Germany.

Landrock, U., & Aßmann, C. (2020, July 1 - 2). The problem of recruiting educationally disadvantaged participants for panel studies (abgesagt) : Can address data enriched with additional information help to identify less educated respondents? [Paper presentation]. 6th Panel Survey Methods Workshop, Lausanne, Switzerland. https://panelsurveymethods.wordpress.com/

2019

Artelt, C., von Maurice, J., & Aßmann, C. (1. Juni 2019). Besuch vom Generalsekretär der KMK am LIfBi [Vortrag]. Vortrag im Rahmen des Besuchs vom Generalsekretär der KMK am LIfBi, Bamberg, Deutschland.

Aßmann, C. (1. Juli 2019). Bayesian analysis of latent factor models [Vortrag]. Habilitationsvortrag at University of Bamberg, Bamberg, Germany.

von Maurice, J., & Aßmann, C. (1. November 2019). Nutzung der Daten der amtlichen Schulstatistik im Rahmen der NEPS-Kohortensukzession [Vortrag]. Vortrag im Rahmen der 93. Amtschefskommission "Qualitätssicherung in Schulen" der Ständigen Konferenz der Kultusminister der Länder in der Bundesrepublik Deutschland, Berlin, Deutschland.

2018

Aßmann, C. (1. Juni 2018). Bayesian analysis for reduced rank regression models using post-processing [Posterpräsentation]. Poster presented at the ISBA World Meeting 2018, Edinburgh, Scotland.

Aßmann, C. (1. Mai 2018). Data analysis with missing values [Vortrag]. Paper presented at the CIDER Workshop, Bamberg, Germany.

Aßmann, C. (1. Mai 2018). Sampling Frame, Gewichtung und Datenschutz [Vortrag]. Vortrag im Rahmen der Machbarkeitsstudie "Perspektiven repräsentativer Trendanalysen der Studierendenforschung", Hannover, Deutschland.

Sixt, M., & Aßmann, C. (1. Februar 2018). Die Rolle der regionalen Infrastruktur in Bezug auf Stadt-Land Disparitäten beim Gymnasialbesuch [Vortrag]. Vortrag im Rahmen der 6. Jahrestagung der Gesellschaft für Empirische Bildungsforschung (GEBF), Basel, Schweiz.

2014

Aßmann, C. (2014, March 20). Bayesian analysis of (dynamic) factor models: An ex-post approach towards the rotation problem [Paper presentation]. Paper presented at the 5th workshop on "Analysis of Incomplete Data", Bamberg, de.

Bahrami, S., Aßmann, C., Meinfelder, F., & Rässler, S. (2014, January 13). A split questionnaire design based on NEPS data with block structure correlation [Paper presentation]. Paper presented at the 8th workshop on "Panel Surveys in Germany", Bielefeld, de.

Steinhauer, H. W., & Aßmann, C. (2014, May 21). Modelling unit nonresponse in educational multi-informant surveys - A multilevel approach using bivariate probit models [Poster presentation]. Poster presented at the workshop on "Panel Survey Methodology" of the Institute for Social Research, Ann Arbor, usa.

2012

Koch, S., Aßmann, C., & Schönberger, B. (2012, October 29 - 31). Controlling for bias concerning the participation status for the NEPS study within the school context using CART [Poster presentation]. Poster presented at the international conference of the European Child Cohort Network and Society for Longitudinal and Life Course Studies, Paris, fr.

2011

Aßmann, C. (2011, January 24 - 26). Sampling field procedures and cohort maintenance in the Birth Cohorts [Paper presentation]. Paper presented at the workshop on "Early Childhood Educational Measures - Methods of Data Collection and Instruments in the Millenium Cohort Study, Etude Longitudinale Francaise depuis l´Enfance and the National Educational Panel Study" of the European Child Cohort Network, Bamberg, de.

2010

Aßmann, C. (2010, July 23). Data augmentation for missing values in social networks models [Paper presentation]. Paper presented at the IV European Congress of Methodology - 27th Biennial Conference of the Society for Multivariate Analysis in the Behavioral Sciences, Potsdam, de.