Anna-Carolina Haensch

Anna-Carolina Haensch M. Sc.

Survey Design and Methodology
GESIS Panel

L13 9
68159 Mannheim

+49 (0621) 1246 - 553
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Vita

Anna-Carolina Haensch received a Bachelor Degree in Political Science and Sociology from the University of Munich (LMU) and a Master in Survey Statistics at the Otto-Friedrich-University Bamberg with a focus on missing data and Multiple Imputation. During her studies, she worked as a student assistant and tutor at the Chair of Empirical Political Research and Policy Analysis at the LMU Munich, as well as a student assistant at the Leibniz-Institute for Educational Trajectories (LIfBi e.V.) in Bamberg. She wrote her Master thesis at the Institute for Employment Research (Statistical Methods Centre, Head of Department: Frauke Kreuter).  

Since October 2017, Anna-Carolina Haensch is a researcher at the GESIS Institute, where she works on the DFG funded project “HaSpaD - Harmonizing and synthesizing partnership histories from different research data infrastructures. A model project for linking research data from various infrastructures”. She also enjoys teaching courses on quantitative research methods at the University of Mannheim.

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Forschung

I am primarily interested in missing data, Multiple Imputation and Nonresponse Bias as well as Sensitivity Analysis. At the moment, I am working on different approaches for imputing covariates for time-discrete survival models. Through the HaSpaD Project, I have written a paper on the combination of IPD Meta-Analysis and Survey Weights.  I am also very interested in analyzing Big Data in the Social Sciences.   


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Veröffentlichungen

Publikation

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Zeitschriftenaufsatz

Kreitzscheck, Mathis, and Anna-Carolina Haensch. 2019. "Klopfet an, so wird euch aufgetan?: Teilnahmeverweigerung und Nonresponse Bias in der fünften Kirchenmitgliedschaftsuntersuchung." Praktische Theologie 54 (1): 43-51. https://doi.org/10.14315/prth-2019-540110.

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Sonstiger Artikel

Haensch, Anna-Carolina. 2016. "Armutsgefährdung in Berlin und Brandenburg 2014: Eine Analyse nach Lebensformen und Risikolagen." In Zeitschrift für amtliche Statistik Berlin Brandenburg, 10 1, 36-41. https://www.statistik-berlin-brandenburg.de/produkte/zeitschrift/2016/HZ_201601.pdf.

Haensch, Anna-Carolina. 2014. "Die Effekte von Koalitionspräferenzen und -erwartungen auf Wahlentscheidungen in Verhätniswahlsystemen: Bachelorarbeit." Münchener Beiträge zur Politikwissenschaft. https://epub.ub.uni-muenchen.de/21845/.

Vortrag

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Konferenzbeitrag

Haensch, Anna-Carolina, and Bernd Weiß. 2018. "Meta-Analysis of Survey-Based, Non-Experimental Individual Person Data with Heterogeneous Weighting Schemes." 2018 Joint Statistical Meeting, 28.07.2018. https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=328369.

Sterl, Sebastian, Sonja Schulz, Anna-Carolina Haensch, and Bernd Weiß. 2018. "The Whole is More than the Sum of its Parts: Studying Relationship Stability and Social Change by Pooling and Harmonizing Research Data from Various Infrastructures." 6th International pairfam Conference Innovations in Panel Data Methods Munich, June 28-29, 2018 , 29.06.2018.

Lehre

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Seminar

Haensch, Anna-Carolina. 2019. "Empirisches Forschungspraktikum I: Big Data in the Social Sciences." Universität Mannheim. FSS 2019: 2 SWS.

Haensch, Anna-Carolina. 2019. "Empirisches Forschungspraktikum II: Big Data in the Social Sciences: Datenanalyse." HWS 2019: 2 SWS.

Haensch, Anna-Carolina. 2018. "Empirisches Forschungspraktikum I: Big Data in the Social Sciences: Datenerhebung." Universität Mannheim. FSS 2018: 2 SWS.

Haensch, Anna-Carolina. 2018. "Empirisches Forschungspraktikum II: Big Data in the Social Sciences: Datenanalyse." Universität Mannheim. HWS 2018: 2 SWS.

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Übung

Haensch, Anna-Carolina. 2017. "Tutorien Methoden der Politikwissenschaft." LMU München. SS 2017: 4x2 SWS.

Haensch, Anna-Carolina. 2017. "Übung Datenerhebung." Universität Mannheim. HWS 2017: 2 SWS.

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Sonstiges

Weiß, Bernd, Jessica Wengrzik, and Anna-Carolina Haensch. 2018. "Meta-Analysis in Social Research and Survey Methodology." GESIS Summer School in Survey Methodology.