Dealing with various flavors of missing data in ex-post survey harmonization and beyond

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URL:	https://madoc.bib.uni-mannheim.de/59940
URN:	urn:nbn:de:bsz:180-madoc-599404
Dokumenttyp:	Dissertation
Erscheinungsjahr:	2021
Ort der Veröffentlichung:	Mannheim
Hochschule:	Universität Mannheim
Gutachter:	Keusch, Florian
Datum der mündl. Prüfung:	15 Juni 2021
Sprache der Veröffentlichung:	Englisch
Einrichtung:	Fakultät für Sozialwissenschaften > Statistik u. Sozialwiss. Methodenlehre (Juniorprofessur) (Keusch 2016-2021) Fakultät für Sozialwissenschaften > Statistik u. Sozialwissenschaftliche Methodenlehre (Kreuter 2014-2020)
Lizenz:	Creative Commons Namensnennung 4.0 International (CC BY 4.0)
Fachgebiet:	300 Sozialwissenschaften, Soziologie, Anthropologie
Freie Schlagwörter (Englisch):	multiple imputation , missing data , survey harmonization , survey data , sensitivity analysis
Abstract:	This dissertation overcomes several missing data problems in ex-post survey harmonization. Although ex-post survey harmonization projects have become more common in the social sciences in recent years, methodological research on this topic is still relatively rare. The dissertation's main body consists of four chapters, each of which presents a study exploring solutions for missing data problems not only in ex-post survey harmonization but also in related research fields. The study presented in Chapter 2 deals with multiple imputation approaches for discrete-time survival analysis. Chapter 3 presents a study examining multiple imputation approaches to handling systematically missing partner variables. The study presented in Chapter 4 is on the topic of sensitivity analysis in the case of unobserved confounders. And finally, the study in Chapter 5 is on the topic of weighting pooled survey data. The last chapter concludes the dissertation with a discussion of the results, scientific contributions, and limitations of the aforementioned studies, plus a broader outlook on the issue of study heterogeneity.