Social Scientist and Data Analyst

University of Salzburg


Alexander Seymer teaches statistics and research methods at the University of Salzburg and the Paracelsus Medical University Salzburg. His research interests include the association of personal values and public opinion primarily but not exclusively in the context of welfare states, statistics with a focus on latent variable modelling and everything related to R. Besides his attention to quantitative comparative social science research, his genuine and general interest in statistics led to collaborations with scholars from other disciplines during the last years.

He received his Diploma in Sociology from the University of Leipzig and continued his studies in the International Master programme in Social Policy Analysis by Catholic University Leuven, Luxembourg and Associate Institutes. After studying seven years at universities and research institutes, he decided to apply his knowledge in the context of politics working three years in Brussels. Two of the three years, he dedicated his efforts as assistant to a Member of the European Parliament. Eager to integrate his work and academic experiences, he started his PhD at the Salzburg Centre for European Union Studies at the University of Salzburg. He is currently working at the Department of Political Science and Sociology.


  • Public Opinion
  • Personal Values
  • Welfare States
  • European Union
  • Quantitative and Comparative Social Science
  • Survey Methodology
  • Structural Equation Modeling
  • Latent Variable Modeling
  • The R Project for Statistical Computing"


  • Dr.phil. in Sociology, 2013

    University of Salzburg

  • MSc in Social Policy Analysis, 2005

    University of Leuven

  • Diploma in Sociology, 2004

    University of Leipzig


Breast-specific gamma imaging

A collaboration with radiologist Thomas Meissnitzer


Study on the living conditions of caring relatives of dementia patients

PhD Project

My PhD thesis on values and political attitudes

PUMA recruiting experiments

Evaluation of two recruiting experiments for online surveys

Full Publication List

Quickly discover relevant content by filtering publications.
(2020). Potential and Limits of Automated Classification of Big Data - A Case Study. Historical Social Research/Historische Sozialforschung.


(2019). Comparing perspectives of family caregivers and healthcare professionals regarding caregiver burden in dementia care: results of a mixed methods study in a rural setting. Age and Ageing, afz165.

PDF Project DOI

(2019). Zur sozialen Lage der Zugewanderten. Die Lebenssituation von Migrantinnen und Migranten in Österreich : Ergebnisse einer Umfrage unter Zugewanderten.


(2019). Lässt sich das Sicherheitsgefühl der Bevölkerung automatisiert erfassen?. Österreichische Zeitschrift für Soziologie, 44(1), 67–96..


(2018). Social Inequalities and the Effects of Incentives on Survey Participation: A Recruitment Experiment. Austrian Journal of Political Science, 47(2), 5–20.

PDF Code Project DOI


Teaching at University of Salzburg:

  • Introductory seminar course in statistics I (bachelor level)
  • Introductory seminar course in statistics II (bachelor level)
  • Introductory seminar coures in quantitative research methods (bachelor level)
  • Introduction to advanced statistical procedures (bachelor and master level)
  • Introductory seminar course in statistics with R (bachelor and master level)

Teaching at the Paracelsus Medical University of Salzburg:

  • Evaluation of quantitative scientific studies (bachelor level)
  • Advanced quantitative data analysis in social and health science (PhD level)



Responsible according to § 5 Abs. 1 ECG: Dr. Alexander Seymer

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