Quantitative Methods of Empirical Social Research and Social Structure Analysis

Teambild des Fachgebiets
© Joanna Fröhlich
Team des Fachgebiets Quantitative Methoden der empirischen Sozialforschung und Sozialstrukturanalyse, Universität Osnabrück

Welcome to the pages of the Research Group

The Research Group has two thematic focuses. The methods of empirical social research provide the basis for the systematic recording, evaluation and interpretation of social facts. Social structure analysis examines the structured distribution of socially relevant characteristics and the influence and change of these structures. Prof. Dr. Katrin Golsch and her team focus on these topics in both teaching and research, dealing with issues from the field of social inequality and life course research, such as the determinants and effects of social support within couple relationships and families, the work-family conflicts of working mothers and fathers or the accumulation of social inequalities in the course of employment.

 

The Lower Saxony Ministry of Science and Culture has approved funding for “Mixed Methods Forum and Workshop”

The Mixed Methods Forum and Workshop provide a setting where the application of methods and practical discussions of mixed methods research (MMR) go hand in hand. The focus is on two central aspects of survey preparation: the development of instruments and survey experiments. Unlike introductory MMR workshops for doctoral students or purely academic conferences, this event combines mentoring and consultation with a broader space for exchange and discussion for researchers at all career stages. The combination of plenary sessions, interactive poster sessions, and targeted mentoring and advisory services for doctoral students creates long-term benefits for mixed-methods research in sociology.

 

Project approved under the LehrZeit funding programme

Our goal is to enable all students to achieve successful, sustainable learning outcomes in introductory statistics that go beyond passing the exam. Students should recognise and actively experience the value of a sound statistical education for their future studies and careers. To achieve this goal, we are developing an innovative online edu-escape room that combines knowledge acquisition, practical application, and teamwork. The active involvement of students in designing the escape room is central: they select relevant research areas and help develop the tasks, thereby establishing a direct connection to their interests.

DFG-Project

The project ‘Who, why, how, and at what price? A mixed-methods study of caring for a sick child among working fathers and mothers’ is funded for three years by the German Research Foundation (DFG) and conducted under the direction of Prof. Dr. Katrin Golsch and Prof. Dr. Kai-Olaf Maiwald. The team is reinforced by postdocs Dr. Joanna Fröhlich and Dr. Ayhan Adams as well as two doctoral students.

New research project launched

We are delighted that the three-year project ‘(Non-)utilisation of sick days for children by mothers and fathers – a challenge from different perspectives’ will start at our Institute of Social Sciences in autumn 2025. Funding is provided by the ‘zukunft.niedersachsen’ funding programme of the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation.

The research project, led by Prof. Dr Golsch and Dr Ayhan Adams, plans to collect data on the use, organisation, and attitudes toward sick days for children through a standardised survey of working parents and human resources managers. The data obtained will contribute to expanding empirical evidence on the compatibility of work and family life, structures of inequality, and the signal effect of care work. Given the economic relevance of absenteeism and the increasingly important question of the balance between work and family life, it is essential to examine the prevalence, determinants, and consequences of sick days among children.

In our Research Group, we offer a variety of courses for the Bachelor's and Master's degree programs at the Institute of Social Sciences.

BA:

MA:

  • We are pleased to inform you that the new Master's program "Sociological Diagnosis of the Present Time" is expected to start in the winter semester 2025/26. You will soon find detailed information on teaching here.

In addition, we offer comprehensive  advice, support and guidance in the preparation of theses.

In our  research café , we help you to plan and carry out empirical studies and are on hand with advice and support.

Professorship

Prof. Dr. Katrin Golsch

School of Cultural Studies and Social Sciences

Seminarstraße 20
49074 Osnabrück

Room:
15/302
Office hours:
Bitte tragen Sie sich im Stud.Ip für einen freien Termin ein.

 +541 969 4207

 katrin.golsch@uni-osnabrueck.de

Research assistants

Dr. Ayhan Adams

Social Sciences

Seminarstr. 20

Room:
15/303

 +49 541 969-4728

 ayhan.adams@uni-osnabrueck.de

 Personal webite of Dr. Ayhan Adams

Romy Kemper, M.A.

Foto Romy Kemper, M.A.
Sozialwissenschaften

Seminarstraße 20
49074 Osnabrück

Raum: 15/411

Tel:  +49 541 969-4074

 romy.kemper@uni-osnabrueck.de

Dr. Joanna Fröhlich

School of Cultural Studies and Social Sciences

Seminarstraße 20
49074 Osnabrück

Room:
15/303
Office hours:
Nach Vereinbarung

 +49 541 969-4802

 Personal webite of Dr. Joanna Fröhlich

Anna Lotte Klennert, M. Sc.

Foto Anna Lotte Klennert, M. Sc.
Sozialwissenschaften

Seminarstr. 20
49074 Osnabrück

Raum: 15/411

Tel:  +49 541 969-4046

 annalotte.klennert@uni-osnabrueck.de

Dr. Anne Busch

Fachbereich 1: Kultur- und Sozialwissenschaften

Seminarstraße 20
49074 Osnabrück

 anne.busch@uni-osnabrueck.de

Details

Dr. Kerstin Ruckdeschel

Fachbereich 1: Kultur- und Sozialwissenschaften

Seminarstraße 20
49074 Osnabrück

 kerstin.ruckdeschel@uni-osnabrueck.de

Details

Secretariat

Elke Herms

School of Cultural Studies and Social Sciences

Seminarstraße 20
49074 Osnabrück

Room:
15/304
Office hours:
Mo-Do 9-12 Uhr

 +49 541 969-4609

 elke.herms@uni-osnabrueck.de

Auxiliary staff

Marei Beckermann (student assistant)

Gesa Delventhal (student assistant)

Pascal Sachs (student assistant)

Nils-Peter Stonjek (student assistant)

Konstantinos Michaelis (student assistant)

Jakob Willnow (student assistant)

 

Merle Baller (tutor)

Luca Berger (tutor)

Sebastian Heidemann (tutor)

Nikolas Ising (tutor)

Maximilian Kahle (tutor)

Manolya Rafizadeh (tutor)