Personendetail

FH-Prof. Mag. Dr. Andreas Bengesser

Head of Competence Center for Social Work
Academic Staff


T: +43 1 606 68 77-3314
F: +43 1 606 68 77-3309

Room: S.4.04
Kelsenstraße 2
1030 Wien

Personal Webspace


Lectures 2021/22

Social Work

> Quantitative Research Methods VO
Spatial and Clinical Social Work more

Quantitative Research Methods VO

Lector: FH-Prof. Mag. Dr. Andreas Bengesser, Mag. Georg Wernhart

2SWS
4ECTS

Lecture contents

The students gain knowledge of quantitative survey methods. Initially they work on descriptive statistical methods for the presentation and processing of data, such as location and dispersion measures or contingency tables. Subsequently, the elementary methods of inferential statistics, such as correlation, significance tests, regressions and variance analyses are taught to the students. The main focus then lies on the detailed analysis of the data and their correct interpretation in terms of content. In this course the students also learn the basic steps of a common statistical data preparation and evaluation programme. For the applications, mainly empirical studies from clinical social work are used. This ensures the closest possible practical reference to Clinical Social Work. The course considers the distinction between cross-sectional vs. longitudinal data collection (individual case analysis) and examines how qualitative and quantitative data can be combined.

Assessment methods

Final exam

Teaching methods

Lecture, Discussion

Language

German

> Quantitative Research Methods VO
Spatial and Clinical Social Work more

Quantitative Research Methods VO

Lector: FH-Prof. Mag. Dr. Andreas Bengesser

2SWS
4ECTS

Lecture contents

The students gain knowledge of quantitative survey methods. Initially they work on descriptive statistical methods for the presentation and processing of data, such as location and dispersion measures or contingency tables. Subsequently, the elementary methods of inferential statistics, such as correlation, significance tests, regressions and variance analyses are taught to the students. The main focus then lies on the detailed analysis of the data and their correct interpretation in terms of content. In this course the students also learn the basic steps of a common statistical data preparation and evaluation programme. For the applications, mainly empirical studies from socio-spatial Social Work are used. This ensures the closest possible practical reference to socio-spatial Social Work.

Assessment methods

Final exam
Final exam

Teaching methods

Lecture, discussion

Language

German

> Applied Multivariant Data Analysis 2 VO
Spatial and Clinical Social Work more

Applied Multivariant Data Analysis 2 VO

Lector: FH-Prof. Mag. Dr. Andreas Bengesser

2SWS
4ECTS

Teaching methods

Lecture, Discussion, Exercise

Language

German

> Masterarbeits - Erstellung 1 UE
Spatial and Clinical Social Work more

Masterarbeits - Erstellung 1 UE

Lector: FH-Prof. Mag. Dr. Andreas Bengesser, Mag.a Saskia Ehrhardt, MA

2SWS
4ECTS

Lecture contents

Students work in peer groups on their individual Master's thesis and receive relevant and process-oriented support to advance the progress of the thesis. The focus is on the development of suitable survey instruments to carry out the scientific work. The different stages of the work are taken into account.

Assessment methods

Continuous assessment

Teaching methods

Reflection, Exercise

Language

German

> Triangulative socio-spatial Research SE
Spatial and Clinical Social Work more

Triangulative socio-spatial Research SE

Lector: FH-Prof. Mag. Dr. Andreas Bengesser

2SWS
4ECTS

Lecture contents

Different approaches to socio-spatial research are taught on the basis of various research projects and studies.
The students learn to plan practice-oriented research projects (formulation of research questions, creation of a research design).

Assessment methods

Final exam

Teaching methods

Lecture, Discussion

Language

German

Publications

The publications of Andreas Bengesser written at FH Campus Wien can be found in our publication database, others in the personal web space.