FH-Prof. Mag. Dr. Andreas Bengesser Head of Competence Center for Social Work Academic Staff andreas.bengesser@fh-campuswien.ac.at T: +43 1 606 68 77-3314 F: +43 1 606 68 77-3309 Room: S.4.04 Kelsenstraße 2 1030 WienPersonal WebspaceLectures 2021/22Social Work> Quantitative Research Methods VO Spatial and Clinical Social Work moreQuantitative Research Methods VOLector: FH-Prof. Mag. Dr. Andreas Bengesser, Mag. Georg Wernhart2SWS4ECTSLecture contentsThe 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 methodsFinal examTeaching methodsLecture, DiscussionLanguageGerman> Quantitative Research Methods VO Spatial and Clinical Social Work moreQuantitative Research Methods VOLector: FH-Prof. Mag. Dr. Andreas Bengesser2SWS4ECTSLecture contentsThe 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 methodsFinal exam Final examTeaching methodsLecture, discussionLanguageGerman> Applied Multivariant Data Analysis 2 VO Spatial and Clinical Social Work moreApplied Multivariant Data Analysis 2 VOLector: FH-Prof. Mag. Dr. Andreas Bengesser2SWS4ECTSTeaching methodsLecture, Discussion, ExerciseLanguageGerman> Masterarbeits - Erstellung 1 UE Spatial and Clinical Social Work moreMasterarbeits - Erstellung 1 UELector: FH-Prof. Mag. Dr. Andreas Bengesser, Mag.a Saskia Ehrhardt, MA2SWS4ECTSLecture contentsStudents 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 methodsContinuous assessmentTeaching methodsReflection, ExerciseLanguageGerman> Triangulative socio-spatial Research SE Spatial and Clinical Social Work moreTriangulative socio-spatial Research SELector: FH-Prof. Mag. Dr. Andreas Bengesser2SWS4ECTSLecture contentsDifferent 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 methodsFinal examTeaching methodsLecture, DiscussionLanguageGermanPublications The publications of Andreas Bengesser written at FH Campus Wien can be found in our publication database, others in the personal web space.
> Quantitative Research Methods VO Spatial and Clinical Social Work moreQuantitative Research Methods VOLector: FH-Prof. Mag. Dr. Andreas Bengesser, Mag. Georg Wernhart2SWS4ECTSLecture contentsThe 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 methodsFinal examTeaching methodsLecture, DiscussionLanguageGerman
> Quantitative Research Methods VO Spatial and Clinical Social Work moreQuantitative Research Methods VOLector: FH-Prof. Mag. Dr. Andreas Bengesser2SWS4ECTSLecture contentsThe 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 methodsFinal exam Final examTeaching methodsLecture, discussionLanguageGerman
> Applied Multivariant Data Analysis 2 VO Spatial and Clinical Social Work moreApplied Multivariant Data Analysis 2 VOLector: FH-Prof. Mag. Dr. Andreas Bengesser2SWS4ECTSTeaching methodsLecture, Discussion, ExerciseLanguageGerman
> Masterarbeits - Erstellung 1 UE Spatial and Clinical Social Work moreMasterarbeits - Erstellung 1 UELector: FH-Prof. Mag. Dr. Andreas Bengesser, Mag.a Saskia Ehrhardt, MA2SWS4ECTSLecture contentsStudents 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 methodsContinuous assessmentTeaching methodsReflection, ExerciseLanguageGerman
> Triangulative socio-spatial Research SE Spatial and Clinical Social Work moreTriangulative socio-spatial Research SELector: FH-Prof. Mag. Dr. Andreas Bengesser2SWS4ECTSLecture contentsDifferent 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 methodsFinal examTeaching methodsLecture, DiscussionLanguageGerman