Details

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

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

Lecture contents

The focus is on different regression analysis methods such as linear and logistic regression as well as trend analyses.
Based on the respective possible questions that can be dealt with by using different methods, the students are taught through practical examples about the data requirements, the necessary calculation procedures, the application to social science data by means of a statistical software package and the interpretation of the results.
The students try out regression-analytical procedures with statistical software using exercise data. In this way, the students are introduced to multivariate correlation analyses with cross-sectional data.
Furthermore, they learn to analyse longitudinal data by means of trend analyses and are thus introduced to quantitative individual case analysis. This prepares students to evaluate Clinical Social Work practice as well as to independently implement their own research projects within their Master's thesis.
The examples shown in the course are used to practice and to work out how a mixed methods approach could be carried out.

Assessment methods

Final exam

Teaching methods

Lecture, Discussion, Exercice

Language

German

Lecture contents

The focus is on procedures for reducing many observations to a few groups (cluster analyses) and on procedures for reducing many variables to a few latent constructs (factor analysis). These procedures complete the analysis methods for cross-sectional data.
The data basis is a variety of data sets that are freely available for scientific purposes. The application of the analysis methods is carried out in an application-oriented manner by means of a statistical software package.
The interpretation of the results is explained using practical examples. This prepares students to describe social spaces with quantitative data as well as to independently implement their own research projects within their Master's thesis.

Assessment methods

Final exam

Teaching methods

Lecture, Discussion

Language

German

Teaching methods

Lecture, Discussion, Exercise

Language

German

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

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

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

Reflexion, Exercise

Language

German

Lecture contents

The course accompanies the students in the process of writing the Master's thesis.
The current status of the master's thesis is presented, important methodological questions are clarified and the "defence of the master's thesis" is discussed.
In addition, the students receive feedback on the design, survey and evaluation methodology (arranging, presenting, analysing and interpreting the data material). The preparation of the presentation of the master's thesis within the framework of the oral diploma examination is also discussed.

Assessment methods

Continuous assessment

Teaching methods

Reflexion, Exercise

Language

German

Lecture contents

The course deals with objectives, problems and methodological aspects of evaluation. Practical examples are used to work out the design of evaluation planning and to deal with the requirements and problems of success monitoring. The different decision-making stages in the planning and implementation of an evaluation are described and conceptual and methodological alternatives are presented. Furthermore, problems in the assessment and interpretation of results are discussed

Assessment methods

Final exam

Teaching methods

Lecture, Discussion

Language

German

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
Continuous assessment

Teaching methods

Reflexion, Exercise

Language

German

Lecture contents

The course accompanies the students in the process of writing the Master's thesis. The current status of the master's thesis is presented, important methodological questions are clarified and the "defence of the master's thesis" is discussed. In addition, the students receive feedback on the design, survey and evaluation methodology (arranging, presenting, analysing and interpreting the data material). The preparation of the presentation of the master's thesis within the framework of the oral diploma examination is also discussed.

Assessment methods

Continuous assessment

Teaching methods

Reflexion, Exercise

Language

German

Lecture contents

Starting with an introduction to the issue of location, different theoretical approaches are presented that deal with location choice and spatial structure from a microeconomic or macroeconomic perspective. Beyond the individual company, the interaction of companies, households and the state is examined.
The theories presented illustrate reasons for the spatial concentration of economic activity. In order for the students to be able to conduct regional and urban economic studies themselves (e.g. in the context of short analyses, etc.), knowledge about empirical methodology is also taught. Various measures of spatial concentration and regional specialisation are taught.

Assessment methods

Final exam

Teaching methods

Lecture, Discussion

Language

German