Tag Archives: Date Monday

Expert Interviews

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Betina Hollstein (University of Hamburg)

Date: Monday, 29/09/14 – Wednesday, 01/10/14 from 09.00-12.30 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Expert interviews are often used in empirical social research. Sometimes they are part of the preparatory stage of a study. Sometimes expert interviews are the main data source. The course will focus on theory and practice of expert interviews, i.e. methodological foundations and practical considerations when conducting expert interviews.

The course starts out with a brief overview on the specific characteristics of qualitative data and methods. We will discuss problems and challenges associated with qualitative interviewing and different ways to deal with these challenges. We will address different types of expert interviews (guided interviews, narrative interview), by highlighting the strengths and weaknesses of each approach and discussing the crucial steps when preparing and conducting expert interviews. Finally, we will discuss how to get access to the field, ways of data management and different strategies for data analysis.

Required basic knowledge: Basic knowledge and skills in social research methods and methodology (Bachelor degree in a Social Science discipline).

You have to register for the 8th International Research Workshop to participate in this course.

Qualitative Research Methodology and Design Strategies

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Anna Brake (University of Augsburg)

Date: Monday, 29/09/14 – Wednesday, 01/10/14 from 09.00-12.30 h

Max. number of participants: 18

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Methodological rigor is of vital importance for the success of an qualitative research project. Research question, methodological approach of data collection, sampling and strategies of (verbal) data analysis have to be well matched in order to ensure a compelling overall research process. The workshop aims at providing the opportunity to discuss methodological issues and questions of qualitative research designs in the light of the participant’s own dissertation projects. It addresses Ph.D. students who seek further clarification for their methodological rationale in their qualitative study regarding the appropriateness  of the underlying research question, sampling procedures, interview or observation techniques, approaches for data analysis and others. Thus, in the workshop we will not debate on general issues of methodological importance, but will focus on the methodologically demanding topics the participants are facing within their own qualitative study.

Participants should be well advanced in defining the particular purpose of their qualitative research. They are kindly asked to submit a research abstract no later than two weeks before the beginning of the workshop to anna.brake@phil.uni-augsburg.de

You have to register for the 8th International Research Workshop to participate in this course.

Data Analysis with R

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Marco Lehmann (University of Hamburg)

Date: Monday, 29/09/14 – Wednesday, 01/10/14 from 09.00-12.30 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The course introduces the programming language R used for statistical analyses. The beginning of each lecture comes with a demonstration of programming and statistical functions that will be elaborated in the course of study. The students will then practice with many statistical examples. In addition to statistical functions the course will introduce the definition of R as a programming language and its syntax rules. Students will further learn to use R’s scripting capabilities. Successful participation requires basic knowledge in descriptive and inferential statistics. The students are encouraged to bring their own laptops with the free software R (www.r-project.org/) and RStudio (www.rstudio.com/) installed.

Recommended literature and pre-readings:

  • Wollschläger, Daniel (2012). Grundlagen der Datenauswertung mit R (2. Aufl.). Berlin: Springer.

You have to register for the 8th International Research Workshop to participate in this course.