Tag Archives: CP

Introduction to MaxQDA for Case Studies

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Heiko Grunenberg (Deutsches Jugend Institut München)

Date:
07.10.2010, 14:00 – 17:30

Room: n.s.

Max. number of participants: 20

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

Contents:
This workshop is directly affiliated to the course “Case Study Research” with Peter Eberl. We want to see, how the ideas and approaches of “Case Study Research” could be transacted with a software of qualitative research like MAXqda.

It is not necessary to have deep knowledge about MAXqda, but please have a look at http://www.maxqda.com to understand the basic steps of computer assisted qualitative research.

You have to register for the 4th International Research Workshop to participate in this course.

Case Study Research

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Peter Eberl (University of Kassel)

Date:
04.10.2010, 14:00 – 17:30
05.10.2010, 14:00 – 17:30

Room: n.s.

Max. number of participants: 20

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

Contents:
Robert Yin a famous researcher in the field defines the case study research method as an empirical inquiry that investigates a contemporary phenomenon within its real-life context; when the boundaries between phenomenon and context are not clearly evident; and in which multiple sources of evidence are used.

Case study research can be applied in a qualitative or quantitative research design. Therefore, it can be used for theory building or theory testing. However, case studies are the predominant research design for theory building in management research. Theory building can be either the development of a new theory or the refinement of an existing one. Thus, in the field of management case studies are commonly used as an empirical framework for a qualitative research approach. Accordingly, the workshop is focused on qualitative case study designs. The following issues are addressed:

  • Differences between quantitative and qualitative research designs
  • Research questions for case studies
  • Case selection and data gathering
  • Data analysis and generalization
  • Qualitative criteria for good case studies

Publishing case studies:
Students should prepare the following article for in-class-discussion: Ravasi, D./Schultz, M.: Responding to Organizational Threads: Exploring the Role of Organizational Culture, in: Academy of Management Journal 2006: 433-458.

Further recommended readings:

Eisenhardt, K.: Building Theories from Case Study Research, in: Academy of Management Review 1989: 532-550.

Flyvbjerg, B.: Five Misunderstandings About Case‐Study‐research, in: Qualitative Inquiry 2006, p. 219 ‐ 244

Yin, R.: Case Study Research: Design and Methods, Thousand Oaks, 3ed. 2003

You have to register for the 4th International Research Workshop to participate in this course.

Data Analysis with Stata (Intermediates)

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Andrea Schäfer (University of Bremen)

Date:
04.10.2010, 14:00 – 17:30
05.10.2010, 14:00 – 17:30
07.10.2010, 14:00 – 17:30

Room: n.s.

Max. number of participants: 25

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

Contents: n.s.

You have to register for the 4th International Research Workshop to participate in this course.

Introduction to the SOEP

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Elke Holst (SOEP at DIW) and Andrea Schäfer (University of Bremen)

Date:
04.10.2010, 14:00 – 17:30
05.10.2010, 14:00 – 17:30

Room: n.s.

Max. number of participants: 25

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:
The Socio-Economic Panel Study (SOEP) is a longitudinal study of private households in Germany. The panel provides information on all household members and was started in 1984. In 2008, there were more than 11,000 households, and about 20,000 persons sampled. Some of the many topics include household composition, occupational biographies, employment, earnings, health, well being, integration, values, lifestyles, and personality. The course gives an overview of the data structure and the research designs facilitated by longitudinal household studies that go beyond conventional surveys (household analysis, intergenerational analysis, life course research, etc.). In hands-on sessions using Stata, the course provides an applied introduction into the data retrieval, the construction of longitudinal data files, and illustrates some exemplary analyses.

You have to register for the 4th International Research Workshop to participate in this course.

Questionnaire Design

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Prof. Dr. Juergen H. P. Hoffmeyer-Zlotnik (GESIS)
Prof. Dr. Dagmar Krebs (University of Gießen)
Dr. Natalja Menold (GESIS)

Date:
04.10.2010, 09:00 – 12:30
05.10.2010, 09:00 – 12:30
07.10.2010, 09:00 – 12:30
08.10.2010, 09:00 – 12:30

Room: n.s.

Max. number of participants: n.s.

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

Contents:
The lectures deal with the basic principles which have been established in the best practice of questionnaire design. The theoretical background and current state of research will be demonstrated on examples and practical exercises.

1. Cognitive process and cognitive pretests: Monday, 4 October, 9 – 12.30

For the beginning the cognitive process in survey responding, including comprehension, retrieval, judgement and formatting response will be presented. For each of these phases the demands for questionnaire design related to the questions about attitudes, opinions and behavior will be explicated. It will be shown, how cognitive pretest techniques (think aloud, probing, confidence rating, paraphrasing) can help to detect the problems in questionnaires, which were related to the cognitive burden of the respondents.

2. Context effects and question wording: Tuesday, 5 October, 9 – 12.30

This section deals with the impact of situational context given in questionnaires on judgements/answers. Regarding the principles of question wording topics such as to phrase the questions, usage of terms and problems with hypothetical, suggestive, negative and double-barreled questions were attended. For each of the principles examples of problems and their solutions will be given.

3. Constructing of optimal answer formats: Thursday, 7 October, 9 – 12.30

Constructing of optimal answer formats due the reliability and validity of questions includes topics such as number of scale points, midpoint, usage of unipolare and bipolare scales, labels of scale points, ascending and descending sequences. Related topics are handling of open and closed questions and usage of non-opinion filters. The problems and their solutions are demonstrated with help of examples and exercises.

4. Collection of sociodemographic data: Friday, 8 October, 9 – 12.30

The fourth part of this lesson demonstrate how to harmonise demographic and socio-economic variables in cross-national comparative survey research. Demographic and socio-economic variables describe the context in which a person is acting. In cross-national comparable research standardised instruments or indices exist only for a very small group of variables. Aside from these instruments there are rules for developing further measurement instruments for measuring socio-demographic variables in cross-national research.

You have to register for the 4th International Research Workshop to participate in this course.

Qualitative (Expert) Interviews

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Heiko Grunenberg (Deutsches Jugend Institut München)

Date:
04.10.2010, 09:00 – 12:30
05.10.2010, 09:00 – 12:30

Room: n.s.

Max. number of participants: 20

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

Contents:
The workshop addresses participants who are quite unexperienced in procedures of conducting qualitative interviews. We want to do some exercises in the theory and the practice of interviewing. Thus, we want to see: What are the main postulates in this kind of qualitative research and what are the most frequent mistakes?

At the first, we will build are theoretical basement. What are the characteristics of qualitative and quantitative interviewing? You will learn about the different kinds of interviews and the variety of questions. (This part is hold in German, because it depends on the grammar of every language!) Furthermore, the course covers a broader view of the specifics of interviews with so called experts. You will practice to conduct own “public” interviews based on your research and will collect several routine in conducting qualitative interviews.

You have to register for the 4th International Research Workshop to participate in this course.

Teaching Skills: How to Implement Activating Methods Appropriately

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Verena Brenner (Self-Employed Trainer) & Tatjana Reiber (HSU Hamburg)

Date: 06.10.2010, 09:00 – 17:30

Room: n.s.

Max. number of participants: 20

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: German

Contents:
Although independence and personal initiative are considered key competencies in academia, teaching at university level does often amount to the transfer of knowledge from an expert (the lecturer) to a passively absorbing audience (the students). Participants of this course will get to know various activating methods and teaching strategies, which encourage students to study autonomously and self-determined. A strong focus will be set on the appropriate use of these methods: for which objectives, in which course context and for which target group can a method be applied? Furthermore, participants will have time and opportunity to practice the instruction of several methods.

You have to register for the 4th International Research Workshop to participate in this course.

Multilevel Modeling

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Roel de Jong (University of Hamburg)

Date: 06.10.2010, 09:00 – 17:30

Room: n.s.

Max. number of participants: 25

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

Contents:
Many research designs in the social, medical and biological sciences yield data that have a hierarchical, nested or clustered structure. Examples include pupils within classes, children within families, occasions within an individual, experiments within batches, tests within laboratories, and so on. Classic statistical techniques fail to take into account that observations from the same cluster are likely to be dependent on each other, and are therefore not suited to analyze such data. Multilevel models have been developed over the last 20 years as an alternative, and are now the de-facto standard for the analysis of data with these complex patterns of variability.

In this course, you will learn :

  • About the structure of multilevel models.
  • How to ascertain the degree to which the observations of the sample are dependent.
  • How to specify and fit multilevel models using statistical software.
  • How to perform statistical tests relevant to the hypotheses at hand.

You have to register for the 4th International Research Workshop to participate in this course.

Writing a Research Proposal

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Ulrike Pospiech (University of Duisburg-Essen) and Marion Hartung (Helmut-Schmidt-University/University of the Federal Armed Forces)

Date: 07.10.2009, 09:00 a.m. – 17:30 p.m.

Room: n.s.

Max. number of participants: 15

Semester periods per week: n.s.

Credit Points: 3 CP for participating in the whole IRWS 2009

Language of instruction: German

Contents:

Doing a PhD begins with writing a research proposal, which explains a project of academic or scientific research. The proposal shall give information about the form and procedures for research.

The workshop gives answers to the following questions:

  • Which are the parts of a research proposal?
  • How to prepare the different parts?
  • How to formulate the hypothesis?
  • How to write clearly and well structured?
  • How to convince others, that an actual research can begin?

Step by step we will take a view on strategies to navigate the hazards of writing research proposals, which is one of the most difficult as well as unavoidable requirements of graduate study.

You have to register for the 3rd International Research Workshop to participate in this course.

Handling Missing Data

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Martin Spieß (University of Hamburg & SOEP at the DIW Berlin)

Date: 07.10.2009, 09:00 a.m. – 17:30 p.m.

Room: n.s.

Max. number of participants: 30

Semester periods per week: n.s.

Credit Points: 3 CP for participating in the whole IRWS 2009

Language of instruction: English

Contents:

Most surveys are affected by missing data. Depending on the mechanism that led to the observed pattern of missing and observed data, inferences based on the observed part of the data set using standard analysis tools may be severely biased. Thus, in the first part of the lecture, the missing mechanisms leading to data that are missing completely at random (MCAR), missing at random (MAR) or not missing at random (NMAR) will be discussed. In the second part, we will look at different methods to compensate for missing units and missing items. The emphasis in this part is on weighting to compenaste for unit nonresponse and multiple imputation to compensate for item nonresponse.

You have to register for the 3rd International Research Workshop to participate in this course.