Tag Archives: CP

Data Analysis with Stata (Intermediates)

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Reinhard Schunck (Bielefeld University)

Date:

03.10.2011, 14:00 – 17:30
04.10.2011, 14:00 – 17:30
06.10.2011, 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 5th International Research Workshop to participate in this course.

Qualitative (Expert) Interviews

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Ralph Kattenbach (University of Hamburg) and Sandra Brunsbach (Heinrich-Heine University Düsseldorf)

Date:

03.10.2011, 09:00 – 12:30
04.10.2011, 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 will provide you with useful information regarding the processes of constructing and conducting a qualitative project and analyzing the resulting data. The whole process, ranging from theoretical considerations, conception, and the development of a guideline to sampling, data preparation and data evaluation will be discussed according to the needs of the participants. Useful hints for the practical implementation will be given for all stages of the research process. Additionally, individual and group exercises will help you designing and conducting interviews.

You have to register for the 5th International Research Workshop to participate in this course.

Data Analysis with R

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Wenzel Matiaske (HSU Hamburg)

Date:

03.10.2011, 09:00 – 12:30
04.10.2011, 09:00 – 12:30
06.10.2011, 09:00 – 12:30
07.10.2011, 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:

Starting with a basic level introduction to R and its concepts the course will cover typical problems arising in research using statistical tools. Focus will be on the tool R itself, not on the underlying statistics. Nevertheless procedures for descriptive statistics, regression, and multivariate analysis methods will be given in the examples. Following a ‘natural’ workflow for statisticians the course will cover reading (and cleaning) data, generating graphs and reports, defining functions for repetitive work and keeping research reproducible.

You have to register for the 5th 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:

03.10.2011, 09:00 – 12:30
04.10.2011, 09:00 – 12:30
06.10.2011, 09:00 – 12:30
07.10.2011, 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

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

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

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

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 5th International Research Workshop to participate in this course.

Introduction to MaxQDA for Case Studies

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Heiko Grunenberg (Leuphana University Lüneburg)

Date:

06.10.2011, 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”. 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 5th International Research Workshop to participate in this course.

(Multi-Value) Qualitative Comparative Analysis

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Lasse Cronqvist (University of Trier)

Date:

03.10.2011, 14:00 – 17:30
04.10.2011, 14:00 – 17:30
06.10.2011, 14:00 – 17:30

Room: n.s.

Max. number of participants: 24

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: German

Contents:

Configurational Comparative Methods (CCM) are increasingly in social science research. The workshop will introduce to these methods mainly on focusing on Qualitative Comparative Analysis (QCA). We will first introduce the conceptional basics of QCA and then looking at different refinements. Various applications of CCM will be studied and the software used for QCA will be introduced. Finally, current developments in CCM research are briefly presented.

The software introduced in this course is only available for Windows OS:
Tool for Small-N Analysis – Tosmana – http://www.tosmana.net/

You have to register for the 5th 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 Anne Busch (Berlin Graduate School of Social Sciences (BGSS) & SOEP at DIW)

Date:

03.10.2011, 14:00 – 17:30
04.10.2011, 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 2009, there were almost 12,000 households, and more than 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 5th International Research Workshop to participate in this course.

Teaching Skills: The Adequate Implementation of Activating Methods in Seminar Sessions

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

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

Date: 05.10.2011, 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 5th International Research Workshop to participate in this course.

Analysing Panel Data

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Toben Dall Schmidt, Nisar Ahmad (SDU Sonderburg/Denmark) – tbc

Date: 06.10.2011, 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:

Panel data has become popular due to their very specific structure and associated advantages. This module will introduce these basic structures and offer some first insights into the different standard estimation methods available to use panel data for analysis – the most two most common being the fixed effects models and the random effects models. In terms of advantages, the module will offer a discussion of the properties of panel data in allowing for unobservable heterogeneity, but it will also point to some of the caveats of using panel data, e.g. attrition problem in survey data. A final issue in the module will be testing procedures to allow for a selection between different estimation methods for panel data. The module will therefore offer a basic introduction into the essence of panel data analysis.

You have to register for the 5th International Research Workshop to participate in this course.

Analysing Panel Data

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Toben Dall Schmidt (SDU Sonderburg) tbc

Date:
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

Contents:
Panel data has become popular due to their very specific structure and associated advantages. This module will introduce these basic structures and offer some first insights into the different standard estimation methods available to use panel data for analysis – the most two most common being the fixed effects models and the random effects models. In terms of advantages, the module will offer a discussion of the properties of panel data in allowing for unobservable heterogeneity, but it will also point to some of the caveats of using panel data, e.g. attrition problem in survey data. A final issue in the module will be testing procedures to allow for a selection between different estimation methods for panel data. The module will therefore offer a basic introduction into the essence of panel data analysis.

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