By The Graduate School of Social Sciences / Reading Time: 5 Minutes
The Graduate School of Social Sciences (VU-GSSS) is happy to announce its upcoming summer workshops which will take place in June/July 2015. The intensive workshops focus on specialized qualitative and/or quantitative methods, and provide you with hands-on experience. Summer workshops are a great way to develop and/or strengthen your skills in between busy semesters of study and work.
And in between your hard labour you can enjoy the summer in wonderful Amsterdam.
Well, here goes a summary of the courses’ content and objectives.
- Conducting Meta-Analyses.
(By Prof. Brad Bushman, June 15-19, 2015)
The course aims at providing you with the essential tools to conduct high-quality meta-analysis. By the end of this course, participants: (1) will be able to formulate a topic to conduct a meta‐analysis on; (2) will be able to conduct a literature review to collect relevant studies for their topic; (3) will be able to code relevant variables from the studies they retrieve; (4) will be able to meta‐analyze the effects from the studies they retrieved; (5) will be able to interpret and write up the meta‐analytic results
During the five days of the course you will review and discuss important aspects about conducting meta-analysis research. And, most importantly, during the afternoons you will apply the techniques learned on your own project!!
- Programming and Analyzing in R.
(By Dr. Wouter van Atteveldt, June 22-26, 2015)
R is a statistical toolkit that is becoming increasingly popular for more advanced analyses in the social sciences. R has a number of advantages over other toolkits such as SPSS and STATA. It is free of charge and open source, and it is very easy to write additional packages to add functionality.
The good news is, once you’ve learned to use R, you have access to a vast array of statistical methods and visualization techniques and to extremely versatile data processing and visualization techniques. R. This intensive hands‐on workshop will get you started using R on your own dataset. The course will provide you with both theory and hands-on practice. After having discussed the topics related to analysing in R, you will have the opportunity to use R on both provided data and your own project’s data. On the final day of course you will finally present the progress of your analyses and visualization in R: a great chance to receive feedbacks from your fellow colleagues and from the instructor.
- When and How to Design Experiments.
(By Dr. Jona Linde & Dr. Camiel Beukeboom, June 29- July 3, 2015)
This course will provide you with the tools to successfully design and use experiments in your project. Experiments are a very common tool in many fields of social science (e.g. communication science; organization science, psychology) and are becoming more common in fields where experiments used to be rare (e.g. political science). This course offers you a great chance to expand your knowledge of experiments and their tailored use in social sciences’ research.
The workshop will cover the philosophy of science behind experimental research, many examples of different types of research questions and experiments, the use of experiments in different social sciences, and practical issues for designing, conducting and reporting proper experiments.
Theory and practice will go hand in hand. You will not only be taught how to successfully design and carry out an experiment, but will also have the chance to update an existing design that can be used in your own research.
- Interviewing Individuals and Groups.
(By Prof. Francesca Polletta & Dr. Jacomijne Prins, July 6- 8, 2015)
Interviewing is a standard technique in social research, yet it poses numerous practical challenges. How should you decide whether to do individual or group interviews? How many interviews do you need? How should you deal with sensitive topics? How should you make sense of your data? Can the things people say in an interview setting be taken as what they really believe?
These are the main questions which you will be able to answer to after having attended the course.
During the workshop you will you will cover four main topics: 1) deciding whether to use individual or focus group interviews, 2) choosing a method and sample, 3) conducting interviews, 4) analyzing interview data and writing up findings. For a further intensive workshop on part 4, you can additionally follow the next workshop.
Whether or not you have already set up your project, this course will help you in developing the required skills for reflecting critically on the practical, ethical, and theoretical issues involved in interview‐based research
- Collecting, Analyzing with Atlas.TI, and Publishing Qualitative Data.
(By Prof. Barbara Risman, July 13- 15, 2015)
As a researcher you observe, make notes of you observations, interview people, sometimes take pictures, use written and electronic archives and do ethnography. The workshop is designed to equip participants with conceptual tools for analyzing qualitative (e.g., interview) data. Participants will develop hands on skills with how to analyze qualitative data using Atlas Ti by completing in‐class exercises with data provided. Finally, the third objective of this workshop is to provide skills to successfully turn qualitative analysis into manuscripts that can be submitted to journals for review.
The main focus of the course is on analyzing qualitative data once you have collected them.
During the three days of the workshop you will be practically trained on understanding the conceptual background of computer assisted qualitative analysis thru coding data and analysis. If available you can practice on your own data.
So, what are you waiting for??? Check the Summer Workshops Manual for more information on the courses, credits, fees and timetable here.
Remember to spread the news to fellow colleagues at the VU and at other universities.
To sign up for the courses, or to ask questions and request additional information, email the VU-GSSS at email@example.com
In addition, there are more courses available in the Amsterdam Summer School. For instance have a look at the highly recommended course “Big Data in Society”, taught by a number of Professors from our Faculty: