This course provides a toolkit to collect and/or work with multi-national, multi-lingual, and multi-cultural (3MC) data. It introduces strategies to optimize the comparability of data before, during, and after data collection, presents approaches for assessing the quality of collected 3MC data and shows how to deal with missing comparability.
This 2.5-day course covers majoraspects of working with multi-national, multi-lingual, and multi-cultural (3MC) data. It provides participants with valuable knowledge to draft and field questionnaires that are comparable across different cultures and languages. In addition, it introduces approaches to assess the comparability of collected data and shows strategies on how to deal with missing comparability.
Specifically, this course covers:
The course is a combination of lectures, exercises and a computer lab there where students learn to run measurement invariance tests with MPLUS or R.
The course also provides the opportunity to receive individual consultations with 3MC experts regarding own research projects.
After the course, participants are ready to apply the learned towards their own 3MC surveys, are able to critically assess existing 3MC surveys and survey documentations.
Participants are requested to bring their own laptop. Software will be available online.
A good course combination is our Summer School course “Survey Research: Design, Implementation and Data Processing” (S15, 11 - 15 August)
Katharina Meitinger
The course is intended for advanced students and professionals in such fields as social and behavioral research, marketing, business, health sciences, and official statistics. The course aims at researchers who intend to design and analyze their own multi-national, multi-cultural, or multi-lingual (3MC) survey, but also at researchers who analyze secondary 3MC data such as the European Social Survey (ESS) or the International Social Survey Program (ISSP).
This course assumes general knowledge of survey methodology and statistics. A basic knowledge of methods and statistics (e.g. descriptive statistics) is beneficial but not a requirement for this course. In this course, there will be a demonstration how to run measurement invariance tests in MPLUS and R but no specific knowledge of MPLUS or R is required.
More and more cross-national surveys are being conducted. Due to data collection efforts of large cross-national surveys such as the European Value Survey or the International Social Survey Programme, there are large opportunities for researchers and students to work with cross-national data. However, 3MC data have an additional “layer of complexity” in comparison to single country/language studies. This course is intended as an introduction to 3MC data collection and analysis at the Master/graduate level for anyone who plans to collect 3MC data or wants to work with already collected 3MC data.
This 2.5-day course consists of formal lectures, practical exercises (with feedback) that apply the tools presented in the lectures, and a computer lab.
On Wednesday, the course starts at 13:00 and ends at 17:00. On Thursday and Friday, the course runs from 9:00-17:00. At the last day (Friday) after the morning program, there is the opportunity for individual consultation. Students who want to use this opportunity are expected to prepare for this in advance.
You will receive a certificate upon course completion. Please be aware that this course does not include graded activities, and therefore we cannot provide a transcript of grades.
PhD students from the Faculty of Social and Behavioural Sciences at Utrecht University have the opportunity to attend three Winter/Summer School courses funded by the Graduate School of Social and Behavioural Sciences. Additionally, they may choose to take as many courses as they wish at their own expense from their personal budget.
Utrecht Summer School does not offer scholarships for this course.
The housing costs do not include a Utrecht Summer School sleeping bag. This is a separate product on the invoice. If you wish to bring your own bedding, please deselect or remove the sleeping bag from your order.
