4th GESIS Summer School in Survey Methodology

Date:

06/08/2015 - 28/08/2015

Organised by:

GESIS - Leibniz Institute for the Social Sciences

Presenter:

Evgenia Samoilova

Level:

Intermediate (some prior knowledge)

Contact:

Scientific coordinator:
Evgenia Samoilova, +49-221-47694.166, evgenia.samoilova@gesis.org
Administrative coordinator:
Angelika Ruf, +49-221-47694.162, angelika.ruf@gesis.org

video conference logo

Venue: Online

Description:

The GESIS Summer School in Survey Methodology offers high quality training in state of the art techniques and methods of survey research. It aims to:

  • give a broad overview of survey methods;
  • equip participants with essential skills in the design, planning, execution, documentation and quality assurance of surveys;
  • provide an opportunity to deeply engage with the different tasks of survey design and implementation (such as questionnaire design, sampling, nonresponse and fieldwork monitoring), different survey modes (such as personal interviews, web surveys, and mixed-mode), and research designs involving surveys (such as mixed methods, factorial surveys, longitudinal surveys and cross-national surveys);

Cost:

Short courses:
student rate € 100; academic rate: € 140
Main courses:
student rate € 250; academic rate: € 350

Website and registration:

Region:

Europe

Keywords:

Frameworks for Research and Research Designs, Comparative and Cross National Research, Survey Research, Data Collection, Sampling , Survey sampling , Survey and Questionnaire Design, Questionnaire design, Data Quality and Data Management , Data Management , Nonresponse , Quantitative Data Handling and Data Analysis, Latent Variable Models

Related publications and presentations:

Frameworks for Research and Research Designs
Comparative and Cross National Research
Survey Research
Data Collection
Sampling
Survey sampling
Survey and Questionnaire Design
Questionnaire design
Data Quality and Data Management
Data Management
Nonresponse
Quantitative Data Handling and Data Analysis
Latent Variable Models

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