German Internet Panel (GIP) – Module “Inflation” November Wave 2014 (English Version) - Cognitive Online-Pretest
Abstract:
The German Internet Panel (GIP) is part of the collaborative research center 884 “The Political Economy of Reforms“ (CRC 884) at the University of Mannheim.
In preparation of a sub-module about “inflation“ for the panel-wave in November 2014, some questions were tested in an online-pretest from a methodological angle to potentially improve them.
The questions were tested in a cognitive online pretest via web probing.
*Note: The items were tested in German. The items documented here are English translations of the original German wordings.*
Citation:
Lenzner, T., & Soiné, H. (2014): German Internet Panel (GIP) – Module “Inflation” November Wave 2014 (English Version). Cognitive Online-Pretest. GESIS - Leibniz Institute for the Social Sciences
DOI:
Number of Participants:
108
Selection of Target Population/Quotas:
Quota sample. The selection of the target population was based on age-group (18 - 40 years; 41 years and older), education (“Fachhochschulreife”/”Abitur”; no “Abitur”) and gender quota:
- 18 - 40 years, Less than "Abitur", 11 females and 7 males
- 18 - 40 years, "Fachhochschulreife"/"Abitur", 12 females and 15 males
- 41 years and older, Less than "Abitur", 19 females and 18 males
- 41 years and older, "Fachhochschulreife"/"Abitur", 10 females and 16 males
Test Date:
07/2014 - 08/2014
Survey mode:
CAWI
Pretest mode:
Web Probing
Procedure:
Usage of an online-questionnaire with additional open and closed probing-questions.
Incentive for respondents:
5 Euro
Project Description:
The German Internet Panel (GIP) is part of the collaborative research center 884 “The Political Economy of Reforms“ (CRC 884) at the University of Mannheim. The GIP is the central data collection instrument at the CRC and provides information about individual reform preferences and their change in several research teams. At the same time GIP is the first longitudinal study conducted online that is based on a random sample of the population. It also includes people who did not have access to computers and/or internet before by providing them with the necessary equipment.
Website:
https://reforms.uni-mannheim.de/internet_panel/Internet_Panel/
Client:
Uni Mannheim
Prof. Dr. Nicole Baerg