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Using the Probability-Based GESIS Panel for Longitudinal Psychological Research on the COVID-19 Outbreak in Germany

[journal article]

Weiß, Bernd
Stadtmüller, Sven

Abstract

The GESIS Panel (GP) allows the scientific community to collect survey data free of charge within a probability-based mixed-mode panel. In addition, the GP provides high-quality longitudinal data for secondary research. In March 2020, the GP conducted a special survey on the coronavirus outbreak. Si... view more

The GESIS Panel (GP) allows the scientific community to collect survey data free of charge within a probability-based mixed-mode panel. In addition, the GP provides high-quality longitudinal data for secondary research. In March 2020, the GP conducted a special survey on the coronavirus outbreak. Since then, the COVID-19 questionnaire module has become an integral part of the GP. In sum, 13 waves were fielded that included questions on COVID-19, e.g., on attitudes, opinions, and behaviors related to the pandemic. Here, we introduce the GP focusing on longitudinal psychological research opportunities regarding the COVID-19 outbreak.... view less

Keywords
contagious disease; epidemic; Federal Republic of Germany; survey research; data capture; data access; survey; panel; opinion research

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
Corona; COVID-19; Coronavirus; GESIS Panel - Extended Edition (ZA5664 v48.0.0); GESIS Panel - Standard Edition (ZA5665 v48.0.0); GESIS Panel Special Survey on the Coronavirus SARS-CoV-2 Outbreak in Germany (ZA5667 v1.1.0)

Document language
English

Publication Year
2023

Page/Pages
p. 1-12

Journal
Journal of Open Psychology Data, 11 (2023) 1

DOI
https://doi.org/10.5334/jopd.90

ISSN
2050-9863

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.