Moving from Offline to Online
How Covid-19 Affected Research in the Social and Behavioral Sciences
Bibliographic Data
| ID | 3759531 |
|---|---|
| Authors | A Binder (0000-0003-3266-8614, University of Vienna, corresponding author), Jörg Matthes (0000-0001-9408-955X, University of Vienna), Emese Domahidi (0000-0003-3530-797X, Department of Economic Sciences and Media, Group Computational Communication Science, Technische Universität Illmenau, Illmenau, Germany), Marko Bachl (0000-0001-5852-4948, Freie Universität Berlin) |
| Year | 2025 |
| Volume | 69 |
| Issue | 10 |
| Pages | 1195-1203 |
| Publication date | 2025-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Behavioral Scientist (JOURNAL) |
| Journal identifiers | ISSN: 0002-7642 • E-ISSN: 1552-3381 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/00027642231205761 |
| OpenAlex | W4387847862 |
| Language | EN |
| References cited | 33 |
During the COVID-19 pandemic, researchers have faced a lot of challenges related to their daily work. This article introduces a special issue of the American Behavioral Scientist , which particularly focuses on methodological challenges caused by the COVID-19 pandemic. Based on a brief review of the literature as well as the studies in this issue, we argue that the pandemic has sparked significant methodological innovations with respect to design, data collection, study documentation, and scholarly collaboration. We distinguish two types of innovations, both conceptualized as the outcome of an unprecedented external shock. First, "methodological compromises" that enabled data collection during the pandemic, but are inferior to established approaches. These methodological compromises, therefore, may be abandoned in post-pandemic times. Second, there are also "methodological game changers" that are superior to classic approaches and thus may prevail in the long run. Regardless of the type, we call scholars in the social and behavioral sciences to systematically test, compare, and evaluate the methodological innovations brought to us as a result of the COVID-19 pandemic
2019-20 coronavirus outbreak · Behavioural sciences · Coronavirus disease 2019 (COVID-19) · Data collection · Data science · Documentation · Pandemic · Political science · Public relations · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) · Social science · Sociology · Work (physics) · Computational and Text Analysis Methods · Computer Science · COVID-19 and Mental Health · COVID-19 epidemiological studies · Engineering · Medicine · Psychology
Gender Inequality in Research Productivity During the Covid-19 Pandemic
Leveraging media and health communication strategies to overcome the Covid-19 infodemic
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Has Covid-19 Gone Viral? An Overview of Research by Subject Area
Public Health Messaging during the Covid-19 Pandemic and Beyond
Covid-19 Research in Communication Journals
Introduction to the Special Issue on “Public Health Communication in an Age of Covid-19”
A Scoping Review of Emerging Covid-19 Health Communication Research in Communication and Media Journals
The state of social science research on Covid-19
Characteristics of scientific articles on Covid-19 published during the initial 3 months of the pandemic
A global health crisis with divided research traditions? A comparative review of Brazilian and international research in communication on the Covid-19 pandemic
A Systematic Review on Pedagogical Trends and Assessment Practices during the Covid-19 Pandemic
Impact of Covid-19 Pandemic on Higher Education and Research
You are not alone
Data Richness Trade-Offs Between Face-to-Face, Online Audiovisual, and Online Text-Only Focus Groups
Challenges in Remote Study Design
Using social and behavioural science to support Covid-19 pandemic response
Access Denied
Challenges and Opportunities to the Flow of Communication
Revisiting Audio Observations to Collect Qualitative Data During the Covid-19 Pandemic
Framing the Pandemic on Persian Twitter
The Remote Self-Confrontation Interview Method
Moving Behavioral Experimentation Online
Qualitative Data Collection in an Era of Social Distancing
| Citation velocity | historical |
|---|---|
| Highly cited | No |