The Road Not Taken: Fostering Research on the Psychology of Religiosity and Spirituality via Underused Representative, Open-Access Datasets (ROADs)
Psychologists studying religiosity and spirituality (R/S) often face several challenges when conducting their research, such as collecting data from nationally representative samples, cross-cultural generalizability, statistical power, and integrated multilevel approaches. We examined one potential...
| Authors: | ; ; ; |
|---|---|
| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | Drawer...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Published: |
Routledge, Taylor & Francis Group
[2019]
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| In: |
The international journal for the psychology of religion
Year: 2019, Volume: 29, Issue: 3, Pages: 204-221 |
| Standardized Subjects / Keyword chains: | B
Religious psychology
/ Research
/ Religiosity
/ Spirituality
/ Open scholarship
|
| RelBib Classification: | AD Sociology of religion; religious policy AE Psychology of religion |
| Online Access: |
Volltext (Resolving-System) Volltext (doi) |
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| 520 | |a Psychologists studying religiosity and spirituality (R/S) often face several challenges when conducting their research, such as collecting data from nationally representative samples, cross-cultural generalizability, statistical power, and integrated multilevel approaches. We examined one potential solution-the use of Representative, Open-Access Datasets (ROADs), which are currently underutilized. In this article, we define ROADs; discuss affordances, obstacles, and best practices in using them; document the R/S variables available in various waves of ongoing ROADs collection efforts; and delineate ways to increase usage of ROADs as a research tool in the future. This will enhance the capability of psychologists to address theory-driven questions and to better understand the role of R/S in everyday life, including social attitudes, health, and well-being, as well as social change, cohesion, and conflict. Looking forward, we recommend (a) adding more, and more nuanced, variables to future ROADs data collection efforts; (b) publishing more frequently using ROADs data; and (c) conducting workshops to promote the use of ROADs and to train researchers in secondary data analysis techniques. | ||
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