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Current recommendations on the selection of measures for well-being
Tyler J VanderWeele1, Claudia Trudel-Fitzgerald1, Paul Allin2
1Harvard T.H. Chan School of Public Health, Boston, MA, USA.
This study offers guidance on selecting well-being measures for various contexts, addressing the lack of clear recommendations for researchers. It provides practical advice for choosing appropriate well-being assessment tools.
Area of Science:
- Psychological Science
- Social Science Research Methods
Background:
- Numerous well-being measures exist, leading to confusion for researchers.
- A lack of clear guidance complicates the selection of appropriate measurement tools.
- Context-specific recommendations are needed for effective well-being assessment.
Purpose of the Study:
- To provide evidence-based recommendations for selecting well-being measures.
- To guide researchers in choosing the most suitable instruments for different data collection contexts.
- To address the proliferation of well-being assessment tools and offer practical solutions.
Main Methods:
- An interdisciplinary workshop convened experts to discuss well-being measurement.
- Recommendations were developed based on the current state of knowledge and available measures.
- Considerations included survey item count, data collection purpose, and study type (e.g., government surveys, cohort studies, psychological well-being studies).
Main Results:
- A framework of recommendations for choosing well-being measures across diverse contexts.
- Guidance tailored to factors such as survey length and specific research objectives.
- Consideration of different application areas including general population surveys and specialized psychological research.
Conclusions:
- The recommendations aim to assist researchers, particularly those new to the field.
- The guidance is intended to stimulate further discussion and refinement in well-being measurement.
- This work provides a practical starting point for selecting appropriate well-being assessment tools.
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