Zhou Leming, Parmanto Bambang
Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States.
J Med Internet Res. 2020 Apr 29;22(4):e15075. doi: 10.2196/15075.
Well-being has multiple domains, and these domains are unique to the population being examined. Therefore, to precisely assess the well-being of a population, a scale specifically designed for that population is needed.
The goal of this study was to design and validate a comprehensive well-being scale for people in a university environment, including students, faculty, and staff.
A crowdsourcing approach was used to determine relevant domains for the comprehensive well-being scale in this population and identify specific questions to include in each domain. A web-based questionnaire (Q1) was used to collect opinions from a group of university students, faculty, and staff about the domains and subdomains of the scale. A draft of a new well-being scale (Q2) was created in response to the information collected via Q1, and a second group of study participants was invited to evaluate the relevance and clarity of each statement. A newly created well-being scale (Q3) was then used by a third group of university students, faculty, and staff. A psychometric analysis was performed on the data collected via Q3 to determine the validity and reliability of the well-being scale.
In the first step, a group of 518 university community members (students, faculty, and staff) indicated the domains and subdomains that they desired to have in a comprehensive well-being scale. In the second step, a second group of 167 students, faculty, and staff evaluated the relevance and clarity of the proposed statements in each domain. In the third step, a third group of 546 students, faculty, and staff provided their responses to the new well-being scale (Pitt Wellness Scale). The psychometric analysis indicated that the reliability of the well-being scale was high.
Using a crowdsourcing approach, we successfully created a comprehensive and highly reliable well-being scale for people in the university environment. Our new Pitt Wellness Scale may be used to measure the well-being of people in the university environment.
幸福感具有多个维度,且这些维度因所研究的人群而异。因此,为精确评估某一人群的幸福感,需要一个专门为该人群设计的量表。
本研究的目的是设计并验证一个适用于大学环境中人群(包括学生、教师和工作人员)的综合幸福感量表。
采用众包方法来确定该人群综合幸福感量表的相关维度,并确定每个维度应包含的具体问题。通过基于网络的问卷(Q1)收集一组大学生、教师和工作人员对量表维度和子维度的意见。根据通过Q1收集到的信息创建了一个新的幸福感量表草案(Q2),并邀请第二组研究参与者评估每条陈述的相关性和清晰度。然后,第三组大学生、教师和工作人员使用新创建的幸福感量表(Q3)。对通过Q3收集的数据进行心理测量分析,以确定幸福感量表的有效性和可靠性。
第一步,518名大学社区成员(学生、教师和工作人员)指出了他们希望在综合幸福感量表中包含的维度和子维度。第二步,167名学生、教师和工作人员组成的第二组评估了每个维度中拟议陈述的相关性和清晰度。第三步,546名学生、教师和工作人员组成的第三组对新的幸福感量表(匹兹堡幸福感量表)做出了回应。心理测量分析表明,该幸福感量表的可靠性很高。
通过众包方法,我们成功地为大学环境中的人群创建了一个全面且高度可靠的幸福感量表。我们新的匹兹堡幸福感量表可用于测量大学环境中人群的幸福感。