当前位置: X-MOL 学术Journal of Mixed Methods Research › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Generative Sequential Mixed Methods Approach Using Quantitative Measures to Enhance Social Constructionist Inquiry
Journal of Mixed Methods Research ( IF 5.746 ) Pub Date : 2021-01-15 , DOI: 10.1177/1558689820986273
Diego Romaioli 1
Affiliation  

In order to enhance core mixed methods research designs, social scientists need an approach that incorporates developments in the social constructionist perspective. This work describes a study that aimed to promote occupational well-being in hospital departments where employees are at risk of burnout, based on a constructionist inquiry developed starting from the Maslach Burnout Inventory. Taking this study as an example, we define a “generative sequential mixed methods approach” as a process that involves consulting quantitative studies to identify criticalities on which to conduct focused, transformative investigations. The article contributes by envisaging ways to mix qualitative and quantitative methods that consider a “generative” and “future-forming” orientation to research, in line with recent shifts in social psychology.



中文翻译:

生成量顺序混合方法使用定量方法来增强社会建构主义的探究

为了增强核心混合方法的研究设计,社会科学家需要一种结合社会建构主义观点的发展的方法。这项工作基于从Maslach倦怠量表开始进行的建构主义调查,描述了一项旨在促进员工有倦怠风险的医院部门的职业幸福感的研究。以本研究为例,我们定义了一种“生成顺序混合方法”,该过程涉及咨询定量研究以识别进行重点,变革性研究的重要性。本文通过设想将混合“定性”和“未来形成”方向进行研究的定性和定量方法相结合的方法来做出贡献,以适应社会心理学的最新变化。

更新日期:2021-01-16
down
wechat
bug