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Crowdsourcing Job Satisfaction Data: Examining the Construct Validity of Glassdoor.com Ratings
2019
Personnel Assessment and Decisions
Researchers, practitioners, and job seekers now routinely use crowdsourced data about organizations for both decision-making and research purposes. Despite the popularity of such websites, empirical evidence regarding their validity is generally absent. In this study, we tackled this problem by combining two curated datasets: (a) the results of the 2017 Federal Employee Viewpoint Survey (FEVS), which contains facet-level job satisfaction ratings from 407,789 US federal employees, and which we
doi:10.25035/pad.2019.03.006
fatcat:jiigytqadzasbbfjdgszbsuove