Social and Behavioral Sciences Commons^™

Crowdsourcing Job Satisfaction Data: Examining The Construct Validity Of Glassdoor.Com Ratings, Richard N. Landers, Robert C. Brusso, Elena M. Auer

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 aggregated to the agency level, and (b) current overall and facet ratings of job satisfaction of the federal agencies contained within FEVS from Glassdoor.com as scraped from the Glassdoor application programming …