Open AccessA Methodology For Studying Organizational Performance
Author(s) -
Karen B. Lasater,
Olga Jarrín,
Linda H. Aiken,
Matthew D. McHugh,
Douglas M. Sloane,
Herbert L. Smith
Publication year - 2019
Publication title -
medical care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.632
H-Index - 178
eISSN - 1537-1948
pISSN - 0025-7079
DOI - 10.1097/mlr.0000000000001167
Subject(s) - sampling frame , representativeness heuristic , non response bias , response bias , selection bias , sampling (signal processing) , sampling bias , quality (philosophy) , psychology , sample (material) , survey methodology , population , applied psychology , statistics , medicine , sample size determination , social psychology , computer science , environmental health , philosophy , chemistry , mathematics , filter (signal processing) , epistemology , chromatography , computer vision
Rigorous measurement of organizational performance requires large, unbiased samples to allow inferences to the population. Studies of organizations, including hospitals, often rely on voluntary surveys subject to nonresponse bias. For example, hospital administrators with concerns about performance are more likely to opt-out of surveys about organizational quality and safety, which is problematic for generating inferences.