How (Not) to Solve the Problem: An Evaluation of Scholarly Responses to Common Source Bias

• 成果类型: Article
• 署名作者: Favero, Nathan; Bullock, Justin B.
• 署名单位: Texas A&M University System; Texas A&M University College Station
• 刊物名称: JOURNAL OF PUBLIC ADMINISTRATION RESEARCH AND THEORY
• ISSN/ISSBN: 1053-1858
• DOI: 10.1093/jopart/muu020
• 发表日期: 2015
• 页码: 285-308
• 关键词: method variance; measurement error; illustration

摘要

Public administration scholars are beginning to pay more attention to the problem of common source bias, but little is known about the approaches that applied researchers are adopting as they attempt to confront the issue in their own research. In this essay, we consider the various responses taken by the authors of six articles in this journal. We draw attention to important nuances of the common measurement issue that have previously received little attention and run a set of empirical analyses in order to test the effectiveness of several proposed solutions to the common-source-bias problem. Our results indicate that none of the statistical remedies being used by public administration scholars appear to be reliable methods of countering the problem. Currently, it appears as though the only reliable solution is to find independent sources of data when perceptual survey measures are employed.