Bayesian inference in public administration research : substantive differences from somewhat different assumptions
By: WAGNER, Kevin
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Contributor(s): GILL, Jeff.
Material type: 
ArticlePublisher: Philadelphia : Routledge, 2005International Journal of Public Administration - IJPA 28, 1-2, p. 5-35 Abstract: The purpose of this article is to point out that the standard statistical inference procedure in public administration is defective and should be replaced. The standard classicist approach to producing and reporting empirical findings is not appropriate for the type of data we use and does not report results in a useful manner for researchers and practitioners. The Bayesian inferential process is better suited for structuring scientific research into administrative questions due to overt assumptions, flexible parametric forms, systematic inclusion of prior knowledge, and rigorous sensitivity analysis. We begin with a theoretical discussion of inference procedures and Bayesian methods, then provide an empirical example from a recently published, well-known public administration work on education public policy.
The purpose of this article is to point out that the standard statistical inference procedure in public administration is defective and should be replaced. The standard classicist approach to producing and reporting empirical findings is not appropriate for the type of data we use and does not report results in a useful manner for researchers and practitioners. The Bayesian inferential process is better suited for structuring scientific research into administrative questions due to overt assumptions, flexible parametric forms, systematic inclusion of prior knowledge, and rigorous sensitivity analysis. We begin with a theoretical discussion of inference procedures and Bayesian methods, then provide an empirical example from a recently published, well-known public administration work on education public policy.
Volume 28
Numbers 1-2
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