| 000 -LEADER |
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| fixed length control field |
01313pab a2200157 454500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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180718b2005 xxu||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Wagner, Kevin |
| 245 ## - TITLE STATEMENT |
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| Title |
Bayesian inference in public administration research: substantive differences from somewhat different assumptions |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Date of publication, distribution, etc. |
2005 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
p.5-35. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
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. - Reproduced. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Public administration |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Gill, Jeff |
| 773 ## - HOST ITEM ENTRY |
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| Main entry heading |
International Journal of Public Administration |
| 909 ## - |
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| -- |
65951 |
