Bureaucracy: What Government Agencies do and Why They do it.James Q. Wilson
In: The journal of politics: JOP, Band 53, Heft 1, S. 249-252
ISSN: 1468-2508
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In: The journal of politics: JOP, Band 53, Heft 1, S. 249-252
ISSN: 1468-2508
In: The journal of politics: JOP, Band 53, Heft 1, S. 249-252
ISSN: 0022-3816
In: American journal of political science, Band 36, Heft 4, S. 1023
ISSN: 1540-5907
In: American journal of political science: AJPS, Band 36,N. 4 (N, S. 1023
ISSN: 0092-5853
In: American journal of political science: AJPS, Band 36, Heft 4, S. 1023-1046
ISSN: 0092-5853
The use of quantitative data & multiple tests of hypotheses in political science causes chance to play a significant role in shaping the results. Here, recent statistical work on the likelihood of coincidences is reviewed, & findings are applied to common problems of data analysis in political science, eg, significance testing, model specification, & dummy variable analysis. Several ways that statistical results can appear to be meaningful when they are not are illustrated, & remedies that aid in the assessment of the true probability of the improbable in research results are suggested. 3 Tables, 42 References.