Quantifying the Likelihood of False Positives: Using Sensitivity Analysis to Bound Statistical Inference
Criminologists have long questioned how fragile our statistical inferences are to unobserved bias when testing criminological theories. This study demonstrates that sensitivity analyses offer a statistical approach to help assess such concerns with two empirical examples—delinquent peer influence an...
Authors: | ; ; |
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Format: | Electronic Article |
Language: | English |
Published: |
2019
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In: |
Journal of quantitative criminology
Year: 2019, Volume: 35, Issue: 4, Pages: 631-662 |
Online Access: |
Volltext (Resolving-System) |
Journals Online & Print: | |
Check availability: | HBZ Gateway |
Keywords: |
Summary: | Criminologists have long questioned how fragile our statistical inferences are to unobserved bias when testing criminological theories. This study demonstrates that sensitivity analyses offer a statistical approach to help assess such concerns with two empirical examples—delinquent peer influence and school commitment. |
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ISSN: | 1573-7799 |
DOI: | 10.1007/s10940-018-9385-x |