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Description
Can we trust published results? Problems with bias in reported results: “Do social scientists even know anything?” Failed replications (“repligate”). Inaccurate inferences about important relationships (Type I and Type II errors). Inaccurate power analyses for future studies. To avoid these problems, researchers need tools to rigorously evaluate statistical models. The Monte Carlo method is one tool that can be used to evaluate bias in model estimates
Publisher Location
Las Vegas (Nev.)
Publication Date
4-23-2018
Publisher
9th Annual GCUA Graduate Research Symposium
Language
English
Controlled Subject
Monte Carlo Method
Disciplines
Criminology and Criminal Justice | Legal Theory
File Format
File Size
505 KB
Recommended Citation
West, Matthew P.; Rorie, Melissa; and Cohen, Mark A., "Assessing Bias in Regression Estimates Using Monte Carlo Simulations: Examples in Criminal Justice Research" (2018). Graduate Research Symposium (2018 - present). 5.
https://digitalscholarship.unlv.edu/gcua_symposium/5
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