Assessing Bias in Regression Estimates Using Monte Carlo Simulations: Examples in Criminal Justice Research

Authors

Matthew P. West, University of Nevada, Las VegasFollow
Melissa Rorie, University of Nevada, Las VegasFollow
Mark A. Cohen, University of Nevada, Las Vegas

Files

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

pdf

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

Rights

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