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Michael TenEyck
Researcher at University of Texas at Arlington
Publications - 14
Citations - 325
Michael TenEyck is an academic researcher from University of Texas at Arlington. The author has contributed to research in topics: Poison control & Peer group. The author has an hindex of 8, co-authored 14 publications receiving 266 citations. Previous affiliations of Michael TenEyck include University of Texas at Austin & University of Cincinnati.
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The effect of medical marijuana laws on crime: evidence from state panel data, 1990-2006.
TL;DR: Analysis of association between state MML and state crime rates for all Part I offenses collected by the FBI did not indicate a crime exacerbating effect of MML on any of the Part II offenses, and findings run counter to arguments suggesting the legalization of marijuana for medical purposes poses a danger to public health.
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How Powerful is the Evidence in Criminology? On Whether We Should Fear a Coming Crisis of Confidence
TL;DR: A crisis of confidence has struck the behavioral and social sciences as mentioned in this paper and a key factor driving the crisis is the low levels of statistical power in many studies, which is problematic because it lea...
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Examining the impact of peer group selection on self-reported delinquency: a consideration of active gene-environment correlation
Michael TenEyck,J. C. Barnes +1 more
TL;DR: In this paper, the authors examined the impact of a direct measure of peer delinquency on self-reported delinquency while controlling for active gene-environment correlation (rGE), which occurs when one selects into an environment based on genetic propensities.
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Indicators of domestic/intimate partner violence are structured by genetic and nonshared environmental influences.
TL;DR: Findings point to the importance of genetic factors in the etiology of IPV, which appears to "run in the family" according to social learning theories.
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A behavior genetic analysis of the tendency for youth to associate according to GPA
TL;DR: The results supported both hypotheses by showing a strong predictive relationship between the target individual's GPA and that of his/her peers and by revealing that 72% of the variance in peer group GPA was explained by genetic influences.