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Fawn T. Ngo
Researcher at University of South Florida
Publications - 25
Citations - 490
Fawn T. Ngo is an academic researcher from University of South Florida. The author has contributed to research in topics: Stalking & Poison control. The author has an hindex of 11, co-authored 25 publications receiving 415 citations. Previous affiliations of Fawn T. Ngo include University of South Florida Sarasota–Manatee.
Papers
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Journal Article
Cybercrime Victimization: An Examination of Individual and Situational Level Factors
Fawn T. Ngo,Raymond Paternoster +1 more
TL;DR: In this paper, the authors explored the effects of individual and situational factors on seven forms of cybercrime: computer virus, unwanted exposure to pornographic materials, sex solicitation, online harassment by a stranger, online harassing by a nonstranger, phishing and online defamation.
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Life domains and crime: A test of Agnew's general theory of crime and delinquency
TL;DR: This paper examined whether each of the five life domain variables at the core of Agnew's theory is related to recidivism, whether there is a non-linear relationship between the life domains and recrievability, and whether the five domains interact in causing recidivency.
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Toward an Understanding of the Emotional and Behavioral Reactions to Stalking: A Partial Test of General Strain Theory
Fawn T. Ngo,Raymond Paternoster +1 more
TL;DR: This paper examined whether specific types of stalking experiences trigger specific negative emotional states and whether specific negative emotions are in turn associated with specific non-criminal coping mechanisms and found that feeling annoyed/angry is significantly associated with noncriminal coping strategies.
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Assessing the Predictive Utility of Logistic Regression, Classification and Regression Tree, Chi-Squared Automatic Interaction Detection, and Neural Network Models in Predicting Inmate Misconduct
TL;DR: This study assesses the relative utility of a traditional regression approach - logistic regression (LR) - and three classification techniques - classification and regression tree, chi-squared automatic interaction detection (CHAID), and multi-layer perceptron neural network (MLPNN)—in predicting inmate misconduct.
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Stalking: an examination of the correlates of subsequent police responses
TL;DR: This article examined the correlates of nine specific police actions (no action, multiple actions, took a report, talked to perpetrator, arrested perpetrator, recommended PO or RO, recommended self-protection, referred to prosecutor's office and referred to social services) to the crime of stalking.