Understanding factors predicting violent recidivism

Recidivism studies had acknowledged the importance of extending one’s understanding beyond general recidivism, given that findings had shown associated factors to differ across specific offence types. While violent offending had been associated with significant negative consequences and high social...

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主要作者: Phua, Hong Ling
其他作者: Ho Moon-Ho Ringo
格式: Thesis-Master by Research
語言:English
出版: Nanyang Technological University 2022
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在線閱讀:https://hdl.handle.net/10356/155201
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spelling sg-ntu-dr.10356-1552012023-03-05T15:52:56Z Understanding factors predicting violent recidivism Phua, Hong Ling Ho Moon-Ho Ringo School of Social Sciences HOmh@ntu.edu.sg Social sciences::Psychology Recidivism studies had acknowledged the importance of extending one’s understanding beyond general recidivism, given that findings had shown associated factors to differ across specific offence types. While violent offending had been associated with significant negative consequences and high social cost, there was a lack of studies looking at the relationship of associated factors with violent recidivism among local adults. The current study aimed to examine factors predicting violent recidivism among local offenders who were released from custody. As other recidivism studies had suggested potential differences between first time and repeated offenders, the current study splits the analysis to examine the groups separately. A combination of methodologies including logistic regression, dominance analysis, random forest, and generalized estimating equations had been utilized. Results had showed that there were significant similarities and differences between the first timers and the non-first timers. Variable importance plots extracted had also suggested that some variables were more significant than the others. However, the results also proposed that the models lacked the overall efficiency to clearly distinguish between the recidivists and non-recidivists, possibly due to the lack of effective variables to further provide distinctions between the two groups. As the current study had only examined criminal history, demographic variables, and several social proxies, further studies could build on it to include additional dynamic and psychological measures that were also suggested to be key factors in predicting violent recidivism. On top of risk factors, protective factors could also be incorporated for a more holistic understanding of violent recidivism. Master of Arts 2022-02-11T02:20:18Z 2022-02-11T02:20:18Z 2021 Thesis-Master by Research Phua, H. L. (2021). Understanding factors predicting violent recidivism. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/155201 https://hdl.handle.net/10356/155201 10.32657/10356/155201 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Psychology
spellingShingle Social sciences::Psychology
Phua, Hong Ling
Understanding factors predicting violent recidivism
description Recidivism studies had acknowledged the importance of extending one’s understanding beyond general recidivism, given that findings had shown associated factors to differ across specific offence types. While violent offending had been associated with significant negative consequences and high social cost, there was a lack of studies looking at the relationship of associated factors with violent recidivism among local adults. The current study aimed to examine factors predicting violent recidivism among local offenders who were released from custody. As other recidivism studies had suggested potential differences between first time and repeated offenders, the current study splits the analysis to examine the groups separately. A combination of methodologies including logistic regression, dominance analysis, random forest, and generalized estimating equations had been utilized. Results had showed that there were significant similarities and differences between the first timers and the non-first timers. Variable importance plots extracted had also suggested that some variables were more significant than the others. However, the results also proposed that the models lacked the overall efficiency to clearly distinguish between the recidivists and non-recidivists, possibly due to the lack of effective variables to further provide distinctions between the two groups. As the current study had only examined criminal history, demographic variables, and several social proxies, further studies could build on it to include additional dynamic and psychological measures that were also suggested to be key factors in predicting violent recidivism. On top of risk factors, protective factors could also be incorporated for a more holistic understanding of violent recidivism.
author2 Ho Moon-Ho Ringo
author_facet Ho Moon-Ho Ringo
Phua, Hong Ling
format Thesis-Master by Research
author Phua, Hong Ling
author_sort Phua, Hong Ling
title Understanding factors predicting violent recidivism
title_short Understanding factors predicting violent recidivism
title_full Understanding factors predicting violent recidivism
title_fullStr Understanding factors predicting violent recidivism
title_full_unstemmed Understanding factors predicting violent recidivism
title_sort understanding factors predicting violent recidivism
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/155201
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