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The Inter-rater Reliability and Pred...
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Northcentral University.
The Inter-rater Reliability and Predictive Validity of a Structured Professional Judgment Violence Risk Assessment Tool in Workplace Environments.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
The Inter-rater Reliability and Predictive Validity of a Structured Professional Judgment Violence Risk Assessment Tool in Workplace Environments./
作者:
Cawood, James S.
面頁冊數:
1 online resource (150 pages)
附註:
Source: Dissertation Abstracts International, Volume: 77-08(E), Section: B.
Contained By:
Dissertation Abstracts International77-08B(E).
標題:
Organizational behavior. -
電子資源:
click for full text (PQDT)
ISBN:
9781339597720
The Inter-rater Reliability and Predictive Validity of a Structured Professional Judgment Violence Risk Assessment Tool in Workplace Environments.
Cawood, James S.
The Inter-rater Reliability and Predictive Validity of a Structured Professional Judgment Violence Risk Assessment Tool in Workplace Environments.
- 1 online resource (150 pages)
Source: Dissertation Abstracts International, Volume: 77-08(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
Violence risk assessment (VRA) is an essential forensic focus, driven by courts and workplaces tasked with identifying individuals who may pose a risk of harm to others, in the hope that identification and intervention will decrease the number of violent acts. Structured professional judgment (SPJ) VRA tools have improved the predictive validity of violence risk assessments in correctional and mental health populations. These tools are designed by selecting and categorizing risk factors that reflect the biological, psychological, sociological, contextual, and environmental (BPSCE) theory of human violence. However, although SPJ based VRA tools are used in everyday workplaces to make important risk and employment decisions, no tool has been tested for inter-rater reliability and predictive validity in these environments. Therefore, this quantitative postdictive study tested the extent of these properties to close a gap in the existing empirical literature related to SPJ VRA tools, while also providing insight into the degree of influence the environmental element of the BPSCE theory may have. Using the HCR-20v3, the latest version of the most utilized SPJ VRA tool in the world, a sample of 40 known outcome (violent and non-violent) case summaries, representing a range of untested workplace environments, were evaluated by coders blind to outcome. The results were statistically significant for both inter-rater reliability (ICC = .72, 95% CI: .58-.83, p < .001.) and predictive validity (AUC = .70, 95% CI: .61-.80, p < .001.), and demonstrated a good level of reliability and a moderate level of predictive validity, similar to levels of these measures found for the HCR-20v3 with other samples from more restrictive environments. These findings suggest that the environmental element of the BPSCE theory of human violence is not as influential as other elements of this theory, as operationalized in this SPJ VRA tool, while also providing new empirical evidence that the HCR-20v3 can be used ethically in standard workplace environments. It is recommended that further research replicating these results with larger samples and comparison of these findings with those from previously untested SPJ VRA tools that have been especially designed for use in common workplaces would be beneficial.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781339597720Subjects--Topical Terms:
557544
Organizational behavior.
Index Terms--Genre/Form:
554714
Electronic books.
The Inter-rater Reliability and Predictive Validity of a Structured Professional Judgment Violence Risk Assessment Tool in Workplace Environments.
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Violence risk assessment (VRA) is an essential forensic focus, driven by courts and workplaces tasked with identifying individuals who may pose a risk of harm to others, in the hope that identification and intervention will decrease the number of violent acts. Structured professional judgment (SPJ) VRA tools have improved the predictive validity of violence risk assessments in correctional and mental health populations. These tools are designed by selecting and categorizing risk factors that reflect the biological, psychological, sociological, contextual, and environmental (BPSCE) theory of human violence. However, although SPJ based VRA tools are used in everyday workplaces to make important risk and employment decisions, no tool has been tested for inter-rater reliability and predictive validity in these environments. Therefore, this quantitative postdictive study tested the extent of these properties to close a gap in the existing empirical literature related to SPJ VRA tools, while also providing insight into the degree of influence the environmental element of the BPSCE theory may have. Using the HCR-20v3, the latest version of the most utilized SPJ VRA tool in the world, a sample of 40 known outcome (violent and non-violent) case summaries, representing a range of untested workplace environments, were evaluated by coders blind to outcome. The results were statistically significant for both inter-rater reliability (ICC = .72, 95% CI: .58-.83, p < .001.) and predictive validity (AUC = .70, 95% CI: .61-.80, p < .001.), and demonstrated a good level of reliability and a moderate level of predictive validity, similar to levels of these measures found for the HCR-20v3 with other samples from more restrictive environments. These findings suggest that the environmental element of the BPSCE theory of human violence is not as influential as other elements of this theory, as operationalized in this SPJ VRA tool, while also providing new empirical evidence that the HCR-20v3 can be used ethically in standard workplace environments. It is recommended that further research replicating these results with larger samples and comparison of these findings with those from previously untested SPJ VRA tools that have been especially designed for use in common workplaces would be beneficial.
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