{"id":{"repo_id":"wvu","oai_identifier":"oai:researchrepository.wvu.edu:etd-1632"},"canonical_url":"https://search.dev.ndltd.org/etd/wvu/oai:researchrepository.wvu.edu:etd-1632","repository":{"repo_id":"wvu","name":"West Virginia University","base_url":"https://researchrepository.wvu.edu/do/oai/"},"display":{"title":"Psychological Measures to Predict Serious Prison Violence","abstract":"With 2.2 million adults incarcerated throughout the United States (Glaze & Herberman, 2013), prisons are crowded, volatile environments susceptible to violence. Prior research has identified demographic and criminal variables that consistently predict prison violence. The purpose of this study was to investigate the utility of psychological variables to predict prison violence among 180 inmates from a state prison in West Virginia. The psychological variables studied included history of mental illness and results from psychological assessments (Beta-III, MMPI-2-RF, TCU Drug Screen II). Using a logistic regression analysis, history of mental illness and the MMPI-2-RF scale of Psychoticism accurately predicted violent inmates from non-violent inmates while controlling for demographic and criminal variables. A weighted measure of violence severity was calculated and a multiple regression analysis was conducted. In the final model, mental health history significantly predicted Violence Severity Index scores. Hierarchical cluster analysis identified three meaningful groups of violent inmates based on the five MMPI-2-RF personality psychopathology scales. Eleven inmates were characterized by high scores on Psychoticism and Negative Emotionality/Neuroticism. Another cluster of 15 inmates were defined by high scores on the Aggressiveness and Disconstraint (e.g., risk-taking, impulsivity) scales. The third group had low scores on these four scales and had moderate scores on Low Positive Emotionality/Introversion. The results of this study support the conclusion that psychological variables have utility in predicting prison violence, but more research is needed to continue understanding this relationship.","abstract_html":"With 2.2 million adults incarcerated throughout the United States (Glaze & Herberman, 2013), prisons are crowded, volatile environments susceptible to violence. Prior research has identified demographic and criminal variables that consistently predict prison violence. The purpose of this study was to investigate the utility of psychological variables to predict prison violence among 180 inmates from a state prison in West Virginia. The psychological variables studied included history of mental illness and results from psychological assessments (Beta-III, MMPI-2-RF, TCU Drug Screen II). Using a logistic regression analysis, history of mental illness and the MMPI-2-RF scale of Psychoticism accurately predicted violent inmates from non-violent inmates while controlling for demographic and criminal variables. A weighted measure of violence severity was calculated and a multiple regression analysis was conducted. In the final model, mental health history significantly predicted Violence Severity Index scores. Hierarchical cluster analysis identified three meaningful groups of violent inmates based on the five MMPI-2-RF personality psychopathology scales. Eleven inmates were characterized by high scores on Psychoticism and Negative Emotionality/Neuroticism. Another cluster of 15 inmates were defined by high scores on the Aggressiveness and Disconstraint (e.g., risk-taking, impulsivity) scales. The third group had low scores on these four scales and had moderate scores on Low Positive Emotionality/Introversion. The results of this study support the conclusion that psychological variables have utility in predicting prison violence, but more research is needed to continue understanding this relationship.","abstract_has_math":false,"creators":["Schenk, Allison M."],"institution":null,"degree_name":"PhD","degree_level":"Dissertation","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["William Fremouw","Nicholas Bowman","Thomas Horacek","Kevin Larkin","Aaron Metzger","Natalie Shook"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-05-01T07:00:00Z","date_published":"2014-05-01T07:00:00Z","updated_at":"2026-07-24T06:14:46Z","subjects":["Clinical psychology","Criminology"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://researchrepository.wvu.edu/etd/629"],"render_values":[{"text":"https://researchrepository.wvu.edu/etd/629","href":"https://researchrepository.wvu.edu/etd/629","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.33915/etd.629","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["William Fremouw","Nicholas Bowman","Thomas Horacek","Kevin Larkin","Aaron Metzger","Natalie Shook"]},{"key":"dc:creator","label":"Author","values":["Schenk, Allison M."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2019-01-17T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["PhD"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Clinical psychology","Criminology"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.33915/etd.629","https://researchrepository.wvu.edu/etd/629"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["With 2.2 million adults incarcerated throughout the United States (Glaze & Herberman, 2013), prisons are crowded, volatile environments susceptible to violence. Prior research has identified demographic and criminal variables that consistently predict prison violence. The purpose of this study was to investigate the utility of psychological variables to predict prison violence among 180 inmates from a state prison in West Virginia. The psychological variables studied included history of mental illness and results from psychological assessments (Beta-III, MMPI-2-RF, TCU Drug Screen II). Using a logistic regression analysis, history of mental illness and the MMPI-2-RF scale of Psychoticism accurately predicted violent inmates from non-violent inmates while controlling for demographic and criminal variables. A weighted measure of violence severity was calculated and a multiple regression analysis was conducted. In the final model, mental health history significantly predicted Violence Severity Index scores. Hierarchical cluster analysis identified three meaningful groups of violent inmates based on the five MMPI-2-RF personality psychopathology scales. Eleven inmates were characterized by high scores on Psychoticism and Negative Emotionality/Neuroticism. Another cluster of 15 inmates were defined by high scores on the Aggressiveness and Disconstraint (e.g., risk-taking, impulsivity) scales. The third group had low scores on these four scales and had moderate scores on Low Positive Emotionality/Introversion. The results of this study support the conclusion that psychological variables have utility in predicting prison violence, but more research is needed to continue understanding this relationship."]},{"key":"dc:title","label":"Title","values":["Psychological Measures to Predict Serious Prison Violence"]}]}],"canonical_facts":{"dc:contributor":["William Fremouw","Nicholas Bowman","Thomas Horacek","Kevin Larkin","Aaron Metzger","Natalie Shook"],"dc:creator":["Schenk, Allison M."],"dc:date.available":["2019-01-17T08:00:00Z"],"dc:description.abstract":["With 2.2 million adults incarcerated throughout the United States (Glaze & Herberman, 2013), prisons are crowded, volatile environments susceptible to violence. Prior research has identified demographic and criminal variables that consistently predict prison violence. The purpose of this study was to investigate the utility of psychological variables to predict prison violence among 180 inmates from a state prison in West Virginia. The psychological variables studied included history of mental illness and results from psychological assessments (Beta-III, MMPI-2-RF, TCU Drug Screen II). Using a logistic regression analysis, history of mental illness and the MMPI-2-RF scale of Psychoticism accurately predicted violent inmates from non-violent inmates while controlling for demographic and criminal variables. A weighted measure of violence severity was calculated and a multiple regression analysis was conducted. In the final model, mental health history significantly predicted Violence Severity Index scores. Hierarchical cluster analysis identified three meaningful groups of violent inmates based on the five MMPI-2-RF personality psychopathology scales. Eleven inmates were characterized by high scores on Psychoticism and Negative Emotionality/Neuroticism. Another cluster of 15 inmates were defined by high scores on the Aggressiveness and Disconstraint (e.g., risk-taking, impulsivity) scales. The third group had low scores on these four scales and had moderate scores on Low Positive Emotionality/Introversion. The results of this study support the conclusion that psychological variables have utility in predicting prison violence, but more research is needed to continue understanding this relationship."],"dc:identifier":["https://doi.org/10.33915/etd.629","https://researchrepository.wvu.edu/etd/629"],"dc:subject":["Clinical psychology","Criminology"],"dc:title":["Psychological Measures to Predict Serious Prison Violence"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["PhD"]},"updated_at":"2026-07-24T06:14:46Z"}