TY - JOUR
T1 - Finding workers, offenders, or students most at-risk for violence
T2 - Actuarial tests save lives and resources
AU - Zagar, Robert John
AU - Kovach, Joseph W.
AU - Basile, Brother Benjamin
AU - Hughes, John Russell
AU - Grove, William M.
AU - Busch, Kenneth G.
AU - Zablocki, Michael
AU - Osnowitz, William
AU - Neuhengen, Jonas
AU - Liu, Yutong
AU - Zagar, Agata Karolina
PY - 2013/12
Y1 - 2013/12
N2 - 147 adults (107 men, 40 women) and 89 adolescents (61 boys, 28 girls), selected randomly from referrals and volunteers, were given the Ammons Quick Test (QT), the Beck Suicide Scale (BSS), the Minnesota Multiphasic Personality Inventory Second (MMPI-2) or Adolescent Versions (MMPI-A), the Raven's Advanced Progressive Matrices, and the Standard Predictor (SP) of Violence Potential Adult or Adolescent Versions. The goals were to: (a) demonstrate computer and paper-and-pencil tests correlated; (b) validate tests to identify at-risk for violence; (c) show that identifying at-risk saves lives and resources; and (d) find which industries benefited from testing at-risk. Paper-and-pencil vs. computer test correlations (.83-.99), sensitivity (.97-.98), and specificity (.50-.97) were computed. Testing at-risk saves lives and resources. Critical industries for testing at-risk individuals may include airlines, energy generating industries, insurance, military, nonprofit-religious, prisoners, trucking or port workers, and veterans.
AB - 147 adults (107 men, 40 women) and 89 adolescents (61 boys, 28 girls), selected randomly from referrals and volunteers, were given the Ammons Quick Test (QT), the Beck Suicide Scale (BSS), the Minnesota Multiphasic Personality Inventory Second (MMPI-2) or Adolescent Versions (MMPI-A), the Raven's Advanced Progressive Matrices, and the Standard Predictor (SP) of Violence Potential Adult or Adolescent Versions. The goals were to: (a) demonstrate computer and paper-and-pencil tests correlated; (b) validate tests to identify at-risk for violence; (c) show that identifying at-risk saves lives and resources; and (d) find which industries benefited from testing at-risk. Paper-and-pencil vs. computer test correlations (.83-.99), sensitivity (.97-.98), and specificity (.50-.97) were computed. Testing at-risk saves lives and resources. Critical industries for testing at-risk individuals may include airlines, energy generating industries, insurance, military, nonprofit-religious, prisoners, trucking or port workers, and veterans.
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U2 - 10.2466/16.03.PR0.113x29z3
DO - 10.2466/16.03.PR0.113x29z3
M3 - Article
C2 - 24693807
AN - SCOPUS:84893611973
SN - 0033-2941
VL - 113
SP - 685
EP - 716
JO - Psychological reports
JF - Psychological reports
IS - 3
ER -
