Zagar, Robert John and Garbarino, James and Randmark, Brad and Singh, Ishup and Kovach, Joseph and Cenzon, Emma and Benko, Michael and Tippins, Steve and G. Busch, Kenneth (2022) Study 1: 630 Domestic-Terrorist, Mass-Murdering, Spree-Shooters Differ from 623 Controls and Study 2: 15 Domestic-Terrorist, Mass-Murdering, Spree-Shooters Differ From 23 Homicidal and 36 Controls on the Standard Predictor of Violence Potential and the MMPI-2/A: Implications Are to Use Computer Tests and Machine Learning Equations. Review of European Studies, 14 (1). pp. 54-86. ISSN 1918-7173
624680d8712cb.pdf - Published Version
Download (2MB)
Abstract
Study 1: 630 Domestic-Terrorist, Mass-Murdering, Spree-Shooters Differ from 623 Controls and Study 2: 15 Domestic-Terrorist, Mass-Murdering, Spree-Shooters Differ From 23 Homicidal and 36 Controls on the Standard Predictor of Violence Potential and the MMPI-2/A: Implications Are to Use Computer Tests and Machine Learning Equations Robert John Zagar James Garbarino Brad Randmark Ishup Singh Joseph Kovach Emma Cenzon Michael Benko Steve Tippins Kenneth G. Busch
Study 1: 630 spree-shooters [1936-2021] (1,650 deaths; 3,123 injuries; 194 suicides [31%]), 623 controls logistic regression differences (F= 260.44, df=10/1242, R=.82, R2 =.68, p<.01): (1) homicidal ideation; (2) planning-preparation; (3) stressful-life-event; (4) revenge-motive; (5) acquired-multiple-weapons; (6) elicited-concern; (7) school-location; (8) personal-grievance; (9) suicide; (10) current-student. Study 2: 15 spree-shooters differences, adult, teen: [SP] violence (F=17.48, 123.09); [MMPI-2/A] infrequency (F=92.15, 17.22); lie (F=13.13, 33.91); depression (F=37.76, 26.18); psychopathic-deviance (F=44.66, 57.45); paranoia (F=50.58, 23.92); schizophrenia (F=53.85, 21.69); alcohol (F=42.01, 16.84); addiction (F=57.34, 38.88) compared with 23 homicidal, 36 controls. Spree-shooter loss (1936-2021) = [$2,416,042,490 (630 @ $3,834,988.08) + $6,327,730,332 (1,650 @ $3,834,988.08) + $105,474,702.96 (3,123 @ $33,773.52) = $8,849,247,525.36] + [insurance, tax-increases $11,504,021,782.97 ($8,849,247,525.36 x 1.3] =$20,353,269,308.33. Projecting 2021 to 2105 insurance industry with no computer tests, machine learning equations, $40,706,538,616.66, 3,330 deaths, 6,246 injuries, 388 suicides. Projecting 2017 U.S. Church pedophilia loss (2012-2037, 2038-2056, 2057-2082, 2083-2107), $5,719,865,400 x 5 = $28,599,327,000, 5,679 x 5 = 28,395 victims.
02 28 2022 54 https://creativecommons.org/licenses/by/4.0 10.5539/res.v14n1p54 https://ccsenet.org/journal/index.php/res/article/view/0/46835 https://ccsenet.org/journal/index.php/res/article/download/0/0/46835/50075 https://ccsenet.org/journal/index.php/res/article/download/0/0/46835/50075
Item Type: | Article |
---|---|
Subjects: | Open Digi Academic > Multidisciplinary |
Depositing User: | Unnamed user with email support@opendigiacademic.com |
Date Deposited: | 07 Jul 2023 04:06 |
Last Modified: | 18 May 2024 08:08 |
URI: | http://publications.journalstm.com/id/eprint/1312 |