Grade Level Distinctions in Student Threats of Violence

Slides:



Advertisements
Similar presentations
1 Avalaura L. Gaither and Eric C. Newburger Population Division U.S. Census Bureau Washington, D.C. June 2000 Population Division Working Paper No. 44.
Advertisements

PREDICTORS OF DIABETIC WOUND HEALING BY RACIAL/ETHNIC CATEGORIES Ranjita Misra 1, Lynn Lambert 2, David Vera 3, Ashley Mangaraj 3, Suchin R Khanna 3, Chandan.
1 Leanna Stiefel and Amy Ellen Schwartz Faculty, Wagner Graduate School and Colin Chellman Research Associate, Institute for Education and Social Policy.
Increasing Alternative Sentencing in the Juvenile Justice System Through a Partnership Between Public Defenders and Social Workers National Organization.
The Discrepancy-Depression Association: Gender and Grade Differences Erin N. Stevens, M. C. Lovejoy, & Laura D. Pittman Northern Illinois University Introduction:
EVENT LEVEL: Sex obtained through aggression will frequently be unprotected GLOBAL LEVEL: Men who have perpetrated sexual aggression will be more likely.
Adolescent romantic relationships and substance abuse: The benefits of thinking it will last forever J. Claire Stephenson, David E. Szwedo, Joseph P. Allen.
1 End of Life Expenditure Patterns for Medicaid Eligible Infants and Children Caprice Knapp, PhD Lindsay Thompson, MD MS Bruce Vogel, PhD Elizabeth Shenkman,
Mortality and Life Expectancy after Traumatic Brain Injury: The Influence of Demographic, Etiology, Discharge Disability, and Socio-environmental Factors.
Shane Lloyd, MPH 2011, 1,2 Annie Gjelsvik, PhD, 1,2 Deborah N. Pearlman, PhD, 1,2 Carrie Bridges, MPH, 2 1 Brown University Alpert Medical School, 2 Rhode.
Dr. Abednego Musau. School violence is widely held to have become a serious problem in recent decades in many countries. It includes violence between.
Introduction Introduction Alcohol Abuse Characteristics Results and Conclusions Results and Conclusions Analyses comparing primary substance of abuse indicated.
Introduction Results and Conclusions On demographic variables, analyses revealed that ATR clients were more likely to be Hispanic and employed, whereas.
Are Young Adolescents’ Social and Emotional Skills Protective Are Young Adolescents’ Social and Emotional Skills Protective Against Involvement in Bullying.
Stephen Nkansah-Amankra, PhD, MPH, MA 1, Abdoulaye Diedhiou, MD, PHD, H.L.K. Agbanu, MPhil, Curtis Harrod, MPH, Ashish Dhawan, MD, MSPH 1 University of.
I removed the quit attempt variable from the adjusted model. I removed the quit attempt variable from the adjusted model.e Sarah Kowitt, MPH 1 ; Tanha.
An Evaluation of Pipeline Interventions for Minority Scholars An Evaluation of Pipeline Interventions for Minority Scholars Roberta Spalter-Roth, Jean.
Clare Meernik, MPH 1 ; Anna McCullough, MSW, MSPH, CTTS 1 ; Leah Ranney, PhD 1 ; Barbara Walsh 2 ; Adam O. Goldstein, MD, MPH 1 Predictors of Quit for.
138 th American Public Health Association Annual Meeting Denver, Colorado November 8, 2010 Determinants of HIV Testing Among High School Students with.
ABSTRACT According to the theory of procedural justice, the act of law enforcement communicating with the public in an aggressive or coercive manner (e.g.
Trends in Access to Substance Abuse Treatment for Women and Men: Jeanne C. Marsh, PhD, Hee-Choon Shin, PhD, Dingcai Cao, PhD University of Chicago.
SSDS Inc. Intentional injury in the U.S. Army: Is a college education the answer? Nicole S. Bell, ScD, MPH Thomas C. Harford, PhD Social Sectors Development.
What Factors Influence Early Sexual Debut amongst Youth: Comparative Evidence from Nigeria and India ICASA 2011 Babatunde.O, Temitope.F, Imoisili.A, Alabi.F.
Generalized Logit Model
DISCUSSION & CONCLUSIONS
Race and the Relationship to Juvenile Adjudication
Nation’s First Collaborative School of Public Health
Adverse Childhood Experiences, Traumatic Brain Injury, and Disruptive Behavior Disorders: Results From the 2011 National Survey of Children's Health Timothy.
Percentage of High School Students Who Rarely or Never Wore a Seat Belt,* by Sex, Grade, and Race/Ethnicity, 2016 Data for this slide are from the 2016.
U.S. Minorities and Arrest Risk: Race, Ethnic, and Regional Effects
Mesfin S. Mulatu, Ph.D., M.P.H. The MayaTech Corporation
Disparities in process and outcome measures among adults with persistent asthma David M. Mosen, PhD, MPH; Michael Schatz, MD, MS; Rachel Gold, PhD; Winston.
A Comparison of Two Nonprobability Samples with Probability Samples
Increased Physical Activity And Senior Center Participation
Criminal Justice Association of Georgia Annual Conference
UCSF Fresno Family and Community Medicine Dept.
Hsiao-ye Yi, Ph.D.;1 Ralph W. Hingson, Sc.D.;2
Associations between Depression and Obesity: Findings from the National Health and Nutrition Examination Survey, Arlene Keddie, Ph.D. Assistant.
Teen Dating Violence Within and Outside Honor Cultures
Erin Green, RD;  Alisha Gaines, PhD; Jamie S Dollahite, PhD
Prevalence of intimate partner violence among urban, suburban, and rural females Penelope Baughman, MPA, MPH Ekta Choudhary, MS, MPH Robert Bossarte, PhD.
What Do Drawing Tasks Measure In Serious Mental Illness?
Lung Cancer Screening: Do Individual Health Beliefs Matter?
Age at First Measles-Mumps-Rubella Vaccination in Children with Autism and School-matched Controls: A Population-Based Study in Metropolitan Atlanta F.
Believed discrimination occurred because of their:
2016 Annual Data Report, Vol 2, ESRD, Ch 4
V C U Differences in Food Intake and Exercise by Smoking Status in Middle and High School Students Diane B. Wilson*, EdD, RD, Brian N. Smith, PhD, Ilene.
Adolescent Attitudes Towards Smoking and Weight Loss:
Is High School GPA a Predictor of College Student Success?
Examining the Utility of the Theory of Planned Behavior
Percentage of High School Students Who Rarely or Never Wore a Seat Belt,* by Sex,† Grade, and Race/Ethnicity, 2017 Data for this slide are from the 2017.
Percentage of High School Students Who Rarely or Never Wore a Bicycle Helmet,* by Sex,† Grade, and Race/Ethnicity,† 2015 Data for this slide are from the.
Percentage of High School Students Who Rarely or Never Wore a Seat Belt,* by Sex,† Grade, and Race/Ethnicity,† 2017 Data for this slide are from the 2017.
Doyle M. Cummings, Pharm.D.,FCP, FCCP
Percentage of High School Students Who Rarely or Never Wore a Bicycle Helmet,* by Sex, Grade, and Race/Ethnicity, 2015 Data for this slide are from the.
NM OSAP Recipients Meeting August 29, 017
Helen Zaikina-Montgomery, Ph.D. Scott Burrus, Ph.D.
Racial Disproportionality in Identification of Behavioral Disorders: A Longitudinal Analysis of Contextual Factors AERA Annual Meting April 12, 2016.
Peng-jun Lu, MD, PhD1; Mei-Chun Hung, MPH, PhD1,2 ; Alissa C
Youth Risk Behavior Survey
An Introduction to Correlational Research
Illinois Coalition Against Sexual Assault – Sean Black
School Security Personnel and Student Arrests
Epidemiology of exercise and physical activity
Percentage of High School Students Who Rarely or Never Wore a Bicycle Helmet,* by Sex,† Grade, and Race/Ethnicity,† 2015 Data for this slide are from the.
M Javanbakht, S Guerry, LV Smith, P Kerndt
Kristyn A. Jones; Therese L. Todd; and Preeti Chauhan, PhD
Chapter 2 The Incidence of Crime
American Public Health Association San Francisco, California
MSM Attending STD Clinics HIV Testing More Frequently: Implications for HIV Prevention and Surveillance D Helms1, H Weinstock1, K Mahle1, A Shahkolahi1,2,
Presentation transcript:

Grade Level Distinctions in Student Threats of Violence Anna Grace Burnette, Tim Konold, and Dewey Cornell University of Virginia Virginia Youth Violence Project http://youthviolence.edschool.virginia.edu Abstract Student threat assessment (TA) is a violence prevention practice that is expanding substantially with federal training funds from the STOP School Violence Act of 2018. Although student TA should take into consideration developmental differences across grades K-12, research in this area is limited. This study investigated grade-level differences in a statewide sample of 3,282 threat assessment cases from 1,021 Virginia schools. Student threats of violence significantly differed across grade level in 1) student demographics, 2) threat characteristics, and 3) outcome. Overall, these findings indicate that there are substantial differences in threats of violence across grades, and that schools should make grade-differentiated responses. Rationale TA has emerged as a specialized form of violence risk assessment that is conducted when a person threatens to carry out a specific targeted act within a relatively short timeframe. When used in school settings, TA teams must consider developmental factors such as the maturity and capability of students making a threat. Gender and race/ethnicity are also salient factors to consider. Research Question How do threats of violence differ in prevalence, characteristics, and outcome across grade? Method Virginia law mandated schools to report TA data in an annual school survey conducted by the Department of Criminal Justice Services. We examined statewide records for schools reporting threats across two school years (2013-14 and 2014-15). The analytic sample included 3,282 student threat assessment cases from 1,021 Virginia public schools: 548 (54%) elementary schools, 240 (24%) middle schools, and 233 (23%) high schools. The racial/ethnic breakdown was 51% White, 31% Black, 8% Hispanic, and 10% Other. Most threats (78%) were made by boys. Students making threats ranged from kindergarten to grade 12; the mean grade was 6 and the modal grade was 5. Measures. Threat characteristics included whether the student threatened the use of a weapon (or was in possession of a weapon), student history of violence and/or prior disciplinary actions, threat to kill, threat to bomb the school, and threat to physically assault an individual without a weapon. Threat outcomes included attempts to complete the threat (attempted and carried out threats were combined due to low frequencies). Analytic Strategy. Six logistic regression models demonstrated the association of threat characteristics or threat outcome (dependent variables) with student grade-level (continuous, independent variable). Each model controlled for student gender, race, and special education status. Clustered robust standard errors were used to account for student nesting in schools. The n for all charts is 3,268. Results Figures 1-6 depict distribution of threats by student demographics, selected characteristics, and outcome (threat attempted). Although 4th and 5th grade students made the most threats, they were less likely to attempt to carry out the threat compared to 9th grade students (Figure 6, Table 1). Linear and nonlinear logistic regression models examined the relations between predictors and student grade (Table 1). There was a linear increase in physical assaults across grades K-9 but a nonlinear pattern for attempted threats (Table 1). As grade increased, girls were less likely compared to boys to threaten the use of a weapon (OR = 0.72, p < .01), to have a history of violence and/or disciplinary actions (OR = 0.59, p < .001), and to make a bomb threat (OR = 0.46, p < .001), but more likely to threaten physical assault (i.e., hit, fight, kick, strangle; OR = 1.50, p < .001). Black (OR = 0.59, p < .01) and Hispanic students (OR = 0.37, p < .001) were less likely to threaten to bomb the school compared to white students. Black students were also less likely to make a threat to kill (OR = 0.79, p < .05), but more likely to have a history of violence (OR = 1.52, p < .001) and to threaten physical assault (OR = 1.71, p < .001) compared to white students. Students in special education were two times more likely to have a history of violence (OR = 2.62, p < .001). Students were more likely to have a history of violence (OR = 1.03, p < .05) or threaten to physically assault someone (OR = 1.11, p < .001) as grade level increased. Student threats to bomb the school were not distinguishable by grade level. Regarding threat outcome, the variability in students that attempted and/or carried out threats was attributable to curvilinear effects of grade level (OR = 1.02, p < .05). Specifically, threats were more likely to be attempted as students increased in grade level during early elementary and high school, but decreased after the 9th grade. Discussion An important limitation is that a retrospective and cross-sectional study cannot establish causal relationships. In addition, these data are based on student grade level rather than chronological age, which was not available for study. Student threats of violence are distinguishable by grade level across threat characteristics and outcome. These findings can help TA teams recognize the role of developmental differences in the nature and frequency of threats. Figure 1. Threats by Gender Across Grade Level Figure 2. Threats by Race OHI 9% Regular Ed 36% ED 38% ED 38% Figure 3. Threats by SPED Figure 4. History of Violence 80% Figure 5. Physical Assault Figure 6. Attempted Threats Table 1. Logistic Regression Odds Ratio for Threat Characteristics and Outcome Notes Further information and cited references are available from the author: burnette923@gmail.com. This project was supported in part by Grant #NIJ 2014-CK-BX-0004 awarded by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. The opinions, findings, and conclusions or recommendations expressed in this report are those of the authors and do not necessarily reflect those of the U.S. Department of Justice or the Virginia Department of Criminal Justice Services Predictors   Weapon Involvement History of Violence Threat to Kill Bomb Threat Physical Altercation Attempted Threat OR SE Student-level variables Female1,2 0.72** 0.09 0.59*** 0.06 1.14 0.13 0.46*** 0.14 1.50** 0.18 1.32 0.31 Black3 0.94 0.11 1.52*** 0.15 0.79* 0.59** 1.71*** 0.21 1.52 0.34 Hispanic3 1.48 0.26 0.93 0.74 0.37*** 0.17 1.15 0.24 0.79 0.35 Other3,4 1.06 0.19 0.67*** 0.81 0.88 0.27 0.70* 0.64 0.28 SPED Status5,6 0.98 0.10 2.62*** 0.23 1.13 0.22 1.22 1.62 Grade Level7 0.95** 0.02 1.03* 0.01 1.00 0.03 1.11*** Grade Level Squared -- 1.02* Note. *p < .05. **p < .01. ***p < .001. 1Male is the reference group. 2Due to some schools failing to report the student’s gender, researchers controlled for unknown gender. 3White is the reference group. 4Other includes Asian, mixed race, other, or unknown. 5Students identified as non-special education is the reference group. 6Due to some schools failing to report the student’s special education status, researchers controlled for unknown special education status. 7Fourteen cases out of 3,282 (i.e., <1%) were missing. All results used cluster robust standard errors.