Eugene Wang, Ph. D.
TTU Community, Family, and Addiction Sciences
Eugene Wang, Ph. D.
Dr. Eugene Wang is the owner of Wang Evaluation & Data Science Consultant, LLC., and an Associate Professor in The College of Human Sciences. He received his Bachelor’s and Master’s degrees in Psychology from East Texas State University and his Ph.D. in Psychology from Texas A&M-Commerce. His research areas have a broad focus on individuals with emotional and behavioral disorders, assessment of risk (particularly violence risk), and strategies for reducing interpersonal violence. He is particularly interested in implementation of positive behavioral interventions and supports (PBIS) in at-risk populations, such as incarcerated youth.
Major: Psychology; Minor: Music
Thesis: The effects of frequency of messaging and list source on overt and covert attempts at affiliation in computer-mediated discussion lists.
Major: Psychology; Minor: Special Education (1998)
Dissertation: The use of structural modeling techniques to predict violence potential in mentally ill male prisoners.
Areas of Expertise
(*): Denotes current or former student
Brown, C. C., Wang, E. W., & *Goad, C. (2022). The Child and Adolescent Needs and Strengths (CANS): A review of existing academic research and literature. Residential Treatment for Children and Youth, 39(3), 331-346. https://www.tandfonline.com/doi/full/10.1080/0886571X.2022.2038337
*Gerber, W., *Hune, N., Kimball, T., & Wang, E. W. (2021). Tangible and intangible values of a CRP: A benefit-cost analysis. Alcoholism Treatment Quarterly, 40(2), 164-173. https://doi.org/10.1080/07347324.2021.1979437
*Bradshaw, S., Wang, E. W., *Meeks, S. F., *Chroback, K., *Hirsch, S., & *Goad, C. (2021). Alcohol and drug use screening among justice-involved persons. Alcohol Treatment Quarterly, 40, 4-21. https://doi.org/10.1080/07347324.2021.1972776
DeLucia, P. R., Woods, A. L., Kim, J.-H., Nguyen, N., Wang, E. W., & Yang, J. (2021). Learning to become researchers: Lessons learned from a Research Experience for Undergraduates (REU) program focused on research in the psychological sciences with real-world implications. Scholarship and Practice of Undergraduate Research, 4(4), 10-22. https://doi.org/10.18833/spur/4/4/6
Sprague, J., Jolivette, K., & Boden, L. J., & Wang, E. W. (2020). Implementing Positive Behavior Supports in Juvenile Corrections Settings: Results of an evaluation study. Remedial and Special Education, 4(2), 70-79. https://doi.org/10.1177/0741932519897135
*Whisner, S. M., Geddie, J. M., Sechrist, D., & Wang, E. (2019). Examination of potential factors to predict fieldwork performance: A program evaluation project. Journal of Occupational Therapy Education, 3(1), 6. https://doi.org/10.26681/jote.2019.030106
*Lambert, M. C., *Johnson, L. E., & Wang, E. W. (2017). The impact of Family Team Meetings on removals: Evidence from structural equation modeling. Children and Youth Services Review, 78, 89-92. https://doi.org/10.1016/j.childyouth.2012.01.015
Little, T. D., Wang, E. W., & *Gorrall, B. K. (2017). The past, present, and future of developmental methodology. In N. A. Card (Ed.), Monographs of the Society for Research in Child Development, 82(2), 122-139. https://doi.org/10.1111/mono.12302
*Joung, H.-W., Choi, E.-K., & Wang, E. W. (2016). Effects of perceived quality and perceived value of campus foodservice on customer satisfaction: Moderating role of gender. Journal of Quality Assurance in Hospitality and Tourism, 17(2), 101-113. https://doi.org/10.1080/1528008X.2015.1042620
*Bradshaw, S. D., Shumway, S. T., Wang, E. W., Harris, K. S., & Smith, D. (2016). Family functioning and readiness in family recovery from addiction. Journal of Groups in Addiction & Recovery, 11(1), 21-41. https://doi.org/10.1080/1556035X.2015.1104644
*Bradshaw, S. D., Shumway, S. T., Wang, E. W., & Harris, K. S., Smith, D. G., & Austin, H. (2015). Hope, readiness, and coping in family recovery from addiction. Journal of Groups in Addiction & Recovery, 10(4), 313-336. https://doi.org/10.1080/1556035X.2015.1099125
*Bradshaw, S. D., Shumway, S. T., Wang, E. W., & Harris, K. S. (2015). Addiction and the mediation of hope on craving, readiness, and coping. Journal of Groups in Addiction & Recovery, 9(4), 294-312. https://doi.org/10.1080/1556035X.2014.969062
Scheuermann, B. K., Nelson, C. M., Wang, E. W., & *Bruntmyer, T. (2015). Monitoring process and outcomes for Positive Behavior Interventions and Supports in residential settings: Better uses of data. Residential Treatment of Children and Youth, 32, 266-279. https://doi.org/10.1080/0886571X.2015.1113455
*Wei, T., Barnard-Brak, L., Wang, E. W., Sadikova, A. N., & Sodikov, D. (2015). Exploring graduate students’ attitudes towards team research and their scholarly productivity: A survey guided by the Theory of Planned Behavior. International Journal of Doctoral Studies, 10, 10-17.
*Griffin, L. K., Wang, E. W., & Hart, M. A. (2014). Measuring fitness actions and dispositions toward physical activity: Validation of a self-report instrument. The Physical Educator, 71(1), 1-15.
*Johnson, L. E., Wang, E. W., Gilinsky, N., He, Z., Carpenter, J. C., Nelson, C. M., & Scheuermann, B. K. (2013). Youth outcomes following implementation of universal SW-PBIS strategies in Texas secure juvenile facilities. Education and Treatment of Children, 36(3), 135-145.
Sprague, J. R., Scheuermann, B. K., Wang, E. W., Nelson, C. M., Jolivette, K., & Vincent, C. (2013). Adopting and adapting PBIS for secure juvenile justice settings: Lessons learned. Education and Treatment of Children, 36(3), 121-134. doi:10.1353/etc.2013.0031
Scheuermann, B. K., Duchaine, E. L., *Bruntmyer, D. T., Wang, E. W., Nelson, C. M., & Lopez, A. K. (2013). An exploratory survey of perceived value of coaching activities to support PBIS implementation in secure juvenile correctional facilities. Education and Treatment of Children, 36(3), 147-160. doi:10.1353/etc.2013.0021
Hamman, D., Wang, E. W., & Burley, H. (2013). What I expect and fear next year: Measuring new teachers’ possible selves. Journal of Education for Teaching, 39(2), 222-234. https://doi.org/10.1080/02607476.2013.765194
*Jackson, J. P., *Whisner, S. M., & Wang, E. W. (2013). A predictor model for discharge destination in inpatient rehabilitation patients. American Journal of Physical Medicine & Rehabilitation, 92(4), 343-350. doi:10.1097/PHM.0b013e318278b1df
Wang, E. W., *Lambert, M. C., *Johnson, L. E., Boudreau, B., Breidenbach, R., & Baumann, D. (2012). Expediting permanent placement from foster care systems: The role of Family Group Decision-Making. Children and Youth Services Review, 34(4), 845-850. https://doi.org/10.1016/j.childyouth.2012.01.015
Scheuermann, B. K., Nelson, C. M., Wang, E. W., & Turner, M. (2012). A state model for PBIS in secure juvenile corrections: Planning and early intervention. Journal of Positive Behavior Interventions, 14, 1-4.
“This study describes the 1st-year effects of a Schoolwide Positive Behavior Support on four schools in impoverished communities in rural west Texas. The authors present pre- and post-descriptive data that demonstrate the positive effect upon decreasing discipline referrals, lowering in school suspension rates, and reducing failure rates. The authors hypothesized that using a Schoolwide Positive Behavior Support system is used in rural impoverished schools can help mitigate the negative consequences children experience in communities with few mental health services, thereby increasing their academic engagement and success.”
McCrary, D., Lechtenberger, D. A., & Wang, E. W. (2012). The effect of schoolwide positive behavioral supports on children in impoverished rural community schools. Preventing School Failure: Alternative Education for Children and Youth, 56(1), 1-7. https://doi.org/10.1080/1045988X.2010.548417
“The authors investigated the relationship between adolescent occupational aspirations and midlife career success. The model for adolescent occupational aspirations was derived from Gottfredson’s (1981) theory of circumscription and compromise. The authors hypothesized that parental socioeconomic status (SES), ability, and gender predict adolescent occupational aspirations and influence career achievement in later life. Gottfredson’s model was a good fit for the data. SES and ability influenced the formation of occupational aspirations, and ability and gender predicted career achievement in later life. Additionally, occupational aspirations predicted career achievement in later life. Adolescent girls achieved less career success in midlife than did adolescent boys.”
*Cochran, D. B., Wang, E. W., *Stevenson, S. J., *Johnson, L. E., & Crews, C. (2011). Adolescent occupational aspirations: Test of Gottfredson’s theory of circumscription and compromise. Career Development Quarterly, 59, 412-427. https://doi.org/10.1002/j.2161-0045.2011.tb00968.x
“This article presents a concept-guided approach to the assessment of risk in the life situations of children alleged to be maltreatment victims. This concept-guided risk assessment is theoretically based and is the first to use a nomological hierarchy which can yield itself to systematic testing for construct validity. Data were collected on 1199 cases referred for investigations of child maltreatment. Reliability was examined by applying Cronbach’s alpha coefficient to the 25 risk features and the 18 risk category constructs within the seven risk areas. “
Baumann, D. J., Grigsby, C., Sheets, J., Reid, G., Graham, J. C., Robinson, D., Holoubek, J., Farris, J., Jeffries, V., & Wang, E. W. (2011). Concept-guided risk assessment: Promoting prediction and understanding. Children and Youth Services Review, 33,1648-1657. https://doi.org/10.1016/j.childyouth.2011.04.017
“Peer nominations and demographic information were collected from a diverse sample of 1493 elementary school participants to examine behavior (overt and relational aggression, impulsivity, and prosociality), context (peer status), and demographic characteristics (race and gender) as predictors of teacher and administrator decisions about discipline. Exploratory results using classification tree analyses indicated students nominated as average or highly overtly aggressive were more likely to be disciplined than others. Among these students, race was the most significant predictor, with African American students more likely to be disciplined than Caucasians, Hispanics, or Others. Among the students nominated as low in overt aggression, a lack of prosocial behavior was the most significant predictor. Confirmatory analysis using hierarchical logistic regression supported the exploratory results. Similarities with other biased referral patterns, proactive classroom management strategies, and culturally sensitive recommendations are discussed.“
*Horner, S. B., Fireman, G. D., & Wang, E. W. (2010). The relation of student behavior, peer status, race, and gender to decisions about school discipline using CHAID decision trees and regression modeling. Journal of School Psychology, 48(2), 135-161. https://doi.org/10.1016/j.jsp.2009.12.001 [Co-winner of the Journal of School Psychology article of the year.]
“The present study investigated the characteristics of children who remain consistently peer victimized in comparison to those who transition out of victimization status. The relationships between victimization and the victim’s level of overt aggression, relational aggression, impulsivity, and prosocial behaviors were examined from one year to the next. At Time 1, 1589 3rd, 4th, and 5th-grade children were administered a peer nomination instrument assessing victimization and standard sociometric variables. At Time 2 (1 year later), 1619 3rd, 4th, and 5th-grade children were administered the same measure. A mixed-design repeated measures MANOVA was conducted for boys and girls separately. Results indicated that in comparison to victims transitioning out of victimization status, consistently victimized boys were lower in prosocial behavior, and consistently victimized girls were higher in impulsivity. Results for girls also indicated that a reduction in victim’s own level of relational aggression was associated with cessation of victimization.”
*Dempsey, J., Fireman, G., & Wang, E. W. (2006). Transitioning out of peer victimization: Victim’s level of relational aggression. Journal of Psychopathology and Behavioral Assessment, 28(4), 273-282. https://doi.org/10.1007/s10862-005-9014-5
“Because of the rising frequency and severity of violence in prison populations, quick and accurate screening of aggressiveness is vital. The Buss-Perry Aggression Questionnaire (BPAQ) is a 29-item self-report measure of aggression. Bryant and Smith proposed a refined 12-item, four-factor version with superior psychometric qualities; however, Williams, Boyd, Cascardi, and Poythress found a different factor structure among jail detainees than is usually found with nonoffenders. The current study used confirmatory factor analyses with data from mentally ill male offenders in a state prison to examine several previously proposed models for the BPAQ. Results confirmed the four-factor structure, the factorial invariance across populations, and supported the use of a modified 12-item refined BPAQ with this prison population.“
Diamond, P. M., Wang, E. W., & *Buffington-Vollum, J. (2005). Factor structure of the Buss-Perry Aggression Questionnaire (BPAQ) with mentally ill male offenders. Criminal Justice and Behavior, 32(5), 546-564. https://doi.org/10.1177/0093854805278416
“The purpose of this study was to determine how well various peer nomination factors predict to long-term low frequency but highly disruptive elementary age classroom behaviors that result in school disciplinary action. Peer nomination measures to determine six factors (prosocial, social preference, overt aggression, relational aggression, impulsivity, and social impact) were administered to 838 third through fifth grade students in the spring of 2000 and 344 students were re-assessed in the spring of 2001. In the spring of 2001, the occurrence of four school disciplinary actions (in-school suspension, out-of school suspension, corporal punishment, and placement in disciplinary alternative) was collected on the 838 students assessed in 2000. Consistent with prior research, the peer nomination measures were highly reliable. Using Receiving Operating Characteristics analyses the findings indicated that low prosocial skills, high overt aggression, and high impulsivity were independently strong predictors of school disciplinary actions. These findings were similar across grade and ethnicity. However, the impulsivity factor was a stronger predictor of disciplinary action for girls than for boys.“
Fireman, G., *Hutcherson, S., *Chilton, A., & Wang, E. W. (2002). Predicting school disciplinary problems: The validity of peer nomination measures. (ERIC Document Reproduction Service No. CG032044).
“Over the last decade state prisons have experienced unprecedented growth and many demographic changes. At the same time, courts are requiring states to provide mental health screening and treatment to prisoners. Findings from recent studies indicate that the prevalence of mental illness is higher in prisons than in the community, and comorbidity is common. Our ability to generalize from these studies is limited, however, because of major shifts in the demographic mix in prisons during the past decade. New studies on the prevalence of mental illness in prisons, which consider these recent changes would help planners allocate funds and staff to more effectively meet the needs of these individuals.“
Diamond, P. M., Wang, E. W., *Smith, J. L., Holzer, C. E., III, Cruser, d. A., & Thomas, C. R. (2001). The prevalence of mental illness in prison: Review and policy implications. Administration & Policy in Mental Health, 29(1), 21-40. https://doi.org/10.1023/A:1013164814732
“In 1990, the Texas Department of Criminal Justice instituted a specialty aggression treatment program called the Program for the Aggressive Mentally Ill Offender (PAMIO). It has beds for 458 violent male offenders and offers multidisciplinary medical and behavioral treatment. This study examined the effectiveness of this treatment program by comparing the annual rates of disciplinary offenses (e.g., staff assaults, inmate assaults, and good time lost) of 66 offenders prior to and following treatment. Paired t tests showed a significant decrease after PAMIO treatment in the annual rates of total disciplinaries, staff assaults, inmate assaults, and good time lost. This improvement appeared to be directly related to treatment effects.”
Wang, E. W., Owens, R. M., *Long, S. A., Diamond, P. M., & *Smith, J. L. (2000). The effectiveness of rehabilitation for persistently violent male prisoners. International Journal of Offender Therapy and Comparative Criminology, 44(4), 505-514. https://doi.org/10.1177/0306624X00444008
“The authors used structural modeling to predict institutional aggression among male mentally ill offenders using the predictors of anger, antisocial personality style, current violent offense, ethnicity, and impulsivity. Measures included the Barratt Impulsiveness Scale, the Buss-Perry Aggression Questionnaire, the Personality Assessment Inventory, age, ethnicity, current violent offense, victim injury from current offense, and institutional incidents of physical and verbal aggression. The model fit the data, and accounted for 94% and 87% of the variance of physical and verbal aggression, respectively. Results indicated anger, antisocial personality style, and impulsivity are stronger predictors of institutional aggression than are ethnicity and current violent offense; anger was the best predictor. Results suggest dynamic variables such as anger can be targeted for clinical intervention to reduce institutional violence.”
Wang, E. W., & Diamond, P. M. (1999). Empirically identifying factors related to violence risk in corrections. Behavioral Sciences and the Law, 17, 377-389. https://doi.org/10.1002/(SICI)1099-0798(199907/09)17:3<377::AID-BSL351>3.0.CO;2-M
“Indicators of feigned PAI profiles were derived from comparisons of simulators instructed to feign and genuine patient groups. Concerns are raised regarding whether these indicators are applicable to forensic and correctional populations and can be crossvalidated with a known-groups comparison. Compiling data on 57 malingerers and 58 genuine patients from two forensic and correctional sites, three primary indicators of feigning, Negative Impression (NIM) scale, Malingering Index, and the Rogers Discriminant Function (RDF) were investigated. Results suggested that the RDF was not applicable to forensic referrals. However, NIM 2 77T appeared to be a useful screen for forensic samples. In addition, convergent evidence of feigning was found across designs (simulation and known-groups) and samples (non-forensic and forensic) for extreme elevations on NIM (> 1101) and Malingering Index (? 5).”
Rogers, R., Sewell, K. W., Cruise, K. R., Wang, E. W., & Ustad, K. L. (1998). The PAI and feigning: A cautionary note on its use in forensic-correctional settings. Assessment, 5, 399-405. https://doi.org/10.1177/107319119800500409
“Provision of mental health services to correctional populations places considerable demands on clinical staff to provide efficient and effective means to screen patients for severe mental disorders and other emergent conditions that necessitate immediate interventions. Among the highly problematic behaviors found in correctional settings are forms of acting out (e.g., suicide and aggression towards others) and response style (e.g., motivations to malinger). The current study examined the usefulness of the Personality Assessment Inventory (PAI) in assessing problematic behaviors in a corrections-based psychiatric hospital. As evidence of criterion related validity, selected PAI scales were compared to (a) evidence of malingering on the Structured Interview of Reported Symptoms (SIRS), (b) suicidal threats and gestures, and (c) ratings of aggression on the Overt Aggression Scale (OAS). In general, results supported the use of the PAI for the assessment of these problematic behaviors.”
Wang, E. W., Rogers, R., Giles, C. L., Diamond, P. M., Herrington-Wang, L. E., & Taylor, E. R. (1997). A pilot study of the Personality Assessment Inventory (PAI) in corrections: Assessment of malingering, suicide risk, and aggression in male inmates. Behavioral Sciences & the Law, 15, 1-14. https://doi.org/10.1002/(SICI)1099-0798(199723/09)15:4<469::AID-BSL279>3.0.CO;2-A