<p> Identifying adolescents at risk for re-offense, specifically among a predominately Hispanic population, is rarely empirically examined (Cintr&oacute;n, 2006). The Hispanic population comprises the largest minority population in the United States, and accounts for over 60% of the population in Nueces County (US Census Bureau, 2011). The purpose of this study was to explore the boundaries and utility of the Massachusetts Youth Screening Instrument Version 2 (MAYSI-2) through its subscales, specifically in a predominately Hispanic population. A binary logistic regression was conducted to explore the extent to which MAYSI-2 subscale scores, demographic variables, and offense information predict re-offense. </p><p> A sample of 884 adolescent offenders from Nueces County was utilized to examine factors that are predictive of recidivism. The regression analysis included all offenders from the year 2010. A listwise deletion was conducted to remove offenders with multiple offenses, and missing MAYSI-2 scores, or missing data. Data were collected ex-post facto and analyzed using a hierarchical logistic regression. </p><p> The results of the logistic regression indicated all three domains (MAYSI-2 subscale scores, demographic variables, and offense information) were statistically significant predictors of juvenile re-offense. Three of the MAYSI-2 subscales, Alcohol/Drug Use, Angry-Irritable, and Somatic Complaints, were significant predictors of re-offense. Additionally, six of the demographic variables were found to be predictive of recidivism: juvenile age, number of siblings, Hispanic adolescents, gang affiliation, type of school, and legal guardian. Significant variables identified as predictive of re-offense from the offense information included misdemeanors and prior violent offenses. </p><p> Overall, each of the three domains provides statistically significant contributions to the prediction of the dichotomous dependent variable, re-offense. The most powerful contribution for predicting juvenile recidivism is from the demographic variables, age and legal guardian (i.e., coming from a home with an absent biological parent). The results of this study imply that personal interactions with offender may be more helpful than psychometric measures at identifying adolescents at risk to reoffend. Although attempting to categorize adolescents merely based on demographic information can result in biases, and steoreotyping, the information can be used to identify risk factors that may impede an adolescent's success. Identifying adolescents that present with characteristics indicating higher risk for re-offense, can assist clinicians in developing treatments.</p>

<p> This study examined the propensity to engage in Organizational Retaliation Behaviors (ORBs) when perceiving organizational injustices in a group context. Situational scenarios were developed that incorporated distributive, procedural, and interactional justice and were administered to 211 individuals, along with a measure of the propensity to engage in ORBs directed towards group members and group leaders distinctly. Moreover, an individual's degree of narcissism was also assessed to explore its relationship to one's propensity to engage in ORBs. Analysis of Variance revealed a strong relationship between the condition exemplifying injustice and ORBs, in addition to a higher tendency of expressing ORBs towards group members when compared to group leaders. Furthermore, narcissism did not significantly impact the degree to which individuals expressed their propensity to engage in ORBs.</p>

<p> This study examined the relationship of sales employees' emotional intelligence (EI) to their organizational justice (OJ) perceptions, and examined if sales employees' job satisfaction (JS) moderated the strength of the relationship between their EI and OJ perceptions. Three assessments were administered electronically and completed by 135 participants. The Job In General (JIG) assessment measured overall JS of employees. The assessment used to measure employee EI was the Emotional Quotient Inventory (EQ-i 2.0). The assessment used to measure employee justice perceptions was the Perceived Overall Justice scale. Hierarchical moderated multiple regression analysis (MRA) was used to identify any relationships. No statistically significant finding between EI, JS, and OJ were found when using hierarchical moderated MRA. Because of the violations of assumptions for MRA, it was determined that follow-up non-parametric testing was required. Non-parametric testing found a significant relationship between employees' EI and their OJ perceptions. The non-parametric testing confirmed previous findings of significant relationship between EI and OJ. Recommendations for future research include examining individual facets of EI and OJ, using different assessment to measure EI and OJ, and using a controlled environment to recruit participants.</p>

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1995. / Source: Dissertation Abstracts International, Volume: 55-11, Section: B, page: 5126. Chair: Nancy G. Bliwise.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1994. / Source: Dissertation Abstracts International, Volume: 56-04, Section: B, page: 2321. Chair: Anita Greene.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1996. / Source: Dissertation Abstracts International, Volume: 57-08, Section: B, page: 5389. Adviser: Bill Froming.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1996. / Source: Dissertation Abstracts International, Volume: 58-02, Section: B, page: 1020.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1996. / Source: Dissertation Abstracts International, Volume: 58-08, Section: B, page: 4454. Adviser: Wendy Stock.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1999. / Source: Dissertation Abstracts International, Volume: 60-01, Section: B, page: 0408. Adviser: Anita Greene.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1999. / Source: Dissertation Abstracts International, Volume: 60-09, Section: B, page: 4960. Adviser: Evonne L. Schaeffer.