The objective of this study was to examine the relationship between cyberbullying and mental health problems among a multiethnic sample of high school students in Hawai'i. A University-Community partnership was established to direct the research. Using a mixed-methods approach, we explored violence among Asian and Pacific Islander youth. In the first phase, focus groups were conducted to identify areas of youth concern and develop survey questions. Responses from 677 high school students on interpersonal youth violence and risk and protective factors were utilized in this study. More than 1 in 2 youth (56.1%) had been victims of cyberbullying in the last year. Filipino and Samoan youth were more likely to report feeling badly about themselves as a result of cyberbullying. While cyberbullying and mental health problems varied by sex and ethnicity, we found that cyberbullying is widespread with serious potential consequences among Asian and Pacific Islander youth. A multifaceted approach is needed to reduce and prevent cyberbullying. School, family and community programs that strengthen positive relationships and promote safe use of technology provide promise for reducing cyberbullying.

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There is a relatively consistent negative relationship between adolescent depressive symptoms and educational achievement (e.g., grade-point average [GPA]). However, we are less certain of the causal direction for this association due to the lack of longitudinal data with both indicators measured across at least two time periods, and due to the lack of application of more sophisticated contemporary statistical techniques. We present multivariate results from a large longitudinal cohort-sequential study of high school students (N = 7,317) with measures of self-reported depressive symptoms and self-reported GPAs across multiple time points (following McArdle, 2009; McArdle et al., 2001) using an ethnically diverse sample from Hawai‘i. Contemporary statistical techniques included: bivariate dynamic structural equation modeling (DSEM); multi-group gender-and-ethnic DSEMs; ordinal scale measurement of key outcomes; and imputation for incomplete longitudinal data. The findings suggest that depressive symptoms affect subsequent academic achievement, and not the other way around, especially for Native Hawaiians as compared to non-Hawaiian females. We further discuss the scientific, applied, and methodological-statistical implications of the results, including the need for further theorizing and research on mediating variables. We also discuss the need for increased prevention, early intervention, screening, identification, and treatment of depressive symptoms and disorders. Finally, we argue for utilization of more contemporary methodological-statistical techniques, especially when violating parametric-test assumptions.

This study compared self-reported risk factors for suicide among American high school students in the last decade. Data from the 1999-2009 Youth Risk Behavior Surveys was analyzed by 8 self-reported ethnicity groups across 6 suicide-related items: depression, suicide ideation, suicide planning, suicide attempts, and suicide attempts requiring medical attention). Native Hawaiian/Pacific Islander adolescents had the higher prevalence of risk factors for suicide. Multiracial adolescents were also at high risk for suicide-related behaviors, with a risk comparable to American Indian/Alaska Native adolescents. Overall, Native Hawaiian/Pacific Islander, multiracial, and American Indian/Alaska Native adolescents reported a significantly higher risk for suicide-related behaviors compared to their Asian, Black, Hispanic, and White peers. The ethnic disparities in risk factors for suicide dictate a need to understand the vulnerability of the Pacific Islander, American Indian, and growing multiracial adolescent populations, in an effort to develop and implement suicide prevention strategies.

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School psychologists are generally not provided with the knowledge and skills to address both educational and psychosocial issues of Asian American and Pacific Islander students. The present study is the first of its kind in examining 36 independent (i.e., demographic, social, cultural, psychological) variables in association with four school outcomes (i.e., grade point average, absences, suspensions, and school infractions) with a large sample of Caucasian, Filipino, Native Hawaiian, Japanese, mixed/non-Hawaiian, and "other" Hawai'i high school students (N = 2,833). Given the relatively unique sample in question and the sheer number of variables, an exploratory approach was utilized with the goal of determining the most robust independent variables, with the unique inclusion of Hawaiian cultural identification. A cross-validation technique was used, whereby stepwise regressions were performed for each of two cross-validation samples; only common variables were retained in a final stepwise model for each of the four school outcomes. The results

For Asian/Pacific-Islander youths, the quality of the social supports, including family relations, may be particularly important in the adolescents' adjustment. When examining school-related outcomes, demographic variables, with particular emphases on ethnicity and culture, must be considered. When developing and implementing prevention and intervention services and programs, consideration of family and ethnic-cultural influences should be taken into account, with further research needed in several related domains: other SES influences, life stressors, migration-generational effects, ethnic identity, self-concept indicators and socio-political aspects.

The scientific literature consistently supports a negative relationship between adolescent depression and educational achievement, but we are certainly less sure on the causal determinants for this robust association. In this paper we present multivariate data from a longitudinal cohort-sequential study of high school students in Hawai‘i (following McArdle, 2009; McArdle, Johnson, Hishinuma, Miyamoto, & Andrade, 2001). We first describe the full set of data on academic achievements and self-reported depression. We then carry out and present a progression of analyses in an effort to determine the accuracy, size, and direction of the dynamic relationships among depression and academic achievement, including gender and ethnic group differences. We apply three recently available forms of longitudinal data analysis: (1) Dealing with Incomplete Data -- We apply these methods to cohort-sequential data with relatively large blocks of data which are incomplete for a variety of reasons (Little & Rubin, 1987; McArdle & Hamagami, 1992). (2) Ordinal Measurement Models (Muthén & Muthén, 2006) -- We use a variety of statistical and psychometric measurement models, including ordinal measurement models to help clarify the strongest patterns of influence. (3) Dynamic Structural Equation Models (DSEMs; McArdle, 2009). We found the DSEM approach taken here was viable for a large amount of data, the assumption of an invariant metric over time was reasonable for ordinal estimates, and there were very few group differences in dynamic systems. We conclude that our dynamic evidence suggests that depression affects academic achievement, and not the other way around. We further discuss the methodological implications of the study.