Self-regulation is essential for successful social functioning, yet more remains to be understood about the influence of peers on this important developmental skill. This study examined the influence of verbal peer victimization on the growth of self-regulation across four years of early adolescence using parallel process growth modeling. For all adolescents, higher levels of self-regulation buffered early adolescents from the effects of negative peer interactions. In addition, early adolescents with initially low levels of self-regulation also had higher levels of depression and experienced higher levels of peer victimization than their better regulated peers. Importantly the Family Check-Up, a brief preventative intervention, resulted in improvements in self-regulation that was sustained over time. The relationship between peer victimization and self-regulation was not predictive; however, a significant persisting association was observed suggesting that improvements in adolescent self-regulation abilities help buffer youth from the impact of negative peer interactions. This research highlights the importance of the social context on the development of self-regulation during adolescence and contributes novel findings of the effect of contextual variables on self-regulation development. These findings support an ecological prevention approach, including family-centered intervention and social-emotional curricula, to promote increased self-regulation and reduce peer victimization among adolescents.

This dissertation investigated the optimal strategy for the model specification search in the latent growth modeling. Although developing an initial model based on the theory from prior research is favored, sometimes researchers may need to specify the starting model in the absence of theory. In this simulation study, the effectiveness of the start models in searching for the true population model was examined. The four possible start models adopted in this study were: the simplest mean and covariance structure model, the simplest mean and the most complex covariance structure model, the most complex mean and the simplest covariance structure model, and the most complex mean and covariance structure model. Six model selection criteria were used to determine the recovery of the true model: Likelihood ratio test (LRT), DeltaCFI, DeltaRMSEA, DeltaSRMR, DeltaAIC, and DeltaBIC. The results showed that specifying the most complex covariance structure (UN) with the most complex mean structure recovered the true mean trajectory most successfully with the average hit rate above 90% using the DeltaCFI, DeltaBIC, DeltaAIC, and DeltaSRMR. In searching for the true covariance structure, LRT, DeltaCFI, DeltaAIC, and DeltaBIC performed successfully regardless of the searching method with different start models.

Inconsistencies in alcohol use measurement across studies and broad conceptualizations of post-secondary education experiences of young adults impede the comparison of research findings and our understanding of age-related shifts in alcohol use during emerging adulthood. This dissertation uses data from the Victoria Health Youth Survey (V-HYS), a 5 wave longitudinal study following 662 Canadian youth across the ages of 12-27. Study 1 examined the longitudinal associations among four measures of alcohol consumption (frequency, quantity, frequency of heavy episodic drinking and volume) from ages 15-25 and compared the ability of these measures to predict alcohol-related problems in emerging adulthood. Levels and rates of change across alcohol dimensions were moderately associated over time. However, measures of alcohol involvement significantly differed in their average rate of growth and in the prediction of alcohol-related problems in emerging adulthood. Heavy episodic drinking and volume showed the strongest associations in developmental trends and were similarly predictive of alcohol-related problems. The findings from this study support using measures of heavy episodic drinking or volume for assessing alcohol use and alcohol-related problems during emerging adulthood. Building on Study 1, Study 2 compared the trajectories of heavy episodic drinking during adolescence and emerging adulthood among youth in four different educational pathways: two-year college students, four-year university students, transfer students, and terminal high school graduates. This study also examined whether individual level factors could account for group differences in heavy drinking among the education groups. Terminal high school graduates consistently had the highest levels of alcohol use over time compared to all three post-secondary groups. Two-year college students had significantly higher levels of heavy drinking than university or transfer students when they enrolled, but university students had the greatest increases in heavy drinking after enrollment. However, differences in heavy drinking between post-secondary groups were completely accounted for by variations in the age at the time of enrollment. Taken together, the current findings illustrate that enrolling in post-secondary education, regardless of the type of institution, is associated with an increase in the frequency of heavy drinking during emerging adulthood and that this increase is greatest for younger students. However, the rates of drinking never exceeded that of the terminal high school graduates over time. These studies illustrate that the conclusions drawn about alcohol use trends during emerging adulthood may be contingent on the alcohol consumption measure used and conceptualizations of educational experiences. The results of the current studies provide recommendations to researchers about which measures of alcohol involvement to select for inclusion in future studies, and inform the optimal timing, targets, and contexts for alcohol prevention and intervention efforts during emerging adulthood. / Graduate / 0620

abstract: This dissertation examined Mexican American individuals' romantic relationships within two distinct developmental periods, adolescence and adulthood. Study 1 used latent class analysis to explore whether 12th grade Mexican Americans' (N = 218) romantic relationship characteristics, cultural values, and gender created unique romantic relationship profiles. Results suggested a three-class solution: higher quality, satisfactory quality, and lower quality romantic relationships. Subsequently, associations between profiles and adolescents' adjustment variables were examined via regression analyses. Adolescents with higher and satisfactory quality romantic relationships reported greater future family expectations, higher self-esteem, and fewer externalizing symptoms than adolescents with lower quality romantic relationships. Similarly, adolescents with higher quality romantic relationships reported greater academic self-efficacy and fewer sexual partners than adolescents with lower quality romantic relationships. Finally, adolescents with higher quality romantic relationships also reported greater future family expectations and higher academic self-efficacy than adolescents with satisfactory quality romantic relationships. To summarize, results suggested that adolescents engaged in three unique types of romantic relationships with higher quality being most optimal for their adjustment. Study 2 used latent growth modeling to examine marital partners' (N = 466) intra- and inter-individual changes of acculturative stress, depressive symptoms, and marital quality. On average across the seven years, husbands' acculturative stress remained steady, but wives' significantly decreased; partners' depressive symptoms remained relatively steady, but their marital quality significantly decreased. Although partners' experiences of acculturative stress were less similar than their experiences of depressive symptoms and marital quality, overall their experiences were interconnected. Significant spillover and crossover effects emerged between partners' initial levels of acculturative stress and depressive symptoms and between depressive symptoms and marital quality. Moreover, changes in husbands' depressive symptoms were negatively associated with changes in their marital quality. Overall, results suggested that partners' experiences were interconnected across time. / Dissertation/Thesis / Ph.D. Family and Human Development 2014

The current study identified subgroups of individuals regarding nonresident fathers’ childcare provision by taking the growth mixture modeling approach (GMM) and Fragile Families and Child Wellbeing Study (FFCWS; wave 1 to wave 5). The three-profile model was the most fitted model, where Profile 1 (n = 548, 68.7%) showed the lowest childcare across waves, and Profile 3 (n = 106, 13.3%) was the most involved group, and the Profile 2 (n = 144, 18.0%) showed moderate levels of care provision (see Figure 1). Follow-up analysis revealed that the profiles significantly differed on child gender and the fathers’ education level; participants were more likely to be in the Profile 3 when the child was boy and fathers had higher education achievement.

This dissertation proposed and operationalized a theoretically meaningful and practically useful conceptualization of change for three well known communication constructs, namely willingness to communicate (WTC), self-perceived communication competence (SPCC), and communication apprehension (CA). Specifically, this research found that students' WTC and SPCC scores increased linearly during the semester and their CA scores decreased linearly. In addition, results from this dissertation indicated that for all three constructs considerable differences among students existed with respect to both initial levels and subsequent change in levels. These results are important and can advance the theoretical communication research centered around these constructs. In particular, knowledge that the hypothesis of linear change in the constructs received support from empirical data and that variations in students' trajectories of change were recorded, can prompt communication scholars to search for novel theoretical frameworks that can explicate these change processes. Moreover, the findings of this research are also salient for classroom instruction. Specifically, teachers of introductory communication classes can use the results of this study as broad benchmarks that can inform realistic expectations with respect to students' improvement in WTC, SPCC, and/or CA. In addition, this dissertation presented the benefits derived from properly conceptualizing and studying change by means of latent growth modeling, a powerful and versatile data analytic technique. Specifically, employing this methodology offered the opportunity to get detailed information about how changes in one construct are related to changes in the other two constructs and to gain a more in-depth knowledge of the intricate ways in which interlinkages among the constructs change across time. The benefits of this dynamic way to study WTC, SPCC, and CA are readily apparent as it facilitates teachers access to information that can be used to tailoring their activity for a more targeted, efficient, and beneficial instruction.

Variables such as stigma, weak ethnic identity, and cultural mistrust have been linked to the underutilization of therapy amongst ethnic minority populations. As such, ethnic minority populations may reach a higher threshold of distress-including areas such as anxiety and depression-before seeking professional help. While there is substantial research documenting ethnic differences among various ethnic minority populations (e.g., African Americans, Asian Americans, Hispanics) very little research has been conducted exploring differences among individuals from Native Hawaiian and Pacific Islander (NHPI) backgrounds. For the current study, we explored differences in distress upon intake as well as the change in anxiety and depression scores over the course of 12 therapy sessions for NHPI college students compared to college students from other ethnic groups. We also explored the effect that spirituality and religiosity had on depression and anxiety among NHPI college students. We collected data from the Center for Collegiate Mental Health (CCMH), a practice research network that has aggregated data from hundreds of university counseling centers across the United States, from the years 2012-2015. Our total sample was N = 256,242; of that sample, n = 452 identified as NHPI. We selected independent variables from the Standardized Data Set (i.e., ethnicity, age, gender, estimated socioeconomic status, importance of spirituality and religiosity) and dependent variables from the Counseling Center Assessment of Psychological Symptoms-62 and -34 (i.e., depression, social anxiety, generalized anxiety). We analyzed data using latent growth modeling and computed a conceptual effect size by comparing the change in standard deviation between treatment effects. Results yielded significant differences (p < .05) between both intercept and slope estimates for NHPIs compared to African Americans, Hispanics, Asian Americans, and Whites. Notably, NHPI depression scores improved at the highest rate over time compared to other ethnic groups, while anxiety scores among NHPIs improved at the lowest rate. The effect of spirituality and religiosity on anxiety and depression was statistically insignificant. The results of this study indicated that NHPI college students experience psychotherapy outcomes differently than other ethnic groups, including Asian Americans, with moderate-to-large magnitudes of effect. Considering substantial meta-analytical research supporting the benefits of culturally adapted treatment, results of this study suggest the need to disaggregate the combined demographic Asian Americans and Pacific Islanders (AAPI), as research conducted on this broader group provides questionable validity when applied to clinical settings for NHPIs.

This dissertation attempts to expand our understanding of the deficient self-regulation (DSR) of Internet use and media habit development. Drawing from a social cognitive perspective, DSR is described as lapses in effective self-control that are self-corrected over time. A shortcoming in this area of research is that factors relevant to the technology that may encourage the development of DSR or media habits are rarely, if ever, discussed. A large focus of existing research is instead narrowly placed on individual factors that motivate DSR and media habits. An extension is proposed to theory on DSR in this dissertation by examining the role played by novelty perceptions of technology. In the initial stages of technology use, when perceptions of novelty generally grow, perceived novelty is hypothesized to elicit a state of flow, which in turn diminishes the subfunctions of self-regulation and provokes DSR. The relationship between perceived novelty and flow is moderated by psychosocial problems, boredom proneness, and self-reactive outcome expectation. As perceived novelty of a technology decreases, it is presumed that self-control is restored given that flow no longer inhibits self-regulation. However, DSR and media habits are hypothesized to persist in later technology use if individuals experience psychosocial problems, boredom proneness, or high self-reactive outcome expectations. The manifestation of DSR in later stages of technology use increases the likelihood of forming media habits. The influence of novelty perceptions was evaluated on flow, DSR, and media habits at initial and later stages of technology use. The pretest demonstrated that a novelty frame successfully manipulated novelty perceptions of Second Life, the technology used in this experiment, in anticipated directions. In the main study, perceived novelty resulted in flow, which in turn predicted growth of DSR during initial stages of Second Life use. In the familiar stages of use, DSR led to the development of media habits over time; however, the relationship between novelty perceptions and DSR was not moderated by psychosocial problems, boredom proneness, or self-reactive outcome expectation. The findings of this investigation are discussed aside their implications for research, theory, and practice.

abstract: Designing studies that use latent growth modeling to investigate change over time calls for optimal approaches for conducting power analysis for a priori determination of required sample size. This investigation (1) studied the impacts of variations in specified parameters, design features, and model misspecification in simulation-based power analyses and (2) compared power estimates across three common power analysis techniques: the Monte Carlo method; the Satorra-Saris method; and the method developed by MacCallum, Browne, and Cai (MBC). Choice of sample size, effect size, and slope variance parameters markedly influenced power estimates; however, level-1 error variance and number of repeated measures (3 vs. 6) when study length was held constant had little impact on resulting power. Under some conditions, having a moderate versus small effect size or using a sample size of 800 versus 200 increased power by approximately .40, and a slope variance of 10 versus 20 increased power by up to .24. Decreasing error variance from 100 to 50, however, increased power by no more than .09 and increasing measurement occasions from 3 to 6 increased power by no more than .04. Misspecification in level-1 error structure had little influence on power, whereas misspecifying the form of the growth model as linear rather than quadratic dramatically reduced power for detecting differences in slopes. Additionally, power estimates based on the Monte Carlo and Satorra-Saris techniques never differed by more than .03, even with small sample sizes, whereas power estimates for the MBC technique appeared quite discrepant from the other two techniques. Results suggest the choice between using the Satorra-Saris or Monte Carlo technique in a priori power analyses for slope differences in latent growth models is a matter of preference, although features such as missing data can only be considered within the Monte Carlo approach. Further, researchers conducting power analyses for slope differences in latent growth models should pay greatest attention to estimating slope difference, slope variance, and sample size. Arguments are also made for examining model-implied covariance matrices based on estimated parameters and graphic depictions of slope variance to help ensure parameter estimates are reasonable in a priori power analysis. / Dissertation/Thesis / Ph.D. Educational Psychology 2011

Alcohol abuse is a ubiquitous issue for college students across the United States (U.S.) including Native Hawaiians and Pacific Islanders (NHPI). As compared to their counterparts, NHPI students tend to underutilize university counseling services and have significantly lower retention rates than their White counterparts. Considering that NHPI may be reluctant to go to counseling, their levels of distress and alcohol abuse may have to reach a higher threshold before they seek treatment. This study examined NHPI college students' presenting levels of alcohol abuse both at intake and over time and compared these students to students from other ethnic/racial groups. Data were gathered from the Center for Collegiate Mental Health (CCMH), a practice-research network used by hundreds of college counseling centers across the U.S. Aggregated data from the years 2012-2015 included variables measured by the Standardized Data Set (SDS) and the Counseling Center Assessment of Psychological Symptoms (CCAPS). The data were analyzed using Latent Growth Modeling (LGM) to assess the differences at intake and over time in alcohol abuse and distress across ethnic groups. Results of this study indicated that NHPI college students at college counseling centers had higher levels of alcohol abuse and presenting distress at intake than students from other ethnic/racial groups. However, NHPI did not have significantly different changes in levels of alcohol abuse from session one to session 12 as compared to other students. Implications and directions for further research are also discussed.