Although anxiety disorders and conduct problems often co-occur in children and adolescents, literature describing the effects of such co-occurrence is mixed. There is evidence that symptoms of anxiety disorders may mitigate symptoms of conduct problems (buffering hypothesis) or may exacerbate symptoms of conduct problems (multiple problem hypothesis). A dual-pathway model has been proposed that suggests several possible etiological or risk processes that may differentiate these pathways (i.e., the buffering hypothesis or the multiple problem hypothesis) (Drabick, Ollendick, & Bubier, 2010). Executive functioning is one factor that has been identified that may differentially confer risk to the proposed pathways; however, little research has been done investigating its role. The purpose of the present study was to evaluate the dual-pathway model by determining whether executive functioning abilities contribute to differentiating those youth for whom anxiety exacerbates conduct problems from those for whom anxiety mitigates conduct problems. Specifically, the study sought to examine if executive functioning moderated the effect of anxiety symptom severity on conduct problems. Latent variable structural equation modeling (SEM) was used to analyze the data of 221 youth aged 9 to 16 in a residential treatment center who completed a full neuropsychological evaluation. Results of the study failed to support the hypothesis that executive functioning moderates the effect of anxiety on conduct problems. Furthermore, a structural equation model without an interaction between executive functioning and anxiety was found to fit the data better than a model with an interaction between those variables. Overall, the study found that executive functioning abilities could not distinguish youth for whom anxiety exacerbates conduct problems from youth for whom anxiety mitigates conduct problems. Recommendations for future research in light of the limitations of the current study, as well as remaining gaps in the literature, are discussed. / text

Much of the research on childhood sexual abuse (CSA) has utilized demographic factors (e.g., the gender, age, and race/ethnicity of the child victim) and specific characteristics of the abusive experience (e.g., the severity of abuse, the relationship between the perpetrator and the child victim, the child's age at the onset of abuse, etc.) as predictors of children's adjustment. Unfortunately, the ability of such factors to predict children's adjustment consistently across studies has been limited. Alternatively, while it has been recognized that survivors of CSA often hail from dysfunctional family environments and that the disclosure of CSA frequently results in emotional distress for caregivers, less research has focused on how these factors may serve to influence sexually abused children's adjustment. This study included 163 sexually abused youth and their non-offending caregivers who completed measures of psychological adjustment and the family environment. Demographic information and abuse-related characteristics were also collected. Children's age, gender, and race/ethnicity were not significantly predictive of emotional adjustment. Structural equation modeling was used to examine the direct and indirect effects of total abuse severity, caregiver distress, and children's perceptions of their family environments as predictors of emotional adjustment. Results indicated that both children's perceptions of their family environments and total abuse severity were significantly predictive of children's emotional adjustment, whereas caregiver distress did not have significant direct or indirect effect on adjustment. Finally, the implications of these findings for future research and the development of effective interventions for sexually abused children and their families was discussed

Numerous studies have indicated racial and ethnic disparities in the vocational rehabilitation (VR) system, including differences in eligibility, services provided, and employment outcomes. Few of these studies, however, have utilized advanced multivariate techniques or latent constructs to measure quality of employment outcomes (QEO) or tested hypothesized models for the relationship between race, personal history characteristics, and VR outcomes. Furthermore, few VR disparities studies have examined southwestern states such as Texas, which has large Hispanic and Black populations. The purpose of this study was to utilize structural equation modeling (SEM) to examine several implied conceptual models for the relationship between race, personal history characteristics, and VR outcomes for White, Black, and Hispanic participants in the Texas VR system. The implied conceptual models were tested for goodness of fit and multiple-group invariance. A measurement model for QEO, a latent construct, was tested and used in the study. QEO was measured by three indicator variables and evaluated using confirmatory factor analysis. A MIMIC model was tested to assess racial/ethnic variation in QEO. The MIMIC results were compared to a multiple regression approach. In addition, a path model and logistic regressions were conducted to assess racial variation in VR closure status among consumers who were unemployed at application to VR. All models were retested with an independent sample to assess predictive validity. The study results indicated good model fit and measurement invariance for the QEO construct. The structural model for race, personal history characteristics, and QEO indicated moderate model fit. It also indicated interaction effects for race by gender and for race by public support. The MIMIC model results suggest that QEO decreased for Blacks and Hispanics compared to Whites. Furthermore, the MIMIC results, which utilized QEO as an endogenous variable, differed from the multiple regression findings, which utilized one criterion. The multiple regression findings indicated no statistically significant difference between Blacks and Whites. The path model for race and VR closure status indicated poor model fit. The logistic regression indicated no racial/ethnic differences in VR closure status. Several model estimates did not cross-validate. Study limitations and suggestions for future research are described. / text

Thus far, few research studies have examined the practice of integrated speaking test tasks in the field of second/foreign language oral assessment. This dissertation utilized structural equation modeling (SEM) and qualitative techniques to explore the relationships among topical knowledge, anxiety, and integrated speaking test performance and to compare the influence of topical knowledge and anxiety, respectively, on independent speaking test performance and integrated speaking test performance. Three instruments were employed in this study. First, three integrated tasks were derived from TOEFL-iBT preparation materials, and three independent tasks were developed specifically for this research study. Second, four topical knowledge tests (TKTs) were constructed by six content experts and validated on a group of 421 Taiwanese EFL learners. Third, the state anxiety inventory (SAI) from the State-Trait Anxiety Inventory was adopted. A total of 352 Taiwanese EFL students were recruited for the official study. At the first stage, they filled out the personal information sheet and responded to the TKTs. At the second stage, they took two independent tasks for which they spoke without input support, responded to an SAI, performed two integrated tasks in which they orally summarized the textual and auditory input given to them, and completed another SAI. Finally, 23 volunteers took part in follow-up interviews. The quantitative data were analyzed using the two-step SEM approach and the interview data were examined using a series of qualitative techniques, leading to five primary findings. First, topical knowledge and anxiety both strongly influenced the integrated speaking performance, though in an opposite manner. Second, topical knowledge did not significantly affect anxiety. Third, the effect of topical knowledge on independent speaking performance and integrated speaking performance varied depending on the topics of the tasks. Fourth, the impact of anxiety on independent speaking performance and integrated speaking performance also differed according to the topics of the tasks. Fifth, participants were overwhelmingly positive about the integrated tasks. In light of the findings, several implications are proposed for second/foreign language oral assessment theory, research methodology, and practice. / text

This study explored the emerging Self-Imposed Activity Limitation (SIAL) theory among community dwelling elders. This theory was examined using the proposed Aging Well Conceptual model which was guided by Baltes' Selection, Optimization with Compensation model, Markus and Nurius' Envisioned Possible Selves theory, Kuypers and Bengtson's Social Breakdown Syndrome model, Bandura's Self-Efficacy theory, and Rotter's Locus of Control theory. The objectives of this study were to explore the relationships among multiple variables in a hierarchical model and to examine the explanatory power of the SIAL variables in predicting elders' well-being.A correlational descriptive design with a causal modeling approach was used employing Structural Equation Modeling (SEM) techniques. The Aging Well model was tested through a secondary analysis of the National Survey of Midlife Development in the United States (MIDUS) database selecting respondents aged 65-74 years.Two research questions guided this study. Research question one, how well does the Aging Well model fit with empirical sample data, was explored. The Aging Well model statistically approximated the MIDUS data after theoretical and statistical modifications and explained 76% of the variance of elder's well-being. The mediating effects of SIAL variables were determined by nested alternative model testing. Research question two, are the proposition statements in the Aging Well model valid, and was demonstrated empirically by the expected patterns of correlation and covariance among most of the variables in the Aging Well model.SIAL as a composite factor had a large positive effect on elder's well-being. Elders' perceived constraints and perception of aging had no direct effect on well-being. The influences of these two factors on well-being were mediated by a common factor, SIAL. These findings supported the emerging SIAL theory by suggesting that the optimal use of SIAL would lead to adaptive outcomes promoting elders' well-being. In addition, SIAL mediated the effects of elders' sense of control and perception of aging on well-being. The full range of SIAL could not be examined due to limitations inherent in secondary data analysis.

Intercollegiate athletics are a prominent feature of American higher education. They have been characterized as the “front door” to the university due to their unique ability to draw alumni and other supporters to campus. It is often supposed that the exposure from high-profile athletics produces a number of indirect benefits including greater institutional prestige. Such exposure comes at a cost, however, as most Division I athletics programs are not financially self-sufficient and receive institutional subsidies to balance their budgets. At present, it is unclear how institutions budget for athletics subsidies or whether the recent increases in subsidies have impacted the overall financial picture of colleges and universities. Prior research has shown that athletics subsidies and student tuition and fees are not significantly correlated for public Division I institutions, which suggests the possibility that institutions have reallocated funds from other core areas to athletics. In this dissertation, the relationship between athletics subsidies and one of the most important core areas of the university – education and related activities – was examined. This relationship was investigated using fixed-effects structural equation models to analyze a panel dataset of public Division I institutions. It was found that total athletics subsidies (school funds and student fees) per student and education and related spending per student were positively correlated. This suggests that rather than decrease educational spending, institutions that increase total athletics subsidies have simultaneously increased their educational expenditures. However, in the analyses involving the more restrictive definition of athletics subsidies, it was shown that athletics subsidies from school funds was not correlated with educational spending. The results also provided some evidence that differences in the relationship between athletics subsidies and educational spending exist according to Carnegie classification and level of athletics competition. The findings from this study have a number of implications for higher education policy and future research. The absence of a negative relationship between athletics subsidies and educational spending suggests that athletics subsidies are not associated with decreases in educational spending that could ultimately harm the quality of education provided by colleges and universities. Furthermore, the existence of a positive correlation between athletics subsidies and educational spending and the fact that core revenues were controlled for in the models suggest the possibility that institutions have redirected funds from other areas to support education and athletics.

Although research is unequivocal concerning the important role of parenting in the prediction of a range of youth psychosocial outcomes, few empirical studies have examined potential contributions of parental individual differences factors to variability in parenting behaviors. Among the few studies that have, individual differences in affective dimensions of temperament (i.e., Negative Temperament [NT] and Positive Temperament [PT]) and executive functioning (EF) have individually emerged as potential key processes underlying parenting behaviors; however, they have yet to be examined jointly. Thus, using a latent variable approach, within a racially and ethnically diverse community sample of 166 parents, the current study examined the joint and interactive contribution of temperament and EF in the explanation of parenting. Further, despite conceptual overlap, parenting research has historically employed two distinct conceptual approaches: parenting practices and styles. The current study thus fitted a single integrative three-factor model (i.e., positive parenting, negative parenting, and corporal punishment) of parenting behaviors that included both styles and practices. Results suggested that parenting behaviors can be conceptualized within a single, three-factor model, allowing for the incorporation of historically distinct conceptions of parenting. Further, results revealed that affective dimensions of temperament and EF were uniquely but differentially associated with all parenting domains and EF moderated the associations between both NT and PT and positive parenting. All told, the current study provides support for an integrative model of parenting behaviors and parental temperament and EF, and their interaction, as potential critical processes associated with individual variability across parenting behaviors.

Previous literature provides an overview of the multiple relationships between alcohol use, protective behavioral strategies (PBS), alcohol-related negative consequences, depression, and sleep problems among college students, as well as differences by individual level characteristics, such as age, gender, and race/ethnicity. Several studies have found that specific demographic groups of students are more likely to reach a higher blood alcohol content (BAC) when “partying” or socializing (Turner, Bauerle, & Shu, 2004; Crotty, 2011). A variety of studies have also confirmed the positive relationship between high blood alcohol content and experiencing alcohol-related negative consequences (Turner, et al., 2004; Martens, Taylor, Damann, Page, Mowry, & Cimini, 2004; Borden, Martens, McBride, Sheline, Bloch, & Dude, 2011; Crotty, 2011). Additional studies have explored the role that protective behaviors play in the alcohol consumption-negative consequences relationship (Martens et al., 2004; Borden et al., 2011; Haines, Barker, & Rice, 2006; Martens, Martin, Littlefield, Murphy, & Cimini, 2011). These studies conclude that the frequency of protective behavior use and the number of these behaviors that are used when consuming alcohol are associated with the likelihood of a student experiencing negative consequences. Specifically, the negative relationship between protective behavior use and likelihood of experiencing negative consequences as a result of binge drinking is stronger for students who rarely use protective behaviors (Martens et al., 2004). Recent studies have also explored the role that depressive symptoms play in a model with alcohol use and alcohol-related negative consequences. The prevalence of college students who were diagnosed with depression in the last school year presents a great need to study its relationship with these constructs. Students with poor mental health or depression are also more likely to experience alcohol-related negative consequences (Weitzman, 2004), and there is a direct association between depressive symptoms and negative consequences, but not necessarily between alcohol use and depressive symptoms (Vickers, Patten, Bronars, Lane, Stevens, Croghan, Schroeder, & Clark, 2004). One study also suggests that protective behaviors partially mediate the relationship between depressive symptoms and negative consequences (Martens, Martin, Hatchett, Fowler, Fleming, Karakashian, & Cimini, 2008). Further, students with depressive symptoms who use protective behaviors drink less and experience fewer negative consequences, as compared to students without depressive symptoms who use protective behaviors (LaBrie, Kenney, Lac, Garcia, & Ferraiolo, 2009). Sleeping problems play an important role in the relationship between alcohol consumption and alcohol-related negative consequences. Poorer global sleep quality is associated with alcohol-related negative consequences after controlling for alcohol use. Further, among heavier drinkers, those with poorer sleep quality experienced greater levels of negative consequences than those who had better sleep quality (Kenney, LaBrie, Hummer, & Pham, 2012). The purpose of this study was to examine the relationships between alcohol use measured by estimated Blood Alcohol Content (eBAC), PBS, depression, and sleep problems, as they explain the variance of alcohol-related negative consequences using the spring 2009 national aggregate data set of the American College Health Association National College Health Assessment (ACHA-NCHA). This dataset was comprised of a random sample of undergraduate and graduate students from 117 U.S. colleges and universities (n=53,850). Reliability analyses, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used for model specification and evaluation. Model fit indices for the current study indicate that the model and the data in this study are a good fit, demonstrated by RMSEA= .044, 90% CI (.044, .044) and SRMR= .066. Findings suggest that an additive effect of eBAC, PBS, depression, sleep problems, and certain demographics explain 39% of the variance in alcohol-related negative consequences and greatly impact the amount of harm that college students may experience as a result of their alcohol use. Results from the current study may assist clinicians and health educators who want to improve the probability that they will be able help reduce negative consequences among college students when they drink alcohol. These staff may engage students in a conversation about risk reduction (e.g. one on one consults, campus-wide media campaign) and also provide support for conducting brief screenings about alcohol so that clinicians may be more effective in helping students to reduce alcohol-related negative consequences. The results from this study may also assist researchers in finding more relationships that account for some of the unexplained variance in this study. Interpreting these predictive relationships are important to the way that students are screened for alcohol problems on college campuses, as well as decisions that college students make about alcohol in the greater context of healthy lifestyle decisions. Future research could include repeating the analysis with each race/ethnicity separated out instead of as a dichotomous variable (white/non-white), conducting a similar analysis with each negative consequence instead of as a scale, developing a more complete sleep problems scale within the ACHA-NCHA with improved reliability, and a further investigation into the positive correlation between sleep problems and depression in order to explore other variables that mediate the relationship between depression and sleep problems among college students.

Chronic obstructive pulmonary disease (COPD) has a severe impact on quality of life (QOL). Using the Health Promotion Model as a guide, a cross-sectional, correlational design was used to describe relationships among individual characteristics and experiences (age, gender, race, severity of illness, resilience), behavior-specific cognitions and affect (self-efficacy, barriers, social support), behavioral outcomes (health promoting lifestyle), and QOL in this patient population. One hundred and twenty participants were recruited from three clinics at Virginia Commonwealth University Health System. In addition to a demographic survey, participants completed a 151-item questionnaire incorporating measures resilience, severity of illness, self-efficacy, and barriers to a health-promoting lifestyle, social support, lifestyle, and QOL. Spirometric evaluation of lung function and the 6-minute walking test were also completed. Structural equation modeling was used to determine the effect of nine independent variables on QOL.Participants were white (51.2%), female (63.6%), and approximately 60.5 years old. Severity of illness, characterized by symptoms and functional capacity, suggested they were not severely ill (mean = 3.18, S.D.= 2.69). They were somewhat resilient (mean = 136.01, S.D.= 23.01), had adequate social support (mean = 68.10, S.D.= 19.95), were uncertain about their competency (self-efficacy) to manage their health (mean = 24.91, S.D.= 4.92), sometimes experienced barriers (mean = 33.33, S.D.= 9.02), and sometimes included attributes of a healthy lifestyle in their lives (mean = 123.93, S.D.= 25.22). Their QOL was fair to poor (mean = 6.10, S.D.= 2.39).A series of analyses using structural equation modeling was conducted. The first model that was tested did not fit the data χ2(df = 13)= 67.989,p = 0.000, GFI = 0.895, CFI = 0.781, RMSEA = 0.189). Next, modification indices were use to reexamine for fit. Using the recommended modifications, a good fit model was obtained χ2(df = 9)=5.016, p = 0.833, GFI = 0.992, CFI = 1.0, RMSEA = 0.0); however, non-significant paths were present. An alternative model was tested and fit the data very well χ2(df=18)= 10.011, p = 0.932, GFI = 0.981, CFI = 1.0, RMSEA = 0.0). The independent variables explained about 45.1% of the variance in health-promoting lifestyle. All the variables explained 45.3% of variance in QOL. The most significant predictor of a healthy lifestyle was social support (0.383) and the most significant predictor of QOL was self-efficacy (0.364). The findings confirmed the utility of the HPM.

Event history analysis is the most prevalent modeling technique used to model event occurrence with longitudinal data (Cox & Oakes, 1984; Menard, 1991; Singer & Willett, 1993, 2003). An alternative is to model longitudinal data within the SEM framework, known as latent variable growth modeling (McArdle, 1988; Meredith & Tisak, 1990), which can provide a more robust framework. Whether or not a student remains in college presents an appropriate context within which to examine the modeling of event occurrence with longitudinal data. The purpose of the study was to compare event history and latent growth modeling as for predicting change in college student perseverance, with college student persistence literature serving as the framework. Students are defined as having persevered if they have earned hours and the end of the semester rather than if they are enrolled at the beginning of the semester, which is the traditional definition of persistence.The population for the study was the 2001 and 2002 cohorts of first-time, full-time freshmen at a large mid-Atlantic urban research university. Stopouts and transfer students were excluded. Data was analyzed for the first five semesters for each cohort. The results showed that parameter estimates were quite consistent across model type and time frame and were mostly consistent with previous research. No one method outperformed the others in terms of predicting correct classification. Using event history analysis with the structural equation modeling framework, however, appeared to be a very promising alternative to event history analysis with logistic regression since one can model error term and examine the differential effects of predictors at each time period. Finally, while latent growth modeling did not outperform the other methods in predictive classification, the study demonstrated it can be used for event occurrence analysis to test more complex theories.