Depression in mothers is an important risk factor for behavioral and emotional problems in their children (Elgar, McGrath, Waschbusch, Stewart, & Curtis 2004), and disrupted parenting is thought to mediate the influences of maternal depression on children. This 4-year longitudinal study examined whether mothers’ depression predicted parenting of children with behavioral problems across the preschool years. This study attempted to tease apart the correlates of enduring, chronic maternal depressive symptoms from those of transient depressive symptoms on parenting during the preschool years. In particular, it sought to predict both changes in parenting across the preschool years as well as to predict parenting practices as parents and children emerge from the preschool years. Participants were 199 mothers of 3-year-old children, with behavior problems who completed measures of depression and parenting yearly until children were 6 years old. Mothers with higher average depressive symptoms across the preschool years reported more overreactivity and laxness, and showed less warmth when their children were 6 years old. These mothers were also more likely to increase their self-reported overreactivity over time. Increases in depression were associated with increases in overreactivity and laxness, but not in warmth. These results provide stronger evidence than previous cross-sectional studies for a causal relation between depression and parenting, and point to the importance of providing adequate treatment and support to depressed mothers of preschool children.

Better understanding the relationship between the results for the U.S. House of Representatives and for state executive offices could potentially be useful in predicting outcomes if a significant relationship is present and if one has more information about either the election for the U.S. House of Representatives candidate or the state executive office candidate. To better understand this relationship, election results were analyzed using regression models for three upper Midwest states - Iowa, Minnesota, and North Dakota - to compare the outcomes of the state executive office elections and the U.S. House of Representative elections. Additionally, median income was included in the models to see if this affected the relationship. Each state had a statistically significant relationship between the results of the state executive offices and the U.S. House of Representatives. Median income either was not statistically significant or not practically significant in overall effect on the relationship.

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This study examined whether measures of social capital were significant predictors of enrollment in postsecondary education for students from a low SES background. Results take the form of two articles. The first article addresses enrollment in four-year institutions of postsecondary education, and the second article addresses enrollment in two-year institutions of postsecondary education. The research questions for this study were: 1. Does probability of enrollment in a four-year postsecondary institution or a two-year postsecondary institution for low SES students differ by mean school SES? 2. Does probability of enrollment in a four-year postsecondary institution or a two-year postsecondary institution for low SES students differ by school locale? 3. When controlling for contextual or environmental variables and student background characteristics, are low SES students with higher levels of social capital more likely to enroll in a four-year postsecondary institution or a two-year postsecondary institution than low SES students with lower levels of social capital? 4. When controlling for contextual or environmental variables, background characteristics, and level of social capital does probability of enrollment in a four-year institution of postsecondary education or a two-year postsecondary institution vary by race for low SES students? When controlling for school level variables, academic achievement and preparation, and select background characteristics, low SES students with higher levels of social capital are more likely to enroll in a four-year college. Students whose parents expected them to obtain more education and those students who obtained more information about attending college were more likely to enroll in a four-year university. In the analysis of enrollment in four-year institutions of postsecondary education, African American low SES students were three times more likely to enroll in a four-year college or university than low SES Caucasian students. Only one measure of social capital, information acquisition, was significantly related to enrollment in a two-year institution of postsecondary education. No significant variability in probability of enrollment in a two-year institution of postsecondary education was observed by either of the school level variables used. Race was not a significant factor when controlling for background characteristics and the measures of social capital used in this study. / Ph. D.

Two broad influences have converged to shape a new environment in which universities must now compete and operate. Shrinking financial resources and a global economy have arguably compelled universities to adapt. The concept of academic capitalism helps explain the new realities and places universities in the context of a global, knowledge-based economy (Slaughter & Leslie, 1997). Prior to this theory, the role of universities in the knowledge economy was largely undocumented. Academic capitalism is a measurable concept defined by the mechanisms and behaviors of universities that seek to generate new sources of revenue and are best revealed through faculty work. This study was designed to create empirical evidence of academic capitalism through the behaviors of faculty members at research universities. Using a large-scale, national database, the researcher created a new measure—an estimate of academic capitalism—at the individual faculty member level and then used multi-level analysis to explain variation among these individual faculty members. This study will increase our understanding of the changing nature of faculty work, will lead to future studies on academic capitalism that involve longitudinal analysis and important sub-populations, and will likely influence institutional and public policy. / Ph. D.

Doctor of Philosophy / Department of Psychology / Clive J. A. Fullagar / Entrenched within the sphere of positive psychology, the present series of studies takes a progressive approach to understanding and furthering the practical application of constructs subsumed within the subfield of positive organizational behavior (POB). The progression begins with Study 1, which analyzes the factorial structure and psychometric footholds of the primary measurement instrument for Psychological Capital (PsyCap), one of the newer positive psychological constructs. This study suggested that both the measurement of this construct in addition to its factor structure may need to be reevaluated in order to best conceptualize the multifactorial nature of this variable. In turn, Study 2 involves resilience, one of the four aspects of PsyCap, and suggests that it may play an important role in molding employees’ work experiences. Specifically, Study 2 explores the relations between workload and eudaimonic and hedonic well-being over a two-week period, finding that workload is negatively related to eudaimonic well-being, but, interestingly, positively related to hedonic well-being. However, hypotheses suggesting that resilience and role salience may independently moderate workload’s relations with eudaimonic and hedonic well-being were not supported. Finally, recognizing the potential value of these positive psychological constructs (resilience and well-being in particular) for employers and employees alike, Study 3 aimed to develop interventions capable of increasing individuals’ positive personal resources, whereby they may enhance their ability to endure work challenges and even thrive in the face of such challenges. Findings indicated that the intervention targeting resilience did not result in significant differences between a control group and the intervention group. The intervention targeting well-being resulted in no differences in hedonic well-being, but did evidence differences on the personal growth aspect of eudaimonic well-being. Overall, these three studies taken together speak to the applicability of positive organizational behavior constructs in the workplace, and how such constructs might be enhanced in employees.

Much of the recent literature in mentoring centers on the effectiveness of volunteers who donate their time to relationships with children in need of a positive adult role model (DuBois & Karcher, 2005). Because mentors generally take on a great deal of responsibility with youth who are often at-risk either personally or academically (Commonwealth Fund, 1998; McLearn, Colasanto & Schoen, 1998; McLearn et al., 1999), researchers want to identify those variables and practices that increase the chance of a successful and beneficial relationship (Nakkula & Harris, 2005). This study examined the benefits of adult-child mentoring and looked for connections between the mentees’ growth in social competence and the relationship length, match quality, and specific mentoring strategies employed. The mentors’ perceptions of sufficiency about the match, the mentee’s additional resources, and their own abilities were also examined. A survey was distributed electronically to 890 Austin, Texas mentors about their relationships, and a separate school level survey was distributed to the 90 mentor contacts located in each school that utilizes mentors. School demographic data was also collected from the Texas Education Agency. The results indicate that longer and more high-quality matches, an increased importance placed on getting the mentee to care more about others, and spending more time with the mentee’s teachers all predict higher levels of growth in specific social competencies. The strength of the match was also a positive predictor of the mentors’ sense of sufficiency about themselves and about the impact of mentoring with their mentee. The results suggest a need for increased training in the specific caring and teacher-involvement mentor strategies, and for more discussion with mentors about the importance of committing to long-term, high-quality matches. / text

Using the G8 countries’ (Canada, France, Germany, Italy, Japan, the Russian Federation, the United Kingdom, and the United States) samples from the 2003 Programme for International Student Assessment (PISA), this study aimed to explore the phenomenon of double jeopardy in mathematics achievement for socially disadvantaged students. Double jeopardy is a situation of dual penalties where coming from low socioeconomic status (SES) families and attending low SES schools results in concurrent penalties at both the student level and school level in mathematics achievement. This study examined the phenomenon of double jeopardy in the G8 countries across four school locations: rural regions, towns, cities, and metropolitan areas. This study also examined four separate definitions of socioeconomic status in order to determine the effectiveness of each definition. The four definitions corresponded to four SES measures utilized in this study: father’s SES, mother’s SES, family occupation SES, and combined family SES. Multilevel analysis with students nested within schools indicated that significant double jeopardy effects varied according to SES measure, school location, and country. However, the majority of the double jeopardy effects across all the variables were large in magnitude. Furthermore, the combined family SES and the metropolitan school location were often the most sensitive SES measure and school location, respectively, to double jeopardy in the G8 countries.

Whether the stated goal of a program is to improve health, reduce crime, or to increase standard of living, the ultimate goal of social programs is to improve overall quality of life. An adequate measure of this outcome would help determine whether achievement of these more specific goals (e.g., health, education) really leads to improvements in overall life quality, and would allow trade-offs to be made in terms of funding across programs. However, an understanding of the determinants of life quality (i.e., the mechanism by which a program did or did not have its intended effect) is also essential to program evaluation and the design of future programs.This study constitutes the analysis of an existing dataset of individual traits, life circumstances, satisfaction with a list of 30 life domains, and overall quality of life for 193 healthy elders to test a hypothesized model of the determinants of life quality. As expected, domain satisfaction appears to be a function of life circumstances. Individuals' traits (e.g., age, sex, personality) modify this relationship, but neither they, nor respondents' reports of domain importance, appear to have any direct effect on quality of life. Instead, domain satisfactions alone are the most proximal determinants of overall quality of life. It also appears that individuals respond differently in terms of overall quality of life to reductions in satisfaction with certain domains than to increases. These findings should be evaluated further as they could affect the design of future successful programs. Because individuals' traits and individuals' ratings of domain importance seem to have no effect on the relationship between domain satisfaction and overall quality of life, it may not be essential to measure these in future studies. Finally, although the data on life domains available to this study were sufficient to generate these results, the first step in the development of adequate measures of overall quality of life and of domain satisfactions will be the construction of a comprehensive, fully-representative list of the life domains that comprise life as a whole.

This paper considers Bayesian estimation of the threshold vector error correction (TVECM) model in moderate to large dimensions. Using the lagged cointegrating error as a threshold variable gives rise to additional difficulties that are typically solved by relying on large sample approximations. Relying on Markov chain Monte Carlo methods we circumvent these issues by avoiding computationally prohibitive estimation strategies like the grid search. Due to the proliferation of parameters we use novel global-local shrinkage priors in the spirit of Griffin and Brown (2010). We illustrate the merits of our approach in an application to five exchange rates vis-á-vis the US dollar and assess whether a given currency is over or undervalued. Moreover, we perform a forecasting comparison to investigate whether it pays off to adopt a non-linear modeling approach relative to a set of simpler benchmark models. / Series: Department of Economics Working Paper Series