Carer-employees are defined as individuals who provide unpaid care to a disabled / ill dependent person(s) while working full-time in the paid labour force. In Canada, there are 6.1 million carer-employees, many of which are experiencing work-life balance struggles, which may result in ill-health. To minimize negative impacts, there is interest in developing caregiver-friendly workplace policies (CFWPs) as an intervention strategy to improve CEs’ work-life balance. However, the effectiveness of CFWPs are still in their infancy and often only focus on the work dimension. One of the most critical dimensions that have not yet been assessed is the activity-travel behaviour of carer-employees, which is largely impacted by the assisted-transport demands of their care-recipient. To contribute to filling in this gap, this dissertation addresses the following objectives: 1) develop an activity-travel behaviour profile of carer-employees using sociodemographic and caregiving characteristics; 2) identify spatial locations with potentially high assisted-transport demand while suggesting new areas to improve mobility independence of care-recipients, and; 3) create and apply a mixed-methods framework that classifies the actual activity-travel behaviour of carer-employees. The purposes of all three objectives are to: contribute to closing the literature gap; visually inform decision-makers and health planners, and; efficiently develop caregiver-friendly transport policies (CFTPs). Highlighted findings show that carer-employees conducting assisted-transport have lower income and are more likely to be tired and overwhelmed than those not performing the transport task (Objective 1). In Hamilton metropolitan area, 38% of the older adult population are not within immediate reach to a vital service, and another 15% are located in potentially high assisted-transport demand areas. Suggested areas for service implementation would improve access for older adults by 18% (Objective 2). Lastly, the framework has classified and ranked three types of activity-travel behaviours (Objective 3). All of these findings have led to the discussion of a multi-pronged implementation strategy for uptake of CFTPs. / Dissertation / Doctor of Philosophy (PhD)

This dissertation is composed of three essays that analyze the significance of the Food Stamp Program (FSP) for low-income households. The first essay entitled “Intensity of Food Stamp Use and Transient and Chronic Poverty: Evidence from the Panel Study of Income Dynamics” examines the impact of intensity of use of FSP benefits on household exposure to transient and chronic poverty with respect to food and housing expenditures. The study finds that FSP is used for both long-term expenditure support and as a smoothing mechanism before the welfare reform, and only for smoothing expenditures after the welfare reform. Factors that influence both components of poverty are number of children, human capital, minority status and local economic conditions. Another finding is that shorter recertification periods reduce the length of FSP use, and indirectly result in higher poverty. The second essay entitled “The End of the Paper Era in the Food Stamp Program: The Impact of Electronic Benefits on Program Participation” documents the impact of the implementation of the statewide Electronic Benefits Transfer (EBT) system on household participation behavior in the entire period of nationwide implementation. The major finding is that the switch from paper coupons to EBT cards induces participation among eligible households, most likely by reducing the stigma associated with FSP participation. The effect of the EBT system on participation probabilities is the largest among households residing in the rural South, those not headed by a single mother or those with a White household head. The third essay entitled “The Dynamics of Food Stamp Program Participation: A Lagged Dependent Variable Approach” investigates the existence of state dependence and its sources by analyzing the dynamics of participation in the FSP using a lagged dependent variable approach. Results show that FSP receipt in the previous period is an important determinant of current FSP receipt. Estimated persistence rates declined significantly after 1996, suggesting that long-term welfare dependency was reduced after the welfare reform, at least with respect to the FSP. The source of state dependence in FSP participation among low-income households is mostly structural implying that a welfare trap does exist for these households. / Ph. D.

Current marketing channel literature overwhelmingly suggests that entering exchange relationships leads to positive outcomes for the exchange parties. Yet, not all exchanges employ relational exchange. Thus, research appears to lack an understanding of the boundary conditions of successful relational exchange. This dissertation contributes to filling this gap by clarifying what is understood as relational exchange and differentiating it from vertical integration. Here, a two-dimensional perspective on exchange structure is offered that integrates our view of relational exchange and extends the conceptualization of vertical integration beyond sole ownership. To derive boundary conditions of relational exchange the literature on interorganizational relationships is integrated into six determinants and two key outcomes of relational exchange. These boundary conditions thus represent the facilitating circumstances that make relational exchange viable and the outcomes of relational exchange that exchange partners seek to achieve. / Ph. D.

The evaluation of risk is a fundamental aspect of decision-making and influences important outcomes, such as in the domain of financial and health behavior. In many economic applications, risk attitudes are assumed to be inherently stable. Nonetheless, behavioral tasks that elicit risk preferences have shown temporal inconsistencies. The instability of risk preferences can be attributed to several factors such as the way information is presented (framing effects), personal past experiences, and experienced emotions. We conduct four studies in this dissertation to shed light on the state dependency of risk attitudes and on the decision process of risky choice. Chapter 2 examines, using a laboratory experiment, how high stakes in risky choices influence physiological arousal, as measured via skin conductance, pulse rate and pupil size, and attention, as measured via gaze bias and saccades. We link the changes in arousal and attention accompanying high stakes to changes in risk aversion. Moreover, we develop and test a Sequential Sampling Model (SSM), the arousal-modulated Attentional Drift Diffusion Model (aADDM), linking reaction time and choice while allowing attention and its interaction with arousal to modulate the evaluation process of risky alternatives. High stakes caused changes in attention toward the safe option's attributes, heightened physiological arousal, and increased risk aversion. Results from the aADDM, demonstrate that the values of the high attributes are discounted when participants attend to the low attributes, with arousal amplifying this process further. Chapter 3, using a laboratory experiment, investigates how incentives and emotional experiences influence the adaptation process across high and low volatility contexts in risky choice. Due to the brain's computational capacity limitations, perception is optimized to detect differences within a narrow range of stimuli. We show that this adaptation process is itself context-dependent, with stronger incentives, heightened arousal, or more unpleasant feelings increasing payoff responsivity under high volatility. Chapter 4, using survey data, focuses on fear responses during the COVID-19 pandemic and risk perception of the health- and financial-related consequences of the crisis. We show that women report higher fear of the COVID-19 pandemic compared to men, modulating the gender differences in preventative health behaviors. Women also perceive the health risks of COVID-19, and not financial risks, to be greater than men. Chapter 5, using vignette experiments, demonstrates that betrayal aversion, or hesitancy regarding the risk of being betrayed in an environment involving trust, is an important preference construct in the decision to become vaccinated and is not accounted for by widely used vaccine hesitancy measures. We show that people are significantly less willing to get vaccinated when the associated risk involved the vaccine actively contributing to the cause of death. We also find that betrayal aversion is amplified with an active role of government or scientists. Moreover, we test an exogenous intervention that increases willingness to vaccinate without mitigating betrayal aversion. JEL codes: D81, D83, D87, D91, I12, J16 / Doctor of Philosophy / Many decisions involve varying levels of uncertainty and perceived reward like investing in a risky asset or getting a vaccination during a pandemic. These risky decisions, however, require consuming scarce brain resources. In addition, one's own feelings that are altered by the decision context itself or are naturally occurring during daily activities may influence risky decision-making. The scientific mission of this dissertation is to advance our understanding on how the decision context and experienced emotions influence not only risky decisions but also the way by which the decisions are being made. Our results show that real and high monetary rewards reduce financial risk-taking while altering attention and the perception of information. We also find that stronger incentives activate changes in the autonomous nervous system, such as a racing heart rate, increased sweating, or pupil dilation, and increase self-reports of emotional arousal. Importantly, we demonstrate, via computational modeling and experimental analysis, the role of emotional responses in modulating both attention and value perception of rewards in risky choice. In other words, we find that emotional experiences play an important role in adapting the process by which rewards are evaluated and perceived. Since significant life events, such as experiencing the COVID-19 pandemic, can lead to substantial uncertainty and emotional distress, we collected survey data upon the crisis' onset to investigate the impact on different aspects of behavior including adherence to prevention measures and willingness to get vaccinated. We find that women, compared to men, reported higher fear of the COVID-19 pandemic and perceived greater negative health risks of the crisis. We attribute observed differences in adherence to prevention measures between men and women to gender differences in emotional responsivity to the pandemic. In addition, we demonstrate the importance of contextual factors, which drive feelings associated with the risk of betrayal, in the decision to become vaccinated. Taken together, the findings in this dissertation highlight the integral role of emotional experiences, which vary with incentives or because of previous experiences, in decision-making under risk.

This study investigates variation in preferences for mutual emotional dependence and togetherness in heterosexual romantic relationships among adults in the United States specifically considering the impact of race, gender, gender ideology, and cohort on preferences. A social structure and personality framework and concepts from exchange theory are used to interpret and predict relationship preference patterns found using binary hierarchical logistic regression analysis of data from the 1996 General Social Survey's (GSS) gender and emotions modules. Gender, gender ideology, cohort, and specific sociodemographic variables, such as education and marital status were found to impact preferences for mutual emotional dependence, however, no racially distinct patterns were found. The variables in the models explain less of the differences in preferences for togetherness than emotional dependence. However, education had a curvilinear relationship with preferences for togetherness, as people with the lowest and the highest educations were least likely to prefer togetherness. / Master of Science

The goal of this research was to explore the relationship between the undergraduate degree profile (practical vs. liberal arts) and environmental factors (institutional and state level) at regional comprehensive universities (RCUs) from 2006-2020. Neoliberal policies have dominated the higher education environment for the last 40 years and this has increased the pressure on institutions. RCUs represent a subset of the higher education population that have historically been responsive to environmental changes. They also tend to be more tuition dependent. This study examined the changes in the degree production and funding at RCUs and utilized a fixed effects panel analysis to estimate the relationship between changes in the degree production and environmental factors at the institutional and state level. RCUs have experienced an increase in the percentage of practical arts degrees awarded and in their tuition dependence. However, tuition dependence was not shown to have a significant impact on the degree production. Several institutional factors and state factors were shown to be significantly related to increases in practical arts degree production. Institutions with the highest increases in the percentage of practical degrees also had increases in tuition revenue per (full time equivalent) FTE 12-month. At the state-level, unemployment rate, the percentage of college education people and increases in personal income were correlated with increases in practical arts production.

Dependence measures are frequently applied in neuroimagining studies as a tool for analysis and classification of fMRI data. The aim of this thesis is to evaluate an algorithm for its use in classifying fMRI data using dependence measures. The focus is on evaluating the algorithm under a few changes, for example without adding voxel-based tests in voxel selection, for future use in classification. Additionally, the thesis aims to compare the performance of two dependence measures, the RV coefficient and its modified version. The classification performance of the algorithm is evaluated on a simulated fMRI data as well as resting-state and task-based fMRI data sets. On simulated fMRI data the algorithm yields an estimated accuracy of 81.41 percent versus 75.00 percent for the classifier using the RV coefficient and the modified RV coefficient, respectively. However, when evaluated on real fMRI data the estimated accuracy is close to, or even lower, than 50 percent. This indicates that the classification performance is not far from what would be expected from a classifier picked at random. It is expected that implementing additional tests to select a subset of voxels, to use in the classification step of the algorithm, may prove helpful. Further, some differences in classification performance of the RV coefficients are found. Based on the observed differences it is not possible to conclude that one measure can be preferred over the other.

Alleghany County, an extractive community, has depended heavily upon a single paper mill known as MeadWestvaco for over a century. The purpose of this study is to explore the degree to which MeadWestvaco utilizes paternalism and economic coercion as forms of power to control and maintain community quiescence regarding the company's negative environmental impact in Alleghany County. This paper mill has negatively affected Alleghany County relative to other Virginia communities. However, there has been very little local action against the paper mill's environmental impact. To define and recognize paternalism and economic coercion, I undertake a historical analysis of the cotton textile industry of the Southern Piedmont and coal mining industry of Southern Appalachia, where these systems of power have been documented. In applying the indicators of paternalism and economic coercion found in these nearby Southern industries to Alleghany County, Virginia, I find that MeadWestvaco utilizes both strategies to some degree to control and influence community awareness of and response to the company's environmental damage. / Master of Science

Predicting fatigue failure is a critical design element for many engineering components and structures subject to complex service conditions. In high-temperature and corrosive environments, many materials exhibit rate dependent phenomena that can significantly alter safe service life predictions. Existing cycle processing techniques such as Peak Counting, Simple Range, and the Rain Flow method are able to resolve complex service histories into sets of simple cycles, but these methods are unable to handle time-related parameters such as engage rate and cycle sequence. To address this, a cycle processor was written in FORTRAN 95 later termed the Multi-Algorithm Cycle Counter (MACC). This code was utilized as a platform to develop, test, and study various methods of extracting and interpreting rate parameters extracted from cycles defined by existing counting algorithms.

Herman Witkin's research in differentiation theory proposed a conceptual framework describing the cognitive style known as field-dependence-independence. The operational measures of this construct are restructuring skills and interpersonal competencies, and were originally conceived to be fixed in an individual. A recent reconceptualization, however, suggested that there may be some malleability in learning strategies that flow from cognitive style. Learners predisposed to field dependence might gain access to restructuring skills brought to problem-solving Situations by field independents. Thus this study undertook to examine the effects and practicability of restructuring training as a means of addressing individual learner differences. Community college students were identified on the field-dependence-independence continuum using the Hidden Figures Test. Students in the experimental group received training in use of restructuring strategies. All participants were given subsequent tasks requiring the employ of restructuring strategies. These posttest tasks included a visual disembedding task, a verbal disambiguating task, and a task of visual perspectivism. Training effect was observed in field dependents for all three test tasks. / Ed. D.