O presente trabalho traz um estudo no âmbito de Geração de Língua Natural, com ênfase na tarefa de Geração de Expressões de Referência (GER), a qual consiste em gerar expressões referenciais semelhantes às produzidas por humanos. Existem estudos que exploram o uso da variação individual do ser humano no aprendizado do padrão de seleção de conteúdo na construção de descrições, contudo, treinar tais conjuntos de dados é computacionalmente caro. O trabalho apresenta um modelo de seleção de conteúdo para GER, baseado em traços de personalidade, o qual generaliza padrões de comportamentos referenciais similares em cada perfil de personalidade. Na pesquisa também realizou-se um levantamento bibliográfico sobre o tema, e construiu-se um córpus com expressões de referência contendo informações de personalidade de cada participante, as quais foram anotadas tomando por base o modelo dos Cinco Grandes Fatores. Este córpus tem como finalidade ser utilizado como entrada tanto no modelo desenvolvido, como em outros estudos na área. Os resultados comprovam que modelos de GER dependentes da personalidade superam os algoritmos GER tradicionais, e que são uma alternativa viável em abordagens que dependam da variação de locutores / The present work presents a study in the field of Generation of Natural Language, with emphasis on the task of Generation of Reference Expressions (GER), which is to generate reference expressions similar to those produced by humans. There are studies that explore the use of individual human variation in learning the pattern of content selection in the construction of descriptions, however, training such datasets is computationally expensive. The paper presents a content selection model for GER based on personality traits, which generalizes patterns of similar referential behavior in each personality profile. The research also carried out a bibliographic survey on the subject, and a corpus was constructed with reference expressions containing personality information of each participant, which were annotated based on the model of the Five Great Factors. This corpus is intended to be used as an input in both the developed model and other studies in the area. The results show that personality-dependent GER models exceed traditional GER algorithms, and are a viable alternative in approaches that depend on the variation of speakers

This thesis strives to examine firstly if migration is a significant adaptation strategy to the experience of abundant precipitation, and secondly whether under-five mortality works attenuating or enhancing when being an intermediating factor. With cross-country panel data for precipitation and migration percentage for 169 countries over the world for the time period 1950-2005, a fixed effect model has been created for both parts of the analysis — in the first one to estimate the effects of abundant precipitation on migration flows, and in the second one to examine if and how the mortality rates of children under the age of five works as driver on the effect between abundant precipitation and migration. The results illustrated a positive and significant effect of precipitation on migration when same-year data was used. For the five-year lag data and the ten-year lag data, the null hypothesis which indicates that there is no relationship between the variables could not be rejected, but there were still results that indicated that the migration goes up in a five-year perspective and decreases in a ten-year perspective. The results from the first part of the analysis do not illustrate enormous effects. For the second part of the analysis, results show that the effect of precipitation on under-five mortality does, in contrary to the stated hypothesis, implicate an attenuation as opposed to an enhancement of the effect of precipitation on migration. Due to low precision and non-significant results, it is not possible to determine how exactly the effects are directly affecting each other. This thesis has however helped to prove that one can reject that the effects are strongly enhancing each other.

Social psychology has a long tradition of studying the personality traits associated with subjective well-being (SWB). However, research often depends on a priori but unempirical assumptions about how to (a) measure the constructs, and (b) mitigate confounded associations. These assumptions have caused profligate and often contradictory findings. To remedy, I demonstrate how a computational psychology paradigm-predicated on large online data and iterative analyses-might help isolate more robust personality trait associations. At the outset, I focussed on univariate measurement. In the first set of studies, I evaluated the extent researchers could measure psychological characteristics at scale from online behaviour. Specifically, I used a combination of simulated and real-world data to determine whether predicted constructs like big five personality were accurate for specific individuals. I found that it was usually more effective to simply assume everyone was average for the characteristic, and that imprecision was not remedied by collapsing predicted scores into buckets (e.g. low, medium, high). Overall, I concluded that predictions were unlikely to yield precise individual-level insights, but could still be used to examine normative group-based tendencies. In the second set of studies, I evaluated the construct validity of a novel SWB scale. Specifically, I repurposed the balanced measure of psychological needs (BMPN), which was originally designed to capture the substrates of intrinsic motivation. I found that the BMPN robustly captured (a) dissociable experiences of suffering and flourishing, (b) more transitive SWB than the existing criterion measure, and (c) unique variation in real-world outcomes. Thus, I used it as my primary outcome. Then, I focussed on bivariate associations. The third set of studies extracted pairs of participants with similar patterns of covarying personality traits-and differing target traits-to isolate less-confounded SWB correlations. I found my extraction method-an adapted version of propensity score matching-outperformed even advanced machine learning alternatives. The final set of studies isolated the subset of facets that had the most robust associations with SWB. It combined real-world surveys with a total of eight billion simulated participants to find the traits most prevalent in extreme suffering and flourishing. For validation purposes, I first found that depression and cheerfulness-the trait components of SWB-were highly implicated in both suffering and flourishing. Then, I found that self-discipline was the only other trait implicated in both forms of SWB. However, there were also domain-specific effects: anxiety, vulnerability and cooperation were implicated in just suffering; and, assertiveness, altruism and self-efficacy were implicated in just flourishing. These seven traits were most likely to be the definitive, stable, drivers of SWB because their effects were totally consistent across the full range of intrapersonal contexts.

Despite the relatively consistent finding that Conscientiousness, Agreeableness and low Neuroticism are associated with the practice of health-promoting behaviors, the reasons for these linkages are not well understood. This prospective study addressed this gap by taking a self-regulation resource perspective on why these traits relate to health-promoting behaviors by examining the role of higher positive relative to negative state affect. Students completed baseline (N = 330), and two week follow-up (N = 195) surveys. Bootstrapping analyses of the indirect effects of each of the three traits on Time 2 health behaviors were significant in the expected directions, with Kappa squares ranging from .11 to .13. In the full longitudinal analyses controlling for Time 1 health behaviors, the indirect effects of Conscientiousness and Agreeableness through affect balance on Time 2 health behaviors were positive and significant, whereas the indirect effects through Neuroticism were negative and significant after accounting for the Time 1 practice of health behaviors. These findings provide a process-oriented understanding of how Big Five traits are linked to health-promoting behaviors and extend previous research supporting a self-regulation resource perspective on personality and health behaviors.

This study examined the construct validity of the RiTE as a multidimensional measure of spirituality in relation to the five-factor model of personality in a sample of 325 college students. Results of correlational and regression analyses provided support for the notion that the dimensions of ritualistic, theistic, and existential spirituality tapped by the RiTE, are empirically distinguishable. Overall, our findings provide further evidence for the construct validity of the RiTE and for the potential value of measuring spirituality as a multidimensional phenomenon in the study of religious processes.

Sugar intake continues to be connected to an increased risk of heart diseases, diabetes, arthritis, and certain forms of cancers, depression, and schizophrenia. The purpose of the study was to examine if sugar intake is related to personality traits in the Millennial population. The health belief model was used as the theoretical framework for conducting the study. The research questions addressed in the current study were in regards to the relationships between Millennials daily sugar intake and openness, conscientiousness, extraversion, agreeableness, and neuroticism. This study was a cross-sectional design in which a panel of randomly selected United States Millennials (N = 106) between the ages of 18-34 were requested to complete a demographic questionnaire and the Big Five Inventory. The survey was conducted online using SurveyMonkey. Multiple linear regression was used to test the five stated hypotheses. Study results indicated no significant relationship between sugar intake and the five personality traits (p > .05). A sequential multiple regression model after controlling for age and gender indicated no significant relationship between the five personality traits and Sugar Intake (p > .05). In effecting positive social change, further investigations are warranted to establish the relationships between personality traits and sugar intake which may help to inform policy to reduce the associated health risks of consuming high sugar.

In the United States, over 50% of restaurants fail within the first 5 years of operations resulting in approximately $2.1 billion annually in lost national sales revenue. The purpose of this multiple case study was to explore the strategies used by owners of nonfranchise, casual dining restaurants to ensure sustainability longer than 5 years. The study was grounded in Porter's 5 forces framework as a lens for identifying effective strategies that promote restaurant sustainability. The data collection process comprised gathering data and information via semistructured interviews with 3 owners of nonfranchise, casual dining restaurants in the mid-Atlantic region who sustained their restaurants for longer than 5 years. Also, a review of archival records, including restaurant websites, newspaper advertisements, social media, and promotional documentation ensued. Member checking ensured the accuracy of participant responses in the data analysis process, and methodological triangulation was used to increase understanding and validity of data. Three themes emerged from data analysis: offering quality food and exceptional service, respecting and encouraging employees, and participating in day-to-day operations. The findings of this study promote positive social change by supporting local farmers, providing nutritious food to consumers, developing positive community relationships, and providing a safe place to socialize and meet friends.

In Chapter 1, the staggered nature of the adoption of interstate bank branching deregulation in the United States is utilized as an exogeneous shock to investigate the managerial incentives involved in corporate socially responsible (CSR) activities. Using Kinder, Lydenberg, and Domini Research & Analytics, Inc. for our CSR measures, we find a significant negative relation between the extent of deregulation and CSR practices, which implies that deregulation-led rising competition in product market makes the non-financial firms more concerned about protecting interests of shareholders than other stakeholders. Specifically, firms with low pricing power tend to significantly reduce their CSR activities. Our results are robust using alternative empirical specifications and CSR measures. Chapter 2 investigates the interaction between price stability and financial stability for “Fragile Five” countries. In the first step, we investigate the causation linkage between price stability and financial stability indicators. In the second step, we analyze the effect of financial stability instruments, lending rate and required reserve ratio, on price stability. We then test the price stability instrument policy rate on financial stability. Empirical findings, in the first step, indicate that there is no meaningful relationship between policy objectives in the short run, while the relation between financial stability and price stability occurs in the longer time frequencies. However, the situation is not valid for all economies. In the second step, we measure the effects of monetary policy tools employed by the central bank of each of the Fragile Five countries. The findings from the analysis that investigates the effects of each policy instrument imply that the policy rate instrument implemented to achieve the inflation target does not affect the financial stability goal. Similarly, the reserve requirement ratio instrument to achieve the financial stability goal does not affect the price stability goal. On the other hand, results give some implication about the negative effects of the lending rate instrument on the inflation targeting objective.

With a growing interest in sustainability, organizations and researchers have begun to examine pro-environmental behaviors in the workplace (i.e. employee green behaviors). However, general understanding of employee green behaviors is currently limited due to a lack of measurement tools. In this study, a new scale was developed to measure employee green behavior descriptive norms, which are a source of influence on employee green behaviors that develops from observing others’ behaviors. Initial items and expected scale structure for the Employee Green Behavior Descriptive Norms Scale were developed based on the Green Five Taxonomy of employee green behaviors. Items were refined through pilot test data and a retranslation task. Data on the refined scale, the Ethical Leadership Questionnaire, and a Work-Family Culture Scale were used to test scale structure and gather evidence of construct validity. Study results supported the expected scale structure and construct validity of the newly developed scale. A multi-item, validated scale contributes to organizational assessment of employee green behavior descriptive norms and contributes to the scientific literature on employee green behaviors.

High occurrences of student incivilities are a growing concern in the K-12 education system. This problem may be directly impacted by systems thinking and inconsistent school policy enforcement. At a local high school, this problem affected student learning outcomes and teacher-student interpersonal relationships. The purpose of this case study was to explore the perceptions of teachers and administrators regarding consistency in discipline policies and practices, as well as student incivilities as they related to Senge's 5 disciplines. The conceptual framework for this study was Senge's 5 disciplines of organizational learning: systems thinking, mental models, team learning, shared vision, and personal mastery. Using a case study design and responsive interviews, data from discipline procedure documents and data on student incivilities were collected from 9 teachers in Grades 9-12, as well as 2 administrators. The data were analyzed using Hatch's interpretive method. Findings indicated discipline policies and practices were ineffective and inconsistent, due to poor systemic communication structures and lack of classroom management. A recommendation was made to implement systemic classroom management policies and Positive Behavior Intervention and Support trainings. Positive social change occurs when administrators and teachers implement the systemic policies and trainings identified in this study in order to motivate students to change their patterns of incivility and, as a result, focus on learning.