After decades of research, a host of analytical difficulties is still hindering our understanding of the influences of the built form on travel. The main challenges are (a) assembling good quality data that reflects the majority of the known influences and that supports continuous monitoring, and (b) making sense methodologically of the many variables which strongly intercorrelate. This study uses the UK national travel survey (NTS) data that is among the most comprehensive of its form in the world. The fact that it has rarely been used so far for this purpose may be attributable to the methodological difficulties. This dissertation aims to develop a new analytical framework based on extended structural equation models (SEMs) in order to overcome some of the key methodological difficulties in quantifying the influences of the built form on travel, and in addition to provide a means to continuously monitor any changes in the effects over time. The analyses are focused on employed adults, because they are not only the biggest UK population segment with the highest per capita travel demand, but also the segment that are capable of adapting more rapidly to changing land use, built form and transport supply conditions. The research is pursued through three new models. Model 1 is a path diagram coupled with factor analyses, which estimates continuous, categorical and binary dependent variables. The model estimates the influences on travel distance, time and trip frequency by trip purpose while accounting for self-selection, spatial sorting, endogeneity of car ownership, and interactions among trip purposes. The results highlight stark differences among commuters, particularly the mobility disadvantages of women, part time and non-car owning workers even when they live in the most accessible urban areas. Model 2 incorporates latent categorisation analyses in order to identify a tangible typology of the built form and the associated variations in impacts on travel. Identifying NTS variables as descriptors for tangible built form categories provides an improved basis for investigating land use and transport planning interventions. The model reveals three distinct built form categories in the UK with striking variations in the patterns of influences. Model 3 further investigates the variations across the built form categories. The resulting random intercept SEM provides a more precise quantification of the influences of self-selection and spatial sorting across the built form categories for each socioeconomic group. Four research areas are highlighted for further studies: First, new preference, attitude and behavioural parameters may be introduced through incorporating non-NTS behavioural surveys; Second, the new SEMs provide a basis for incorporating choice modelling where the utility function is defined with direct, indirect and latent variables; Third, conceptual and methodological developments – such as non-parametric latent class analysis, allow expanding the current model to monitor changes in travel behaviour as and when new NTS or non NTS data become available. Fourth, the robustness of the inferences regarding causal or directional influences may require further quantification through designing new panel data sets, building on the findings above.

Essa pesquisa possui como principal objetivo o estudo dos personagens de marca à luz da teoria do Vale da Estranheza, tendo em vista que personagens considerados estranhos podem influenciar a recepção (SPADONI, 2000; TINWELL, 2014). Desde a publicação seminal de Masahiro Mori em 1970, autor que propôs que robôs muito parecidos com seres humanos evocam uma reação aversiva (MORI; MACDORMAN; KAGEKI, 2012), foi demonstrado que essa reação ocorre sempre que um estímulo não pode ser categorizado como não-humano ou humano (SAYGIN et al., 2012). As implicações sobre as apropriações teóricas dessa abordagem pelo campo da comunicação são exploradas no decorrer dos dois primeiros capítulos. Para mensurar o efeito da estranheza sobre a atitude, foram utilizadas duas escalas: uma escala criada por Ho e MacDorman (2010; 2016) para mensurar a estranheza, e uma escala de atitude criada por Martin et al. (2004). Um total de 396 pessoas responderam a pesquisa online, predominando mulheres (60%), pessoas do Estado de São Paulo (58%), com Ensino Superior Completo ou mais (80%) e média de 29 anos. Foram utilizados os procedimentos de validação de escala para adaptar a escala da estranheza ao contexto brasileiro (DEVELLIS, 2003). Os resultados sugerem a existência de um modelo de estranheza bifatorial com 4 fatores. Contudo, o modelo de segunda ordem com a variável dependente não passou no teste de ajuste exato e aproximado do modelo. Entende-se que essa pesquisa faz contribuições relevantes às Ciências da Comunicação por lançar mão de uma teoria complementar às pesquisas do campo, e de uma metodologia pouco utilizada pelas pesquisas da área. / This research have as a main objective the study of brand characters in light of Uncanny Valley theory, regarding that brand characters that are considered eerie can influence reception (SPADONI, 2000; TINWELL, 2014). Since Masahiro Mori seminal article, in 1970, when the author propose that characaters who appear almost, but not exactly, like real human beings elicit feelings of eeriness and revulsion among some observers, has been show that this reaction occurs always when an stimuli cannot be categorized as human or non-human (SAYGIN et al., 2012). The theoretical implication of this approach by Communication Studies are explored in Chapter 1 and Chapter 2. To measure the uncanny effect toward attitude, two scales has been used: one developed by Ho and MacDorman (2010; 2016) to measure the uncanny, and second to measure attitude developed proposed by Martin et al. (2004). 396 participantes were recruited and answered the online survey, prevailling women (60%), people from São Paulo State (58%), people with Graduate Degree (80%) and an average of 29 years old. Procedures for scale validation has been used to adapt the Uncanny Valley scale to brazilian contexto (DEVELLIS, 2003). The results suggest that the existence of an bifactorial model of Uncanny with 4 factors. However, the second order model with an dependent variable cannot be accepted by statistical índices of exact and approximation test. It is understood that this research makes relevant contributions to the Communication Sciences by using a theory complementary to the field, also by using a methodology that has not been used by other researchs of the area.

Work-life balance is a key indicator of employee satisfaction, retention, and social health as well as organizational creativity and productivity. These dual benefits for employee and employer have generated interest in promoting work-life balance. Supervisors who operate from a transformational leadership framework have been linked to greater work-life balance among employees (Lamm, 2011; (Kutilek, Conklin, & Gunderson, 2002). The role of a supportive organizational culture is also central (Lewis, 2001). In this study, Cooperative Extension Service agents (N = 1390) participated in a nationwide survey exploring the relationship between rated levels of transformational leadership among district directors, work-life balance, and work-life balance organizational culture. The results from confirmatory factor analyses indicate these three separate dimensions. The findings from the structural equation model demonstrate that all paths, except transformational leadership to personal life interference with work, are statistically significant. Work-life balance organizational culture is the largest contributor to the total effect of these associations. This study confirms that the supervisor and organizational culture join together to forge an important alliance of support for work-life balance among subordinates. Findings reveal the need for additional study of specific ways leaders foster positive work-life balance organizational culture.

The purpose of this research was to compare results from two approaches to measuring change over time. The multilevel model (MLM) and latent growth model (LGM) were imposed and the parameter estimates were compared, along with model fit. The study came out of education and used data collected from 191 teachers as part of a professional development intervention in science, which took place over four years. There were missing data as a result of teacher attrition. Teachers reported use of reform-oriented practices (ROP) was used as the outcome, and teacher-level variables were examined for their impact on initial ROP and change in ROP from baseline to one year after the intervention. Change in ROP was examined using a piecewise change model where two linear slopes were modeled. The first slope estimated the change from baseline to T1, or the initial change after the intervention while the second slope estimated the change from T1 to T3, or the secondary change. Parameter estimates obtained from MLM and LGM for a model using the error covariance structure commonly assumed in MLM (i.e., random slopes, homogeneous level-1 variance) were nearly identical. Models with various alternative covariance structures (commonly associated with the LGM framework) were examined, and results were nearly identical. Most of the model fit information was in agreement regarding the best fitting model being the model that assumed the typical MLM error covariance structure with the exception of the standardized root mean square residual (SRMR) fit index. The results from the models demonstrated that ROP increased after participating in the first year of the intervention and this level was sustained, though did not increase significantly in subsequent years. There was more variation in ROP at baseline. This information tells us that the intervention was successful in that after participating in the intervention the teachers' used ROP more frequently. The success of the intervention did not depend on any of the predictors that we assessed, and, as a group, the teachers became more similar in their use of reform-oriented practices over time.

In order to personalize or tailor treatments to maximize impact among different subgroups, there is need to model not only the main effects of intervention but also the variation in intervention impact by baseline individual level risk characteristics. To this end a suitable statistical model will allow researchers to answer a major research question: who benefits or is harmed by this intervention program? Commonly in social and psychological research, the baseline risk may be unobservable and have to be estimated from observed indicators that are measured with errors; also it may have nonlinear relationship with the outcome. Most of the existing nonlinear structural equation models (SEM’s) developed to address such problems employ polynomial or fully parametric nonlinear functions to define the structural equations. These methods are limited because they require functional forms to be specified beforehand and even if the models include higher order polynomials there may be problems when the focus of interest relates to the function over its whole domain. To develop a more flexible statistical modeling technique for assessing complex relationships between a proximal/distal outcome and 1) baseline characteristics measured with errors, and 2) baseline-treatment interaction; such that the shapes of these relationships are data driven and there is no need for the shapes to be determined a priori. In the ALV model structure the nonlinear components of the regression equations are represented as generalized additive model (GAM), or generalized additive mixed-effects model (GAMM). Replication study results show that the ALV model estimates of underlying relationships in the data are sufficiently close to the true pattern. The ALV modeling technique allows researchers to assess how an intervention affects individuals differently as a function of baseline risk that is itself measured with error, and uncover complex relationships in the data that might otherwise be missed. Although the ALV approach is computationally intensive, it relieves its users from the need to decide functional forms before the model is run. It can be extended to examine complex nonlinearity between growth factors and distal outcomes in a longitudinal study.

This thesis investigates the relationship between labour market statuses and well-being in the UK working age population, and the moderating role of the Great Recession. Research on the relationship between labour market statuses and well-being outcomes identifies negative associations with unemployment and economic inactivity. These findings are typically presented as independent of macroeconomic conditions, but to what extent does this assumption hold? The central proposition of this thesis, is that economic crises moderate the way in which labour market statuses affect well-being, thereby changing the value of statuses, not just their prevalence. The main research question addressed is ‘for the UK working age population, to what extent did labour market and employment statuses contribute to the greater or lesser effects of the economic crisis (2007/8–2011) on well-being, compared to the pre-recession ‘boom’ period (2003/4–2006/7)?’I make use of a national panel data series from the British Household Panel Survey and Understanding Society. Firstly, after critiquing the reliance on subjective well-being (SWB) measures, confirmatory factor analysis is used to develop a measure of positive psychological health, representing a single dimension of well-being. This is then compared to a measure of SWB in a series of latent growth models to investigate individual trajectories over the study period. Secondly, multilevel models are used to estimate the relationship between five labour market and employment statuses and positive psychological health, comparing the pre-recession and recession periods. Finally, a dynamic structural equation modelling approach is used to investigate selection and causation in the relationship between labour market status and positive psychological health. Aggregate positive psychological health was associated with a recession period decline, in contrast to SWB which remained stable. Labour market statuses were found to moderate the impact of recession. People who were economically inactive were associated with the largest declines in positive psychological health during the recession period, compared to the pre-recession period, followed by those in standard employment. In contrast, the relationship between non-standard employment and unemployment and positive psychological health remained constant over time. Finally, despite evidence of selection into labour market statuses, the findings show a strong causal impact of statuses on positive psychological health. The findings provide a different take on those hardest hit by recession, showing that some of the most vulnerable to low psychological health were most exposed to the impact of recession by virtue of their labour market status. The protective value of standard employment was also diminished relatively. Evidence in favour of a causal interpretation suggests policy makers should use employment and welfare policy to prevent an accumulation of welfare issues.

Essa pesquisa possui como principal objetivo o estudo dos personagens de marca à luz da teoria do Vale da Estranheza, tendo em vista que personagens considerados estranhos podem influenciar a recepção (SPADONI, 2000; TINWELL, 2014). Desde a publicação seminal de Masahiro Mori em 1970, autor que propôs que robôs muito parecidos com seres humanos evocam uma reação aversiva (MORI; MACDORMAN; KAGEKI, 2012), foi demonstrado que essa reação ocorre sempre que um estímulo não pode ser categorizado como não-humano ou humano (SAYGIN et al., 2012). As implicações sobre as apropriações teóricas dessa abordagem pelo campo da comunicação são exploradas no decorrer dos dois primeiros capítulos. Para mensurar o efeito da estranheza sobre a atitude, foram utilizadas duas escalas: uma escala criada por Ho e MacDorman (2010; 2016) para mensurar a estranheza, e uma escala de atitude criada por Martin et al. (2004). Um total de 396 pessoas responderam a pesquisa online, predominando mulheres (60%), pessoas do Estado de São Paulo (58%), com Ensino Superior Completo ou mais (80%) e média de 29 anos. Foram utilizados os procedimentos de validação de escala para adaptar a escala da estranheza ao contexto brasileiro (DEVELLIS, 2003). Os resultados sugerem a existência de um modelo de estranheza bifatorial com 4 fatores. Contudo, o modelo de segunda ordem com a variável dependente não passou no teste de ajuste exato e aproximado do modelo. Entende-se que essa pesquisa faz contribuições relevantes às Ciências da Comunicação por lançar mão de uma teoria complementar às pesquisas do campo, e de uma metodologia pouco utilizada pelas pesquisas da área. / This research have as a main objective the study of brand characters in light of Uncanny Valley theory, regarding that brand characters that are considered eerie can influence reception (SPADONI, 2000; TINWELL, 2014). Since Masahiro Mori seminal article, in 1970, when the author propose that characaters who appear almost, but not exactly, like real human beings elicit feelings of eeriness and revulsion among some observers, has been show that this reaction occurs always when an stimuli cannot be categorized as human or non-human (SAYGIN et al., 2012). The theoretical implication of this approach by Communication Studies are explored in Chapter 1 and Chapter 2. To measure the uncanny effect toward attitude, two scales has been used: one developed by Ho and MacDorman (2010; 2016) to measure the uncanny, and second to measure attitude developed proposed by Martin et al. (2004). 396 participantes were recruited and answered the online survey, prevailling women (60%), people from São Paulo State (58%), people with Graduate Degree (80%) and an average of 29 years old. Procedures for scale validation has been used to adapt the Uncanny Valley scale to brazilian contexto (DEVELLIS, 2003). The results suggest that the existence of an bifactorial model of Uncanny with 4 factors. However, the second order model with an dependent variable cannot be accepted by statistical índices of exact and approximation test. It is understood that this research makes relevant contributions to the Communication Sciences by using a theory complementary to the field, also by using a methodology that has not been used by other researchs of the area.

Este Estudo procura compreender a instalação e os efeitos da “sociedade de consumo”, emergente nas últimas três décadas, sobre a confiança interpessoal no interior das organizações, do ponto de vista do quadro gerencial. Objetiva, adicionalmente, propor meios para tornar a confiança aspecto redutor da vulnerabilidade do homem no ambiente das organizações. O contexto da “sociedade de consumo” é analisado pelas categorias institucionais “dinamismo econômico” e “tranqüilidade social”, que reconfiguram o grau de interdependência das pessoas no trabalho e trazem novos riscos e incertezas aos relacionamentos. Esse ambiente pode tanto atuar em favor da maior produtividade, quanto debilitar a coesão e os laços de cooperação no trabalho, o que implica reconstruir o conceito de confiança interpessoal sobre bases que agregam aspectos relacionados ao nível de análise, à natureza dos relacionamentos e às expectativas entre os atores envolvidos no processo de confiança. Os resultados das análises sugeriram a existência de uma ordem implícita para manifestação da confiança no interior das organizações: variáveis do ambiente economicamente dinâmico influenciam as variáveis da tranqüilidade social, que condicionam a confiança interpessoal. Além disso, observou-se que a confiança reduz a percepção de vulnerabilidade no trabalho, de maneira a criar um ciclo virtuoso: estimula a noção de possibilidade, que mobiliza para a ação, resultando em realizações e reconhecimento, que diminuem a complexidade do ambiente, não só tornando-o mais previsível, mas também alimentando a percepção de menor vulnerabilidade. / This study aims to understand both the establishment and effects of the “consumer society”, a phenomenon that has increased over the last three decades, on interpersonal trust in organizations from the perspective of managers. Additionally, it aims to propose means of transforming trust into an aspect that reduces vulnerability when taking part in an organization’s complex environment. The “consumer society” condition is analyzed under the institutional categories of “economic dynamism” and “social tranquility”. These interfere in people’s interdependence in their jobs and bring new risks and uncertainties to relationships. This environment can either help to increase productivity or to debilitate cohesion and cooperation in the workplace. This implies reconstructing the concept of interpersonal trust upon foundations that combine aspects related to the level of analysis, the nature of relationships and the expectations of the people involved in the process of trust. The results of the analysis suggested the existence of an implicit order for the manifestation of trust within organizations. The economically dynamic environment variables influence the social tranquility variables, which in turn cause interpersonal trust. It was also observed that trust reduces the perception of vulnerability in the workplace and creates a positive cycle. Trust stimulates the notion of possibility, which triggers action, resulting in accomplishments and recognition. This reduces the environment’s complexity, making it become more predictable while reinforcing the perception of less vulnerability.

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Das menschliche Gehirn ist ein komplexes System, dessen Komplexität von großer funktioneller Bedeutung. Das APOE ɛ4 Allel ist ein gut untersuchter genetischer Risiko-Faktor für die Ausbildung der Alzheimer’schen Demenz. Das wesentliche Ziel dieser Dissertation ist die Untersuchung der Verbindungen zwischen der Komplexität von Hirn-Signalen, APOE-Genotyp und kognitiver Leistung bei jungen gesunden Erwachsenen unter dem Gesichtspunkt individueller Unterschiede. Nachdem ich in der ersten Studie die Reliabilität der Residual Iteration Decomposition (RIDE), einer Methode zur Analyse von Gehirnsignalen, validiert hatte, im der zweiten Studie untersuchte ich, wie APOE-Genotypen mit der Komplexität des Gehirnsignals assoziiert sind, gemessen mit Multiscale Entropy (MSE) und kognitiven Fähigkeiten. Die zweite Studie zeigte, dass APOE ɛ4 mit einer höheren Entropie im Skala 1 bis 4 und einer niedrigeren Entropie im Skala 5 und darüber assoziiert ist; Darüber hinaus gibt es bei ε4-Trägern einen stärkeren Abfall der MSE von geschlossenen zu offenen Augen als bei Nicht-Trägern. Die ε4-Assoziation mit der kognitiven Leistung war komplex, aber im Grunde scheint ε4 mit einer schlechteren kognitiven Leistung bei Menschen mit niedrigerem Bildungsstand verbunden zu sein, während bei Hochschulabsolventen keine solche Assoziation auftrat. Anschließend verband die dritte Studie MSE mit einer anderen kognitiven Domäne - Gesichts- und Objekterkennungsfähigkeiten. Wir haben gezeigt, dass 1) eine erhöhte MSE bei geschlossenen Augen auf allen Skalen mit einer besseren kognitiven Leistung verbunden ist. 2) Eine erhöhte MSE in höheren Skalen war mit einer engeren Kopplung zwischen der RIDE-extrahierten Geschwindigkeit der Bewertung des Stimulus für einen einzelnen Versuch und der Reaktionszeit verbunden. Zusammenfassend, die Ergebnisse verbanden die Komplexität des Gehirnsignals, den APOE-Genotyp und das kognitive Verhalten bieten ein tieferes Verständnis der Gehirn-Verhaltens-Beziehungen. / Human brain is a complex dynamical system, whose complexity could be highly functional and characterize cognitive abilities or mental disorders. The APOE ɛ4 allele is a well-known genetic risk factor for the development of Alzheimer’s Disease and cognitive decline in later human life. The main goal of this study is to investigate the bridges between brain signal complexity, APOE genotype and cognitive performance among young adults under the framework of individual difference. After validating the reliability of Residue Iteration decomposition (RIDE), a method for analysis brain signals in the first study, I investigated in the second study how individual differences in APOE genotypes are associated with brain signal complexity measured with Multiscale Entropy (MSE) and cognitive ability. The second study demonstrated that APOE ε4 is associated with higher entropy at scale 1-4 and lower entropy at scale 5 and above, especially at frontal scalp regions and in an eyes open condition; in addition, there’s a stronger drop in MSE from closed to open eyes condition among ε4 carriers than non-carriers. The ε4 association with cognitive performance was complex, but basically ε4 seems to be associated with worse cognitive performance among lower educated people, whereas no such association appeared among the higher educated. Afterwards, the third study connected MSE with a different cognitive domain – face and object cognition abilities. We showed that 1) increased MSE for a closed eyes condition at all scales is associated with better cognitive performance. 2) Increased MSE at higher scales (7 or 8) was associated with tighter coupling between RIDE-extracted single trial stimulus evaluation speed at the neural level and reaction time at the behavior level. To summarize, the results of my doctoral study connected brain signal complexity, APOE genotype and cognitive behavior among young healthy adults, providing a deeper understanding of brain-behavior relationships and – potentially – for early AD diagnosis when cognitive decline is not yet evident.