No clear consensus exists in the scientific community of what constitutes efficient dual-tasking abilities. Moreover, the training of executive components has been given increased attention in the literature in recent years. Investigating transferability of cognitive training in a complex task setting, thirty subjects practiced for five days on a Name-Tag task (controls) or a Dual N-Back task (experimental), subsequently being tested on two transfer tasks; the Automated Operation Span and a dual task (Trail Making task + Mathematical Addition task). Dual N-Back training previously transferred to unrelated intelligence tests and in this study is assumed to rely primarily on executive attention. Executive attention, functioning to resolve interference and maintaining task-relevant information in working memory, has previously been linked to fluid intelligence and to dual-tasking. However, no transfer effects were revealed. The length of training may have been too short to reveal any such effects. However, the three complex tasks correlated significantly, suggesting common resources, and therefore having potentials as transfer tasks. Notably, subjects with the highest task-specific improvements performed worse on the transfer tasks than subjects improving less, suggesting that task-specific gains do not directly correlate with any transfer effect. At present, if transfer exists in these settings, data implies that five days of training is insufficient for a transfer to occur. Important questions for future research relates to the necessary conditions for transfer to occur, such as the amount of training, neural correlates, attention, and motivation.

Individual differences on complex memory spans predict a variety of higher-order cognitive tasks (e.g. reading comprehension, reasoning, following direction) as well as low-level attention tasks (e.g. Stroop, dichotic listening, antisaccade). The current study attempted to better determine the role of individual differences in complex memory span and episodic retrieval. Specifically, two experiments explored the possibility that individual differences in complex memory span reflect differences in the ability to successfully retrieve items from secondary memory via a cue-dependent search process. High and low complex span participants were tested in delayed (Experiment 1) and continuous distractor (Experiment 2) free recall with varying list-lengths. Across both experiments low spans recalled fewer items than high spans, recalled more previous list intrusions than high spans, and recalled at a slower rate than high spans. It is argued that low spans search through a larger set of items than high spans and, thus low spans episodic retrieval deficits are associated with an inability to use cues to guide a search and retrieval process of secondary memory. Implications for dual-component models of memory are discussed.

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A latent variable approach was used to (1) examine the relationship between working memory capacity and fluid intelligence, (2) compare the relationship between fluid intelligence and two measures of working memory capacity (complex span and n-back), (3) identify higher-order personality factors and (4) determine the relationship between higher-order personality factors, working memory capacity and fluid intelligence. Confirmatory factor analysis followed by structural equation modeling described the complex span and n-back as highly correlated yet distinct constructs. Consistent with previous research, both measures correlated highly with fluid intelligence. Four higher-order personality factors best modeled the structure of personality. Moreover, these four factors had differential relationship to cognitive constructs. The current research provides a deeper understanding of the relationship between working memory capacity and fluid intelligence, including discrepancies considering the magnitude of the relationship between two types of working memory measures and fluid intelligence, and finally, the influence of a diverse personality structure on working memory capacity and fluid intelligence. Importantly, the study examined these relationships on a broad scale using multiple tasks at a latent level contributing to better understanding of the nature of working memory capacity - fluid intelligence relationship and the influence of personality on higher-order cognition.

Public transportation, although modest in the United States carrying about 2 percent trips, still serves millions of people as the main and only means of transportation. Recently released data set by Census, the 2006 American Community Survey (ACS) shows the main mode of travel for work commute is not surprisingly the automobile with over 86 percent and public transportation with nearly 5 percent users. Transit agencies strive to provide effective, convenient, and desirable transport. Because of the constant changes in our environment, being able to predict the response of riders to different network or system changes is extremely useful. Ridership can be described as a function of the amount of service supplied such as frequency, span of service, and travel time. One of the methods for estimating ridership forecasts and evaluating ridership response is to use the new state-of-art software TBEST. TBEST stands for Transit Boardings Estimation and Simulation Tool and is the third generation of such transit models sponsored by the Florida Department of Transportation (FDOT). Designed for comprehensive transit network and short term transit planning, it offers great benefits to its users. TBEST is a user friendly, yet very advanced transit ridership forecasting graphical software which is interfaced with ArcGIS. This paper evaluates different sensitivity tests and compares the results to known industry used elasticities. Because the current TBEST experience is modest, the results will provide users with a general idea of the model's sensitivity and help in the process of model refinements. Sensitivity tests such as service frequency, span of service, service allocation, and travel time will be carried out in a systematic order for all six time periods as defined by TBEST. Results showed that TBEST Model is overestimating and is highly sensitive to headway changes, specifically headway decrease. The opposite effect of almost no sensitivity is shown for the in-vehicle travel times.

Women who have transitioned to a lesbian identity from a previously heterosexual one lack a voice in the academic literature. Identity formation in this subset of women, those who chose a heterosexual marriage, had children, and later in life self identify as lesbian, has not been fully investigated. For this project, eight women were asked to answer this question: How have you negotiated the path from heterosexuality to lesbianism? Four main themes were found dealing with heteronormativity and accountability, relationship with children, transition, and acceptance by the lesbian community. Additionally, I introduce a new term---gender-normativity---to describe these women who only after marrying, having children and raising those children, and going through a process of self-reflection, realized they wanted to make a transition and spend the rest of their lives in an intimate relationship with a woman.

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Demographic researchers have identified a crossover pattern between the mortality rates of the Caucasian-American and African-American oldest-old (80+) populations for over a century. Debate has centered on whether the crossover effect is due to age misreporting or the heterogeneity hypothesis or if it continues beyond age 99. This thesis addresses these issues by using new data from the SSA’s study of supercentenarians. The study identified 355 persons aged 110 or older whose ages could be verified, creating the first reliable American dataset for this population group. Analysis of the data has indicated that mortality rates at ages 110-115 were significantly lower for African-American supercentenarians than for their Caucasian-American counterparts, and that the African-American proportion of the population increased steadily with age. The results of this analysis show that the crossover phenomenon is multicausal and cannot be fully accounted for by age misreporting, suggesting a need to consider genetic and environmental impacts on racial variations in maximum human longevity.

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