When people access online health information, unfortunately, they have access to both clinically accurate and inaccurate information that they may then utilize to make informed personal health decisions. This research fills a gap in the literature of online health communities as they relate to chronic obstructive pulmonary disease (COPD). The conduct of this research required a multi-phased and multi-method approach, best presented in three distinct essays. In Essays 1 and 2, data gathering within two online health communities specific to COPD allowed this study to address three research questions: (1) what are the information needs of COPD patients that result in their participation in online health communities; (2) what are the information sources offered to the participants in these online communities; and (3) is the information obtained via those communities credible. Essay 1 harvested data from a moderated website hosted by a non-profit organization for patients with COPD and Essay 2 harvested data from a non-moderated Facebook group also serving this unique group. Data Miner, a Chrome extension designed to extract data, was used to collect data, key words and themes which brought an understanding of the health information needs of participants and identified what health information sources were preferred. …

Living and working abroad is one of the best ways to grow and learn about who you are and who you can become. The purpose of the project is to develop and articulate a radical reflexive praxis within the paradigm of the lived experiences of a Black female expatriate Christian mathematics educator. Grounded in the epistemological tradition of Black feminist thought, this study defines the intersectionality of my identity as a Black woman mathematics educator and explores ways it informs my interaction with students, parents and colleagues and inspires the quality of my instruction delivered in and out of the classroom setting. Through the qualitative practice of autoethnography, the use of personal narratives and field notes tell the story because storytelling adds context and allows the reader to both comprehend and participate in the experience. These narratives of re-reflection are used to explain how each of these identities were parlayed from a place of knowing and being known. Teaching is largely a white female Christian dominated profession and the tendency of the profession to propagate the traditional white male leader prototype confirms the need for more research for and by Black women educators. The rate of Black women yielding a …

Compromised validity of test data due to exaggeration or fabrication of cognitive deficits inhibits the capacity to establish appropriate conclusions and recommendations in neuropsychological examinations. Detection of feigned neurocognitive impairment presents a formidable challenge, particularly for evaluations involving possibilities of significant secondary gain. Among specific populations examined in this domain, litigating mild traumatic brain injury (mTBI) samples are among the most researched. One subpopulation with potential to contribute significantly to this body of literature is that of retired athletes undergoing fixed-battery neuropsychological evaluations within an assessment program. Given the considerable prevalence of concussions sustained by athletes in this sport and the substantial monetary incentives within this program, a unique opportunity exists to establish rates of feigning within this population to be compared to similar forensic mTBI samples. Further, a fixed battery with multiple validity tests (VT) offers a chance to evaluate the classification accuracy of an aggregated VT failure paradigm, as uncertainty abounds regarding the optimal approach to the recommended use of multiple VTs for effort assessment. The current study seeks to examine rates of feigned neurocognitive impairment in this population, demonstrate prediction accuracy equivalence between models based on aggregated VT failures and logistic regression, and compare classification performance of …

This dissertation contributes to IS research by explaining user intentions while using AR features in mobile social networking and retail app contexts. It consists of three essays, which use partial least squares modeling to analyze different consumer behavior models. The first essay examines the influence of quality, human, and environmental factors on AR reuse intention in a mobile social networking context. The second essay introduces position relevance, a new construct essential to AR research in e-commerce, and it looks at the influence of this construct and app involvement on user purchase intention, while using view-in-room features on mobile retail apps. The third essay examines the influence of service quality and visual quality on recommendation intention of mobile retail apps while using view-in-room features compared to shopping without using these AR features.

Due to changes in workforce structure, household structure and the nature of jobs, today's working adults face the challenge of balancing their work and life. However, employees do not only passively react to the incompatible demands from work and life - they are active agents who make decisions about their own total life. For example, individuals make decisions about the amount of energy that they spend on work/life (WL) activities. Thus, I write three essays to understand the antecedents and consequences of employees' personal resource allocation decisions. In the first essay, I study the decision itself. That is, I identify and examine four profiles of employees' WL behavioral involvement. The studied behaviors include job behavioral involvement, organizational citizenship behavior, and life involvement. In Essay 2, I examine the antecedent of the behavioral involvement decisions – WL value, which is expressed as centrality, importance, and priority. Although an individual's behavior is argued to be directed by value, it cannot be fully understood without considering the context. Thus, I examine the influences of three external factors, including financial pressure, job demands, and perceived organizational supportive culture, on the value-behavioral involvement relationship. In Essay 3, I focus on the consequences of individuals being …

Previous research has individually assessed parallel analysis and minimum average partial for factor retention in exploratory factor analysis using ordinal variables. The current study is a comprehensive simulation study including the manipulation of eight conditions (type of correlation matrix, sample size, number of variables per factor, number of factors, factor correlation, skewness, factor loadings, and number of response categories), and three types of retention methods (minimum average partial, parallel analysis, and empirical Kaiser criterion) resulting in a 2 × 2 × 2 × 2 × 2 × 3 × 3 × 4 × 5 design that totals to 5,760 condition combinations tested over 1,000 replications each. Results show that each retention method performed worse when utilizing polychoric correlation matrices. Moreover, minimum average partials are quite sensitive to factor loadings and overall perform poorly compared to parallel analysis and empirical Kaiser criterion. Empirical Kaiser criterion performed almost identical to parallel analysis in normally distributed data; however, performed much worse under highly skewed conditions. Based on these findings, it is recommended to use parallel analysis utilizing principal components analysis with a Pearson correlation matrix to determine the number of factors to retain when dealing with ordinal data.

Individuals with a minority sexual identity, such as lesbians, gay men, and bisexuals (LGB) face increased risk for stigmatization surrounding their sexual identities and subsequent psychological distress. Sexual minorities of color (SMOC) face the same difficulties faced by White sexual minorities, often compounded with stigma and discrimination linked to their racial/ethnic identities. However, because SMOC remain underrepresented in research on LGB issues, empirically-driven knowledge about these groups is lacking, even among outcomes where noted disparities exist, such as depression. Emerging adulthood may be a particularly important period for understanding effects of intersectional identities and discrimination among SMOC, who often navigate identity-related milestones and experiences independently for the first time within this developmental period. This study examined the relationships between discrimination based upon racial/ethnic and sexual intersecting identities and depression symptoms among emerging adults, as well as ways that group identity factors (ethnic identity, sexual identity, conflicts in identity allegiances) moderated this relationship. Findings indicated that experience of intersectional discrimination was strongly, positively related to depression symptoms. Ethnic identity negatively related to depression independently, but not in the regression model accounting for other variables. Identity factors were not found to statistically significantly moderate the relationship between discrimination and depression symptoms. Discussion …

Cultural heritage institutions, including galleries, libraries, museums, and archives are increasingly digitizing physical items and collecting born-digital items and making these resources available on the Web. Metadata plays a vital role in the discovery and management of these collections. Existing frameworks to identify and address deficiencies in metadata rely heavily on count and data-value based metrics that are calculated over aggregations of descriptive metadata. There has been little research into the use of traditional network analysis to investigate the connections between metadata records based on shared data values in metadata fields such as subject or creator. This study introduces metadata record graphs as a mechanism to generate network-based statistics to support analysis of metadata. These graphs are constructed with the metadata records as the nodes and shared metadata field values as the edges in the network. By analyzing metadata record graphs with algorithms and tools common to the field of network analysis, metadata managers can develop a new understanding of their metadata that is often impossible to generate from count and data-value based statistics alone. This study tested application of metadata record graphs to analysis of metadata collections of increasing size, complexity, and interconnectedness in a series of three related …

The current study was conducted with foreign language students enrolled in the summer course at Middlebury Institute of International Studies (MIIS), an intense foreign language program. The study measured and analyzed students' preferences toward mobile applications for learning a foreign language. Survey questionnaires were used to collect data on students' preferences of mobile delivery modes for learning a foreign language. The research design deployed was single-case design at two points-in-time, called repeated measures design in the t-test statistics, where effects-over-time of treatment (i.e., using a technological device) were tracked. The effects-over-time of using a mobile device for learning foreign language skills were significant and the magnitude of differences in students' attitudes between Weeks 2 and 8 was also significant. Students must have felt that their performance had changed at Week 8 and that using a smartphone could have been the difference. The structure and the research methodology of having null hypotheses that are tested statistically are both clear enough to provide a template for a replication of the study with a different sample. The statistical tests used by this study can be replicated with different research problems or a different audience.

Short novel in the fantasy genre centered around the son of a single mother in small-town Texas who becomes apprenticed to a witch to learn magic.

With the reliability requirements of automobile microelectronics pushing towards near 0 ppb levels of failure control, halide induced corrosion issues in wire bonded devices have to be tightly controlled to achieve such a high reliability goal. With real-time corrosion monitoring, for the first time we demonstrated that the explosive H2 evolution coupled with the oxygen reduction reaction, occurring at the critical Al/Cu interfaces, is the key driving force for the observed aggressive corrosion. Several types of passivation coating on Cu wire surfaces to effectively block the cathodic H2 evolution were explored with an aim to disrupt this explosive corrosion cycle. The properties of the protective coating were evaluated using various analytical techniques. The surface coating exhibited high thermal stability up to 260 °C (evaluated using TGA analysis). A uniform, highly hydrophobic coating (surface contact angle of >130° with water), was achieved by carefully controlling CVD parameters such as time of deposition, surface control of Cu metal, amount of inhibitor compound loading, temperature of coating process etc. FTIR spectroscopy combined with corrosion screening was used to optimize the CVD passivated coating with strong chemisorption. SEM and EDX, XPS were carried out on various coated surfaces to understand the composition and selectivity …

Petrie and Greenleaf's sociocultural model proposes that athletes experience unique sport environment pressures regarding weight, body size/shape, eating and appearance that increases their risk of developing disordered eating (DE) attitudes and behaviors. Although research in cross-correlational studies has looked at prevalence of eating disorders (ED) and DE behaviors in different sport types, such pressures are likely to vary by sport depending on its unique environment and performance demands. For instance, female athletes in leanness sports experience more body dissatisfaction and societal appearance pressures compared to those in nonleanness sports. Because these effects have been established primarily with female athletes, I examined ED/DE correlates from Petrie and Greenleaf's model with 695 collegiate male athletes who represented five sport types (endurance, ball game, power, technical, weight-dependent) based on a well-established categorization system. Through a series of one-way MANCOVAs (BMI serving as the covariate), I found that sport types were significantly different from each other on all ED/DE correlates except for negative affect. Follow-up analysis revealed that power, endurance, and weight-dependent athletes showed the greatest number of significantly different group centroids, demonstrating distinct profiles among the sport types in their experiences of the ED/DE correlates. Discussion focuses on possible explanations for the research …

Performance-based contracting (PBC) redefines the relationships between suppliers and buyers and differs from traditional contracting approaches with its reward/payment scheme, emphasis on the performance outcomes, increased supplier autonomy, and transfer of risk and responsibilities to suppliers. Given the 70% of life cycle costs of products/systems reside in sustainment, PBC has led to substantial improvements in availability, maintainability, reliability, and thus total cost of ownership of systems/products. Though PBC has changed the way of doing business and its presence has increased across multiple industry, private and public sectors, for profit and not-for-profit, its implications on various aspects of logistics and supply chain management have been understudied. It is important to explore and establish evidence regarding these implications through academic rigor. Therefore, this three-essay dissertation aims to give some insight regarding structural and behavioral implications of PBC using a multi-method approach. Specifically, it (1) explores the relationship between PBC and supply chain resilience (SCRES), (2) examines the supplier goal commitment (i.e., motivation) in PBC, (3) proposes a mathematical model to find optimal contract length, periodic contract price and investment that concurrently maximizing supplier profit and satisfying buyer requirements. This dissertation offers theoretical and managerial contributions as well.

Possession is an asymmetric semantic relation between two entities, where one entity (the possessee) belongs to the other entity (the possessor). Automatically extracting possessions are useful in identifying skills, recommender systems and in natural language understanding. Possessions can be found in different communication modalities including text, images, videos, and audios. In this dissertation, I elaborate on the techniques I used to extract possessions. I begin with extracting possessions at the sentence level including the type and temporal anchors. Then, I extract the duration of possession and co-possessions (if multiple possessors possess the same entity). Next, I extract possessions from an entire Wikipedia article capturing the change of possessors over time. I extract possessions from social media including both text and images. Finally, I also present dense annotations generating possession timelines. I present separate datasets, detailed corpus analysis, and machine learning models for each task described above.