This study examines the widely prevalent belief that adult children desert their elders. Data which suggested considerable family support of elderly family members were collected over a period of one year through counseling families with dependent parents. These families exhibited confusion and lack of knowledge but not desertion.

Uncertainty surrounding volcanic activity can lead to socio-economic crises with or without an eruption as demonstrated by the post-1978 response to unrest of Long Valley Caldera (LVC), CA. Extensive research in physical sciences provides a foundation on which to assess direct impacts of hazards, but fewer resources have been dedicated towards understanding human responses to volcanic risk. To evaluate natural hazard risk issues at LVC, a multi-hazard, mail-based, household survey was conducted to compare perceptions of volcanic, seismic, and wildfire hazards. Impacts of volcanic activity on housing prices and businesses were examined at the county-level for three volcanoes with a “very high” threat designation from the U.S. Geological Survey (USGS); LVC, (caldera system), Mount St. Helens, WA (stratovolcano), and Kīlauea, HI (shield volcano). A negative relationship was found between volcanic risk perception and preparedness. Additionally, the perception that housing prices declined after volcano alerts was confirmed by econometric modeling.

The ongoing European Refugee Crisis has been one of the most popular trending topics on Twitter for the past 8 months. This paper applies topic modeling on bulks of tweets to discover the hidden patterns within these social media discussions. In particular, we perform topic analysis through solving Non-negative Matrix Factorization (NMF) as an Inexact Alternating Least Squares problem. We accelerate the computation using techniques including tweet sampling and augmented NMF, compare NMF results with different ranks and visualize the outputs through topic representation and frequency plots. We observe that supportive sentiments maintained a strong presence while negative sentiments such as safety concerns have emerged over time.

The emergence of social media has impacted the way people think, communicate, behave, learn, and conduct research. In recent years, a large number of studies have analyzed and modeled this social phenomena. Driven by commercial and social interests, social media has become an attractive subject for researchers. Accordingly, new models, algorithms, and applications to address specific domains and solve distinct problems have erupted. In this thesis, we propose a novel network model and a path mining algorithm called HashnetMiner to discover implicit knowledge that is not easily exposed using other network models. Our experiments using HashnetMiner have demonstrated anecdotal evidence of drug-drug interactions when applied to a drug reaction context. The proposed research comprises three parts built upon the common theme of utilizing hashtags in tweets. 1 Digital Recruitment on Twitter. We build an expert system shell for two different studies: (1) a nicotine patch study where the system reads streams of tweets in real time and decides whether to recruit the senders to participate in the study, and (2) an environmental health study where the system identifies individuals who can participate in a survey using Twitter. 2 Does Social Media Big Data Make the World Smaller? This work provides an exploratory analysis of large-scale keyword-hashtag networks (K-H) generated from Twitter. We use two different measures, (1) the number of vertices that connect any two keywords, and (2) the eccentricity of keyword vertices, a well-known centrality and shortest path measure. Our analysis shows that K-H networks conform to the phenomenon of the shrinking world and expose hidden paths among concepts. 3 We pose the following biomedical web science question: Can patterns identified in Twitter hashtags provide clinicians with a powerful tool to extrapolate a new medical therapies and/or drugs? We present a systematic network mining method HashnetMiner, that operates on networks of medical concepts and hashtags. To the best of our knowledge, this is the first effort to present Biomedical Web Science models and algorithms that address such a question by means of data mining and knowledge discovery using hashtag-based networks.

This thesis examines demographic manifestations of son preference in three parts. Part I develops a simulation model that formalises the decision to practice prenatal sex selection through a "ready, willing and able" framework. The model is calibrated to South Korean and Indian sex ratio at birth (SRB) trajectories. Simulations reveal how SRB distortions in both countries have emerged despite declining son preference due to the rapid diusion of ultrasound combined with growing propensities to abort as a result of weakening norms for large families. Part II examines the potential role of big data to indirectly estimate the SRB at the subnational level in India. States with distorted SRBs tend to display a relatively high Google search activity for ultrasound. SRB "now-casts" generated using search volumes perform better than lagged variable models in high birth registration states. Part III examines the relationship between prenatal sex selection and postnatal excess female child mortality in two studies. The first applies lifetable techniques to decompose population changes in child sex ratios into a fertility component attributable to prenatal sex selection and a mortality component attributable to sex-differentials in postnatal survival. This study finds that although reductions in numbers of excess female deaths have accompanied increases in "missing" female births in all countries experiencing SRB distortions, excess female mortality has persisted in some but not in others. The second study uses birth histories of the Demographic and Health Surveys for six countries that have witnessed SRB distortions - India, Nepal, Pakistan, Azerbaijan, Armenia and Albania - to examine if differential mortality change by sex can be explained by the uptake of prenatal sex selection. This study finds that changes in prenatal sex selection only explain mortality change in India. Across all countries, although patterns of mortality disadvantage are concentrated amongst less educated mothers, prenatal sex selection is strongest among the better educated. Differential sorting into the two behaviours offers an explanation for why the effect for prenatal sex selection is generally weak.

The purpose of this study was to ascertain the perception of school social workers’ levels of satisfaction and ways it is impacted by one or more of the following factors: the level of decision making, workload management, professional development, collaboration, and advocacy. Specifically, this study sought to determine if school social workers are satisfied with their roles in the school system and daily practice. The 130 participants of the study were district presidents who reached out to all Georgia school social workers and members of the state’s School Social Workers Association (SSWAG) which is the state’s charter of the larger national organization—School Social Workers Association of America (SSWAA). All respondents participated in the study voluntarily. The data analysis was conducted on two levels: descriptive findings and analytical procedures. The first section presented descriptive findings associated with demographic variables, the social work practice experience, and school social work settings results. The second level of the analysis tested the hypotheses under study. This section used Spearman’s Correlation Coefficient to test the strength of the relationship between the dependent variable—overall levels of satisfaction in professional practice—and each of the independent variables: perceived level of decision making, workload management, professional development, collaboration, and advocacy. The researcher found that there was a moderately strong positive correlation between the overall levels of satisfaction with professional practice and perceived level of decision making and workload management. There was a strong positive correlation with the perceived level of professional development. The perceived level of collaboration resulted in a weak positive correlation and a moderate positive correlation was found in the perceived level of advocacy. The conclusions drawn from the findings suggest that all five independent variables showed a correlation with the dependent variable. These study findings may be useful not only for school social workers but also for support staff (school psychologist, counselors, etc.) and school administrators.

Distracted driving involving secondary tasks is known to lead to an increased likelihood of being involved in motor vehicle crashes. Some secondary tasks are unnecessary and should never be performed. But other secondary tasks, e.g., operating the defroster, are critical to safe driving. Ideally, the driver should schedule when to perform the critical tasks such that the likelihood of a hazard materializing is relatively small during the performance of the secondary task. The current study evaluates a training program -- STRAP (Secondary Task Regulatory & Anticipatory Program) -- which is designed to make drivers aware of latent hazards in the hope that they regulate engagement in secondary tasks which they are performing at the time the latent hazard appears. The secondary tasks include both tasks that require drivers to take their eyes off the road (e.g., operating the defroster) and those which do not (e.g., cell phone use). Participants were assigned either to STRAP or placebo training. After training, the groups navigated eight different scenarios on a driving simulator and were instructed to engage during the drive in as many secondary tasks as possible as long as they felt safe to do so. Secondary task engagement was fully user paced. It is important to note that drivers receiving STRAP training were never instructed directly to either disengage from or not engage in secondary tasks when encountering latent hazards. The results show that STRAP trained drivers were more likely to detect latent hazards and associated clues than placebo trained drivers. With regards to secondary task engagement, STRAP trained drivers chose to limit their in-vehicle and cell phone task engagement by focusing on the forward roadway rather than the task at hand. STRAP training holds out the promise of providing individuals with the necessary skills and proactive awareness to make safe decisions regarding the non-performance or interruption of a secondary task in the presence of a potential latent hazard.

Even with clear advantages to using internet based survey research, there are still some uncertainties to which survey methods are most conducive to an online platform. Most survey method literature, whether focusing on online, telephone, or in-person formats, tend to observe little to no differences between using various survey modes and survey results. Despite this, there is little research focused on the interaction effect between survey formatting, in terms of design and framing, and public opinion on social issues, specifically child immigration policies - a recent topic of popular debate. This paper examines an anomalous result found within the 2016 Cooperative Congressional Election Study (CCES) public opinion immigration question focusing on a DACA-related policy, where support was evenly split on the typically highly favored policy. To decipher the unprecedented result, an experimental survey design was conducted via Qualtrics by comparing various survey formats (single-style, forced choice, Likert scale) and inclusionary policy details to the original CCES “select all that apply” matrix style. By comparing the experimental polls, the results indicated that the “select all that apply” matrix again produced anomalous results, while the various other methods produced a breakdown similar to typical DACA-related polling data. These findings have necessary implications for future survey designs and those examining public opinion on child immigration policies.

Religiosity is adopting a belief system surrounding concepts of purpose, meaning, and value through an institution that has already defined these concepts prior to the individual member attending and that member’s degree of participation. Religiosity does have protective factors against negative health outcomes. This protective influence was evaluated in this study. Data from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions were examined to learn about the relationship between protective effects of religious participation on substance abuse, and whether this association weakened for individuals who have experienced higher levels of childhood abuse. A binary logistic regression was completed to examine this relationship. Religiosity does decrease the likelihood of experiencing an opioid use disorder for lower levels of childhood maltreatment, but only slightly. In extreme cases of sexual, emotional, and physical abuse, religiosity does not decrease the likelihood of experiencing an opioid use disorder.

Sexual satisfaction is a major component of human behavior. Individuals in relationships have specific demands for sexual satisfaction. Relationships and societal trends may impact the standards for sexual performance. The effects of performance can result in negative transitions in relationships. Therefore, Individuals may also consider outside variables in addition to relationship status, length of relationships, sexual orientation, gender-role, and religiousness. This poster presentation will be based on a literature review. The review reveals positive effects of religiousness on sexual satisfaction for those married more than ten years. In comparison with social behaviors, gender-roles are not influenced by traditional or non-traditional beliefs. When social norms and sexual orientation are paired in correlation with satisfaction in relationships, gay men and lesbians rate higher than heterosexuals in the area of sexual satisfaction. When long-term and short-term relationships are measured based on sexual satisfaction, results indicate long-term relationships are successful due to active communication and no sexual dysfunctions.