Mexico's cultural norms have been the subject of repeated inquiries because democratic and authoritarian patterns appear concomitantly. However, few have focused on the potential demographic and contextual sources of these divergent results. This study attempts to clarify the sources of Mexico's political culture, and then determine the extent to which these factors affect political participation. Statistical analysis of a LAPOP dataset from 2006 makes limited progress to this end. The sources of Mexican political culture remain somewhat a mystery, although some intriguing results were found. Most notably, demographic traits appear to have little influence on political culture variables and political participation rates in Mexico. In fact, political culture norms and political participation appears consistent across Mexico's infamous social and economic lines.

Epidemiologists engage in the study of the distribution and determinants of health-related states or events in human populations. Eventually, they will apply that study to prevent and control problems and contingencies associated with the health of the population. Due to the spread of new pathogens and the emergence of new bio-terrorism threats, it has become imperative to develop new and expand existing techniques to equip public health providers with robust tools to predict and control health-related crises. In this dissertation, I explore the effects caused in the disease dynamics by the differences in individuals’ physiology and social/behavioral characteristics. Multiple computational and mathematical models were developed to quantify the effect of those factors on spatial and temporal variations of the disease epidemics. I developed statistical methods to measure the effects caused in the outbreak dynamics by the incorporation of heterogeneous demographics and social interactions to the individuals of the population. Specifically, I studied the relationship between demographics and the physiological characteristics of an individual when preparing for an infectious disease epidemic.

Past research has shown how personality characteristics and demographics influence the likelihood of couples and individuals participating in marital interventions. However, these studies do not focus on the factors that influence men’s participation and are limited to their respective sample frames, making them difficult to generalize to a population. A nationally representative, population-level study of newlywed males may help to provide more generalizable insights regarding the factors that influence men’s participation in marital interventions. The current study had two purposes. First, this study sought to examine the personality and demographic factors that influenced the likelihood of men participating in a variety of marital interventions. Second, this study attempted to provide a demographic description of men who participated in marital interventions. A sample of 2,150 men were drawn from a nationally representative random probability sample known as the CREATE survey. Binary and multinomial logistic regression analyses were used to address the research questions. A total of three factors were found to be influential in the likelihood of men participating in marital interventions – religiosity, depressive symptoms, race/ethnicity. This study provides an in-depth view as to how men’s religiosity largely influenced the likelihood of them participating in marital interventions, nationwide. Such conclusions have valuable potential to help practitioners understand, in detail, how men’s religiosity may influence men to participate in marital interventions.

Participants in randomized control trials (RCTs) should be representative of those most likely to experience the disorder of focus, yet reviews of psychology research studies consistently find certain demographic groups are overrepresented at the price of others being unincluded. The present review aimed to characterize the demographic representation of US-based RCTs for gambling disorder and compare findings to the population of individuals most likely to experience the disorder. Thirteen US-based RCTs comprising a total of 2,343 participants were reviewed. We found that although gambling disorder is most prevalent among low SES racial minorities, RCTs are mostly conducted among populations who are white, employed, and have some level of college education. Demographic variables that are related to the likelihood of experiencing gambling disorder are not consistently reported, and there are many groups of individuals who experience gambling disorder that have been virtually left out of all treatment study samples to date. We conclude with recommendations for future gambling focused treatment studies, which are geared towards increasing the convergence between characteristics of participants in RCTs and those who experience gambling disorder in the United States.

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Intimate partner sexual violence (IPSV) is a public health problem andprimarily affects women. Almost 30% of all women who have been in arelationship with a man, have experienced physical or sexual violence by theirpartner in their life. Even though sexual violence is being investigated inIndia, the determinants of sexual violence are thus far little investigated,specifically the determinants of IPSV. The purpose of the study was toexamine the demographic and socioeconomic determinants of IPSV againstwomen in India. The study was carried out using a quantitative method basedon secondary data from the National Family Health Survey 4 (NFHS-4). Thevariables used was age, residential area, education, religion, wealth index andemployment (current/all year/seasonal). Descriptive statistics, Chi-square testand a multivariate logistic regression analysis were used to analyze the data.The results indicated that younger women experienced more IPSV than olderwomen, and women in rural areas lived through more IPSV than women inurban areas. However, were women with urban residency were more likely tobe exposed to IPSV, which indicates that urban residency can be a risk factorfor sexual violence. A remarkable finding was that the prevalence of IPSVamong working women was higher (9%) than nonworking women (6%), butthat the adjusted ORs showed no correlation between working status andIPSV. Current study has added further evidence of IPSV in India, usingnationally representative samples. Younger women with lower educationshould be emphasized and seen as a risk group for IPSV. An in-depth studyregarding the partner’s characteristics in India is warranted and an importantstep to chart additional determinants for IPSV. / <p>Betyg i Ladok 201214.</p>

Cryptocurrencies have since the creation in 2008 constituted a unique and modern addition tothe financial setting throughout the world. Such assets are commonly known to be associatedwith great risk but also the possibility of great reward. The corresponding research field hasadapted to the evolution of cryptocurrencies and has for over a decade undergone a constantexpansion. Despite this, there is still plenty of unexplored territory within the particular researcharea and this report seeks to examine a part of it. The central topic of this paper concernscryptocurrencies in relation to Swedish retail investors’ different demographic factors and theeffect those have on investment strategy and behavior. To examine this, the report centersaround two main aspects, the investment purpose which cryptocurrency investors associatetheir investments with and investors’ exposure to herd behavior. Additionally, both aspectswere put in relation to various demographic factors to allow an analysis of whether demographicfactors affect the investors’ strategy and behavior. A quantitative method was used for theprocess of collecting data whereby a survey was constructed and replied to by Swedish retailinvestors active in the cryptocurrency market. The primary data obtained was analyzed andpresented through descriptive statistics, t-Tests, and regression models. By interpreting theresults, it was evident that demographic factors were found to not influence the investmentpurpose or the herd behavior of investors. This contradicts previous findings regardingtraditional markets e.g., the stock market where demographic factors are established as factorsaffecting both aspects. Hence, this report suggests that there are differences between thecryptocurrency market and traditional markets. Further, the research conducted in this paperindicates that a majority of investors associate cryptocurrency investments with speculativetrading and there is also a strong bias toward herd behavior among Swedish retail investorsactive in the cryptocurrency market.

Indiana University-Purdue University Indianapolis (IUPUI) / The emergence of the global SARS-CoV-2 pandemic created tremendous impact on humanity beginning in late 2019. Public health researchers at Indiana University Richard M. Fairbanks School of Public Health responded by conducting research into the etiological profile of the virus, including a large Indiana state-wide population-based prevalence study in early 2020. Methods Data on demographics, tobacco use, health status, and reasons for participating in the population prevalence study were used to conduct three retrospective cross-sectional studies. The first study assessed the association of self-reported health and tobacco behaviors with COVID-19 infection (n=8,241). The second study used successive wave analysis to assess nonresponse bias (n=3,658). Finally, participants demographics were characterized by who responded to text, email, phone calls, or postcards and by the number of prompts needed to elicit participation (n= 3,658). Results The first study found self-identified health status of those reporting “poor, “fair” or good” had a higher risk of past or current infections compared to “very good” or “excellent” health status (P <0.02). Positive smoking status was inversely associated with SARS-CoV-2 infection (p <0.001). When assessing the sample for non-response bias (n=3,658), 40.9% responded in wave 1 of recruitment, 34.1% in wave 2 and 25.0% in wave 3 for an overall participation rate of 23.6%. There were no significant differences in response by waves and demographics, being recently exposed or reasons for participating. In the final study, compared to males, females made up 54.6% of the sample and responded at a higher rate to postcards (8.2% vs. 7.5%) and text/emails (28.1 vs. 24.6%, 2= 7.43, p 0.025); and responded at a higher percentage after 1 contact (21.4 vs. 17.9%, 2 = 7.6, p 0.023). Conclusion This research contributed to the scientific understanding of the etiological picture of SARS-CoV-2. Additionally, the current study used a novel method that public health practitioners can easily implement to detect non-response bias in primary data collection without advanced statistical methods. Finally, the current study allows researchers to focus not only on the modality of inviting participants, but the frequency of invitations needed to secure specific populations, reducing time and resources.

Nonprofit organizations rely upon volunteers to assist in achieving their mission and reaching strategic operational goals. As the volunteer population in the United States has decreased, nonprofit organizations are challenged to recruit and retain volunteers. To improve operational efficiencies in nonprofit volunteer management, organizations need to implement more effective strategies to assign roles to volunteers and develop a better understanding of how those roles fit into volunteers' lives and the value systems of individual volunteers. The functional theory of volunteer behavior characterizes the values, understanding, social, career, protective, and enhancement functions as they relate to an individual's motivation for volunteering. To investigate how active volunteer demographics related to self-reported ratings of personal and social motivational functions, a multivariate analysis of variance, with designated follow-up post hoc tests, was used to address the research questions and associated hypotheses to provide a basis to make comparative statistical analysis to determine volunteer needs, values, and purpose based on age cohort, sex, race/ethnicity, and socioeconomic status. It was found that the functional aspect, career, was a significant determinate when focused on the demographics of age, gender, and socioeconomic status. Additionally, an interaction emerged with sex and age with career, social, understanding, and enhancement functional aspects. The results of the study will foster positive social change by increasing the understanding of how volunteer behavior impacts volunteer retention and recruitment, facilitating nonprofit organizations in their ability to effectively match volunteer skills with assignment, thereby maximizing their impact and longevity within the organization.

Numerous studies have been completed on the academic ability of student athletes. Since the mid 1980s, the NCAA has emphasized the importance of academics and mandated more stringent requirements to be able to participate in intercollegiate athletics. These initial-eligibility standards have been successful in increasing overall graduation rates of student-athletes, but there remain a number of concerns. The purpose of the study was to determine if an NCAA D-I freshman student athlete's place of residency on campus, as opposed to off campus, while attending college during his/her freshman year had a statistically significant relationship to achievement as it relates to academic performance. The continued purpose of the study examined the relationship between selected socio-demographic components to academic performance in NCAA D-I freshman student athletes and how this relationship may have directly related to their academic performance during their freshman year. Participants completed the informed consent along with a questionnaire to aid in determining what academic and socio-demographic variables were related to academic performance (N = 205). Based on the results of this study, it was concluded that living on or off campus had no relationship with how the freshman student athletes performed academically. The best individual correlations with academic performance were high school GPA, gender, and ACT scores. These relationships proved to be a moderate relationship because an r value of .75 or greater was not reached. High school GPA, ethnicity, gender, absences unexcused, and ACT scores did enter a stepwise multiple regression equation, but could only explain 55% of the variance for that equation. Statistically 60% is an acceptable level for predicting academic performance in the study. However, it should be noted that 55% of the variance is relevant for those individuals who deal with the academic performance (i.e., athletic administrators, academic advisors, university faculty, parents, etc.) of student athletes to encourage the use of these variables to predict a student athlete's academic success. The other remaining variables showed only a low or very low relationship to a freshman student athlete's academic performance.