Summative Report 2
Research Question: How do socio demographic factors influence income in the UK?
Socio demographic factors are factors such as age, sex, ethnicity, religion,which affect society and are present in statistics. These factors have a significant effect on income because a person with a university degree is able to increase their income as they may look for more specialized jobs in relevance to their degree thus allowing them to generate higher levels of income in comparison to somebody who has a lower education level for example GCSE’s who would look for jobs in line with their current qualifications. In order for me to analyse how socio demographic factors affect income I have chosen to look at 3 independent variables; Education, Gender and Religion to see the level of statistical significance in relation to income. In terms of a previous literature I have reviewed different types of literature in order to understand the relationship of these independent variables to income and have looked at the Theory of human Capital in regards to education by Becker (2009), theories that discuss the gender pay gap, and also Max Weber’s renowned book of The Protestant Ethic and the Spirit of Capitalism which examines the effect of religiosity in increasing levels of income amongst Protestants. After exploring this literature I will carry out Analysis of Variance and Regression; both linear and multiple to see how much of an impact the variables of Education,
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Income and socioeconomic status-based differences in test scores occur because of the environment in which students were raised and the ability of their parents, and contribute to racial differences because of the racial income gap. DeNavas-Walt and Proctor (2015), of the Census Bureau, reported that black and Hispanic households had incomes lower than average, while the income of Asian and white, non-Hispanic households was above average. This means that discrimination based on income and socioeconomic status is more likely to affect black and Hispanic students. Guryan, Hurst, and Kearney (2008) found that mothers with at least a college education spent an average of 4.5 hours more caring for children per week than those with a high
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A good education is vital in succeeding within many industries in the UK, from Business to Medicine, Politics to Art. It unfortunately does not come as a surprise that only 58.6% of students attained 5 or more GCSE’s at grades A* to C (Department for Education 2012). In comparison, albeit falling this year on previous years, 94.4% of students in private schools attained the same results (The Independent 2012a). Following the recent recession, Social mobility has begun to decline and is lower today than it was thirty years ago. It is now less likely that a child of parents in a low-income bracket will rise to the top-income bracket than it was in
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Hence, socioeconomic status (SES) risk factors are of particular concern because many who are affected migrate to an environment that are economically and psychologically challenging. Godman and Huang (2001) assessed whether interactive effects exist for SES and depression which help explain variation in utilization of mental health and medical services by young women and whether utilization of mental and medical health services affects prevalence of depression at follow-up. The authors also hypothesized that among young women (1) lower SES, high depressive symptoms, and a baseline depression X SES interaction effect will decrease the likelihood mental or medical health service utilization; (2) use of both mental and medical health service
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