The results suggest that the life expectancy of the sample size has increased overall from the years ranging from 1987 to 2008. For instance, the life expectancy improved in the sample from 66.3 years in 1987 to 77.24 years in 2008 (Pop et al., 2013). Life expectancy strongly upsurges among middle income countries than low-income and high-income countries (Pop et al., 2013). Moreover, income inequality also diminished by 7 percent in less industrialized and middle-income nations, but income inequality augmented in high-income nations (Pop et al., 2013). This is significant because there were higher levels of economic inequality in lesser industrialized and middle-income countries compared to the highly industrialized nations (Pop et al., 2013).
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For example, the strengths are that the research considers a large sample size, which increases the accuracy and the significance of the results since the research encompasses data from 140 countries with several social classes ranging from low and high-income nations (Pop et al., 2013). The circumstances of the individuals in the countries featured in the sample size replicates real life situations because the research observes the natural setting of the individuals, who happen to be a part of the upper class or the lower class (Pop et al., 2013). For instance, the lower class or the working class work meager jobs involving labour such as farmers or factory workers who don’t have enough income to support a healthy lifestyle, which leads to an increase in diseases that result in a lower life expectancy. On the other hand, the upper class work exceptional occupations such as computer engineers or doctors who have a higher income to support a healthy lifestyle, which eventually leads to better protection in the forms of medication that results in a higher life
For example, the strengths are that the research considers a large sample size, which increases the accuracy and the significance of the results since the research encompasses data from 140 countries with several social classes ranging from low and high-income nations (Pop et al., 2013). The circumstances of the individuals in the countries featured in the sample size replicates real life situations because the research observes the natural setting of the individuals, who happen to be a part of the upper class or the lower class (Pop et al., 2013). For instance, the lower class or the working class work meager jobs involving labour such as farmers or factory workers who don’t have enough income to support a healthy lifestyle, which leads to an increase in diseases that result in a lower life expectancy. On the other hand, the upper class work exceptional occupations such as computer engineers or doctors who have a higher income to support a healthy lifestyle, which eventually leads to better protection in the forms of medication that results in a higher life