WK2Assgn_Beal_R (2) (3)

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Feb 20, 2024

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1 Categorical and Continuous Variables Roswell Beal PhD of Science in Public Policy and Administration, Walden University Quantitative Reasoning and Analysis Professor Olivia Yu December 10th, 2023

2 Categorical Variable In this graph, respondents' levels of education can be analyzed and compared to each category. The dataset utilized for this graphic is the Afrobarometer dataset, which has a mean of 37.17 for the Q1 Age variable. This graph shows that out of all of the respondents, the highest amount received a secondary level of education, shortly followed by a primary education. It should also be noted that 19.66% of respondents received no formal education at all. This data has implications for social change because it provides us the ability to determine how respondents' level of education affects other variables being studied. An example would be how a person's level of education alters their perception or opinions on how they view social issues such as police brutality, their choice of political party affiliation and presidential selection and even their socioeconomic standing. All of these examples can consider respondents' level of

3 education as a factor in their decision that impacts society, as well as highlight what differences there are based on the level of education of respondents (Frankfort-Nachmias et. al., 2020). Continuous Variable In this graphic, the continuous variable of age of respondents can be analyzed using a histogram graph that shows the fluctuations between age and frequency of the data (Frankfort- Nachmias et. al., 2020). This graph shows that the majority of respondents are around 30 years old at the time of the sample collection with a mean of 37.17. This information carries with it implications for social change, as age can determine intersectional and social adversities such as

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4 access to health/life insurance benefits and medical assistance services or even socioeconomic standing linked with low social security benefits (Dietz & Kalof, 2009). Social change is possible by identifying key issues for age groups such as showing how age correlates with poverty levels of those who receive social security benefits as well as how this correlation affects health outcomes of said respondents. Age factors into many social issues in contemporary America and is a useful variable in determining the correlations of them (Frankfort-Nachmias et. al., 2020). References

5 Dietz, T., & Kalof, L. (2009). Introduction to social statistics: The logic of statistical reasoning. West Sussex, United Kingdom: Wiley-Blackwell. Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.

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