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Social Sciences
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Week 3 Doing Sociology

Essay Instructions:

The week’s Doing Sociology has three parts: the first involves univariate analysis and the second bivariate analysis, the third is a journal article.

Part 1: Univariate Analysis

Analysis

The first group of tables are frequency distributions. Select any three (3) tables to analyze. You will need to describe the data in the tables. You don’t need to talk about every single number and percent; what you need to be able to do is describe the variable and the important values – the ones you want to make sure your readers should pay attention to. When conducting your univariate analyses make sure to focus on the "valid percent" column and not the "percent" or “cumulative percent” columns.

The standard practice for analyzing data in tables is to start with a brief introductory paragraph that describes what variables you will be using and the reasons, if any, for selecting those variables. After your introduction you will write a paragraph that describes the frequency distribution of your first variable, followed by the table. This may seem backwards but it really isn’t: it is better if you, the analyst, first describes the data for the reader and then provide the table. If you provide the table first, your reader may not know what to look for and or spend a lot of time looking at the different numbers and trying to figure out what they mean. You need to tell your readers what is important and then they can see how it all fits together.

Part 2: Bivariate Analysis

Analysis

The same document you downloaded from Doc Sharing for the first part of the assignment includes crosstabulations for bivariate analysis. Select any three (3) tables to analyze. The analysis will follow the same pattern as Part 1, with a brief introduction, followed by your analysis of the first crosstabulation, and then the tables. Please note: “tables.” Each crosstabulation includes two tables. The first is the crosstabulation of your DV and IV; the second table is the results of the chi-square test of significance. Your analysis, then, will include whether the relationship is significant and what explains that significance (what data in the table best describes this relationship).

Your paper will probably be about 5 pages, including tables – more is fine! After you complete the analyses in Part 1 and Part 2, write a brief concluding paragraph describing what you learned about 1) the variables you analyzed (your main focus should be the bivariate analyses; if you used the same variables in your univariate and bivariate analyses you might have comments from both parts of the assignment); and 2) analyzing data, especially crosstabulations. When and how is this procedure useful?

Essay Sample Content Preview:

Week 3 doing sociology
Name
Course
Instructor
Date
1] Univariate analysis
The first table was on the prevalence of violence against women for the age groups of 18- 29 and 30- 44. For the two age groups, there were 3, 217 and 5, 677 respondents. In the 18-29 age group 9.4 % of the respondents reported having experienced some form of violence, while in the 30-34 age group there was a 6.9% who reported violence, and hence were less likely to have experienced violence. Nonetheless, there was a 1.2 and 1.3% chance that there was missing information for the two age groups, but the information was enough to make conclusions regarding violence against women with age being a factor. Univariate analysis capture information of frequencies and the distribution attributes of a single variable is being analyzed (Babbie, 2009).
VariableN=3217%N=5677%Age18-2930-44Violence Yes3039.43936.9 No287789.4521291.8 Missing371.2721.3
The second table focused on the socioeconomic status of the women for the earlier identified age groups, where women were more likely to be unskilled manual workers at 25.4% of the sample. On the other hand among the 30-44 age groups, the largest portion of the respondents was in the non- manual worker category at 22.3%. Integrating the socioeconomic status with age was then necessary to determine the link between violence and socioeconomic status.
N=3217%N=5677%18-2930-44VariableSocioeconomic statusUnskilled manual worker81625.463411.2Skilled manual worker3209.95419.5Lower non manual worker46414.488415.6Intermediate non manual worker44213.7158728Higher non manual worker2989.3126422.3Own entrepreneur1083.33365.9Missing77023.94317.6
Pain is a factor that represented the health outcomes, and was identified to better understand how victimization and violence are linked to the socioeconomic status. For the 30-44 age groups the reported incidences of those who experienced pain, and discomfort from moderate to serious pain was higher compared to the 20-29 age group. Among the respondents 18-29 age group 66.8% did not report pain or discomfort compared to 88.6% of those between 20 and 29 years of age. Even though, the authors having failed to differentiate the valid and cumulative percentages for the three interrelated tables, the data was adequate to make conclusions.
N=3217%N=5677%18-2930-44Pain and/ or discomfortNo pain/ discomfort214966.8332958.6Moderate pain and/ or discomfort88527.5195834.5Serious pain and/ or discomfort491.51532.7Missing1354.22384.2
2] Bivariate analysis
There are socioeconomic disparities that influence health outcomes and the risk of violence for women of different ages. Bivariate analysis focuses on the analysis between two variables with the aim of establishing there is a relationship (Babbie, 2009). Victimization and health outcomes are also linked this is because the socioeconomic policies can be targeted towards reducing health disparities and addressing violence against women. Income levels/ wealth, education and occupation are the most common indicators of socioeconomic status. In the case of violence, manual ...
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