Univariate Analysis on the Issue of Abortion

Coursework Instructions:

Part 1 Univariate Table Analysis

You will need to describe the data in the 3 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.

The data are from the General Social Survey (GSS) 2006. The respondents are a representative sample of adults in the U.S.

Coursework Sample Content Preview:

Doing Sociology 3
Student’s Name
Institution
Lecturer’s Name
Course Name and Number
Due Date
Doing Sociology 3
Abortion is one of the most controversial issues that has attracted the attention of policymakers, religious leaders and followers, sociologists, and health professionals, among other stakeholders. Individuals have held divergent opinions about this subject, with some opposing abortion and others claiming it is justifiable under specific conditions. This task consists of univariate and bivariate analyses of abortion. In the first part, univariate analysis, we use the mother's mental health, poverty, and rape as dependent variables to determine whether abortion should be allowed. In the second evaluation, bivariate analysis, we use political views, belief in the afterlife, and frequency of religious service attendance to find out whether women should have abortions for any reason.
Univariate Analysis
The first table aimed to determine whether a woman should be allowed to have an abortion if the mother's health is in danger. Viewing the valid percent, the majority of the participants, 84.3%, report that a woman should be allowed to have an abortion if the mother’s health is in danger. This is contrary to the 15.7% who were against abortion despite the mother's condition. They reported that women should not be allowed to have an abortion even if the mother's health is in danger. A total of 15% of the respondents are considered missing and are excluded from this analysis. Of this population, 5% did not answer the question, while 10% indicated that they did not know whether abortion should be allowed if the mother’s health is in danger. The number of missing participants was insignificant and could not change the study's overall results if the data were included in either of the responses. In other words, the valid percentage of the respondents who believe that women should be allowed to have an abortion when their life is in danger would still exceed the number of those with contrary thoughts.
Table 1. Should a woman be allowed to have an abortion if the mother’s health is in danger?
The second table asked if a woman should be allowed to have an abortion if the family is too poor to care for another child. Based on the results, 35.7% of the valid participants said that a woman should be allowed to have an abortion if the family is too poor to care for another child. In contrast, 64.3% of the valid participants reported that poverty should not be the cause of abortion. A total of 6.7% of the participants are considered missing and are excluded from this analysis. Out of the missing participants, 5% of the respondents said they did not know whether abortion should be allowed if the family is too poor to care for another child, while 1.7% failed to answer the question. Our results (valid percent) could not be affected if the missing data were clustered in one of the valid responses. This means most respondents were against abortion if the family is too poor to care for another child.
Table 2. Should a woman be allowed to have an abortion if the family is too poor to care for another child?
In the third table, the respondents were asked if a woman should have an abort...

Updated on January 26, 2024

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Univariate Analysis on the Issue of Abortion

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