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Women are more than just women: they are moms, working-class women, black women, affluent women

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Women are more than just women: they are moms, working-class women, black women, affluent women. They are transgender or LGBT, Christians, Muslims, or Jews, and work for McDonald's or Rituals. Women may face several forms of oppression, such as being black, Muslim, or low-wage employees, or they may, like Clinton, face sexism yet benefit from wealth, education, and a prominent man. It was no small feat to bring together this previously amorphous combination of former union Democrats, indifferent NASCAR parents, and evangelical Christian conservatives, and historians studying the Republican Party's trajectory should not overlook their contributions to Trump's triumph. However, analysts and political experts should not overlook the importance of female voters in the election outcome. Despite his well-documented history of sexual harassment and disparaging statements about female opponents in both the primary and general elections, exit polls showed that more than half of white women voted for Trump (Malone 2016). Who were the Trump supporters among women? Were they primarily motivated by their political party, as in recent presidential elections? Were these married ladies following their husbands' orders? or were there other elements motivating these women to vote for him, such as anti-equality views and beliefs?

I will investigate weather the people who voted for Trump in 2016 have similar characteristics in common or whether it was just a surprising shift.

 

I have 4 assumptions of what the characteristics of the women that voted for Trump: First, the less educated the women is, the more likely it is that the person votes for Trump. Second, the older a women the more likely she will vote in the voting booth for Trump. Third, the origin of the women play a huge role, if she is white, she is more likely to vote for Trump. My last assumption, is the economic situation of the voters, the poorer someone is the more likely they will vote for him.

I will use the 2016 Time Series Study, which had 2 samples, the face-to-face sample and Internet sample, where the sample universe were the U.S. eligible voters. To investigate these hypotheses, I want to rely on Data provided by the American National Election Study (ANES) and/or the General Social Survey (GSS) since they are very trustful sources of high-quality data in context of the American society. A good approach might be to conduct a logistic regression

 

with the independent variables “education”, and the dependent variable should be “who voted for Trump”. Because the data is already "done," case selection is simple in this situation, but to further illustrate it, I'll use some of the conditions ANES used. My sample will consist of a sufficient number of American citizens who are eligible to vote (18 or older) across all states in the United States to eliminate any potential bias caused by focusing (unintentionally) on a greater proportion of blue or red states. To attain high external validity, the cases will be chosen at random and will get a questionnaire with specified questions (ANES supplies these questionnaires, as does GSS). The information was acquired in two ways: face-to-face to ensure a high degree of truth, and online to avoid having to deal with too many people. I'll also use some association measures to see if these relationships are tightly related, as well as some robustness tests and tests for missing (but potentially relevant) variables, such as Ramsey's RESET test.

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