Probably the biggest change on my project in the last week was my switch to statistics. Although I was planning to do content analysis for my project, I realized that statistics would most likely lead to a less biased look at my research question.
The statistics I'm looking at so far include population, which is a constant, and year that the state's constitution was ratified, which is my independent variable. For my dependent variable, I am looking at the average years of schooling a woman receives in a given country versus the total amount received. I could not find a variable for men's education to compare it with, so I have been looking at women versus total. In theory, having an older constitution should create a more established regime which would have better norms in place for gender equality.
I've decided to look at the forty most populous countries, as that should give me a large enough N to generalize. I am planning to do regression analysis to examine the significant differences between education levels. Because, of course, I would have to control for male education, I am also going to need to find a variable for that.
Fun fact, out of all the states I'm looking at Thailand has the youngest constitution, at just over four months old. They apparently have gotten a new constitution on average every four years since 1932 as a result of constant regime changes.
I also looked at including gender quota information in my regression analysis, but I'm not sure if that gives the best idea of how egalitarian a society is.
I am still working out how exactly I want to do my regression analysis and what other measurements I would want to include. So far though, I feel like I am on the right track and that I actually know more or less what I'm doing.
The statistics I'm looking at so far include population, which is a constant, and year that the state's constitution was ratified, which is my independent variable. For my dependent variable, I am looking at the average years of schooling a woman receives in a given country versus the total amount received. I could not find a variable for men's education to compare it with, so I have been looking at women versus total. In theory, having an older constitution should create a more established regime which would have better norms in place for gender equality.
I've decided to look at the forty most populous countries, as that should give me a large enough N to generalize. I am planning to do regression analysis to examine the significant differences between education levels. Because, of course, I would have to control for male education, I am also going to need to find a variable for that.
Fun fact, out of all the states I'm looking at Thailand has the youngest constitution, at just over four months old. They apparently have gotten a new constitution on average every four years since 1932 as a result of constant regime changes.
I also looked at including gender quota information in my regression analysis, but I'm not sure if that gives the best idea of how egalitarian a society is.
I am still working out how exactly I want to do my regression analysis and what other measurements I would want to include. So far though, I feel like I am on the right track and that I actually know more or less what I'm doing.
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