Hello!
I hope all is well. I conducted a survey of over 200 Black women between ages 18 and 75 to assess potential factors that might explain Black women's contemporary birth control choices. Because the majority of my data is nominal/ categorical, I have been employing Chi-square and Fisher tests. Unfortunately, these tests do not illuminate the direction of the relationship. As such, I have been trying to interpret the column percentages to make sense of things. However, in doing so, I am finding that, though there is statistical significance, the relationships have no/ minimal practical value. I have included an example below:
In this example, I ran a fisher exact test to determine whether there was a statistically significant association between knowledge of past historical incidents of Black women’s negative experiences with the medical establishment (knowev) and current types of birth control methods (classbc).
In looking at the column percentages, although STATA determined that there was a statistically significant association, it appears that it has no practical significance. I thought that one particular reason for this might be due to the fact that my sample is skewed toward people between ages 18 and 30 (this group makes up more than 74% of my sample).
Does anyone know whether demographic skew impacts statistical significance? If so, can someone provide insight into how I can zero in on this segment of my sample and explore trends within this subset of respondents?
I hope all is well. I conducted a survey of over 200 Black women between ages 18 and 75 to assess potential factors that might explain Black women's contemporary birth control choices. Because the majority of my data is nominal/ categorical, I have been employing Chi-square and Fisher tests. Unfortunately, these tests do not illuminate the direction of the relationship. As such, I have been trying to interpret the column percentages to make sense of things. However, in doing so, I am finding that, though there is statistical significance, the relationships have no/ minimal practical value. I have included an example below:
In this example, I ran a fisher exact test to determine whether there was a statistically significant association between knowledge of past historical incidents of Black women’s negative experiences with the medical establishment (knowev) and current types of birth control methods (classbc).
In looking at the column percentages, although STATA determined that there was a statistically significant association, it appears that it has no practical significance. I thought that one particular reason for this might be due to the fact that my sample is skewed toward people between ages 18 and 30 (this group makes up more than 74% of my sample).
Does anyone know whether demographic skew impacts statistical significance? If so, can someone provide insight into how I can zero in on this segment of my sample and explore trends within this subset of respondents?
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