You have been assigned a topic according to the first letter of your last name (M)

You have been assigned a topic according to the first letter of your last name (M)

You have been assigned a topic according to the first letter of your last name (Moye).
Please identify the topic assigned to you below.
For each topic, find a health science example of it in a published research study or news article.
Summarize how your topic is used in the example.
Do you think a different data type would be better?
(Please note: You may wish to use the Library to find your example for this Discussion Board. A
librarian is available should you need assistance.)
Although not required, it is recommended that you plan your reply posts so that you reply to
topics that you did not cover within your main post.
(for last names beginning with A–H): Nominal
(for last names beginning with I–P): Ordinal
(for last names beginning with Q–Z): Interval or ratio

A nominal is a variable whose values are categories without numerical ranking, and commonly
only have two categories (Centers for Disease Control and Prevention, 2011). A study I found
was done on men and women who suffer from some type of mental health illness. In this study, it
shows that women are twice as likely to suffer from illnesses such as unipolar, depression, and
anxiety disorders and are more likely to have post-traumatic stress disorder. Women are also
more inclined to suicidal ideation and attempts. Men are more inclined for alcohol abuse and
personality disorders (Ranney, 2014). A lot of these reasons for gender differences in mental
illness has to do with hormonal factors, societal factors, and genetic factors. I believe the
nominal data type is the best when it comes to studies such as this, because it goes more in depth
on what exactly each gender experiences rather than just throwing out numbers for mental illness
as a whole. I think it gives a lot more information that is really needed when it comes to learning
more about issues that are gender-specific.

Answer preview:

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