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Created: Sep 24, 2016
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Week 5 Gender vs Job
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Introduction

"This data set was contributed from Three Rivers Medical Center (Louisa, KY). The contingency table provided gives worker counts by gender for this location. Note: APRN-PAC consists of advance practice RN and physician's assistants."  (DATA SET GENDER VS JOB).  The study shows a comparsion of data collected to asses gender roles in certain jobs.  The categories of jobs were (admin, nurse, doctor, and advance practice nurses or nurse practitioners/physicians assistants).  

Data/Method

We will use th Chi-square method to assess independance of the data.  The number counts in this study indicate that the majority of female participants were either admin or nurse with the majority being nurses.  The majority of male participants were doctors or NP or PACs.  

Contingency table results:
Rows: Gender
Columns: None

Cell format
Count
(Row percent)
(Expected count)

  Admin Nurse Doctor APRN-PAC Total
Male 6
(11.76%)
(5.24)
15
(29.41%)
(34.18)
18
(35.29%)
(6.62)
12
(23.53%)
(4.96)
51
(100%)
Female 13
(9.7%)
(13.76)
109
(81.34%)
(89.82)
6
(4.48%)
(17.38)
6
(4.48%)
(13.04)
134
(100%)
Total 19
(10.27%)
124
(67.03%)
24
(12.97%)
18
(9.73%)
185
(100%)

Chi-Square test:
StatisticDFValueP-value
Chi-square 3 55.838701 <0.0001

Analysis

The Chi-Square value of 55.8 and the p-value of <0.0001 indicated that job type does somehow depend on gender.  The shows strong evidence of dependence.  However, the expected counts here are not all >5.  The group of male NP/PACS are 4.96 so in this case we may want to combine this group with another such as the doctor group.  The sample size here was 185.  I do feel that it was large enough for this study.  However, I do not feel this study represents the nationwide averages but it is close.  

Discussion

We find from this study that the females working in health care are most likely to be female and the males are more likely to be doctors.  

Conclusions/Further Studies

I feel that by the data in this study it is an accurate estimate of what we see in health care today.  The majority of nurses are indeed female and most males in healthcare are doctors.  Today we see an increase in men going into nursing programs and women who are becoming doctors, nurse practioners, and physician assistants.  I think a great idea for a further study would be to assess the number of men and women who are choosing these career fields and see if the number today has increased.  "And if health care has a gender problem, it’s that the industry seems totally unbalanced infavor of women. Nearly 80% of workers in the health care and social assistance field are women, according to Bureau of Labor Statistics data" ("Women make up 80% of health care workers—but just 40% of executives | The Advisory Board Daily Briefing," n.d.).  

References

Women make up 80% of health care workers—but just 40% of executives | The Advisory Board Daily Briefing. (n.d.). Retrieved from https://www.advisory.com/daily-briefing/blog/2014/08/women-in-leadership

 

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=62155">Week 5 Gender vs Job</A>

Comments
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By tracy.eldridge0031
Sep 26, 2016

Thanks! I was actually going to attempt to combine the two but I could not figure out how to do that!!
By lindsay.traxler43
Sep 25, 2016

Great job! I agree with the comment below. You could have done an additional analysis combining things to make the expected count > 5. I was very surprised by your statistic at the end related to the number of women who are in health care vs.executives. it will be interesting to hopefully continue to see this number trend up!
By streer
Sep 25, 2016

Everything looks great you combined based on expected count <5 with the doctor group assuming the APRN-PAC are almost doctors then to be placed with the other nurses.

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