Is there any gap between the male nursing salary and females on the same level of operation?

 Is there any gap between the male nursing salary and females on the same level of operation?

Final Project Guidelines 2



Project Rationale

The culmination of material covered in RSCH 8210:

Quantitative Reasoning and



RSCH 8260:

Advanced Quantitative Reasoning and Analysis

will provide

you with a number of tools


your statistical toolbox. An enthusiastic apprentice always

looks forward to

the day


the skills learned can be put into action,

to display a

product to the world that demonstrates they are

now an artisan.

The purpose of the Final Project in this c

ourse is much like a Final Project


apprenticing craftsperson might undertake. This project will utilize the amalgam of your

quantitative skills

to demonstrate


you can:

  1. Align an appropriate statistical test to a research question you constructed.
  2. Find data that meets the assumptions of your statistical tests and answers your

research question.

  1. Synthesize the results to articulately present the findings via an oral presentation.
  2. Present the results in a formal, written document


  1. Document how quanti

tative methods can assist with social change.



You are free to use data that you obtain on your own or utilize one of the datasets


the course


, to make the project more meaningful to you, it is highly recommend


that you find your own data. If you use one of the datasets from the course, please

make sure that you are not mimicking a project already posted in one of the weekly


Labs. You can find existing data through a number of clearinghouses on


web (i.e.


, etc.). If you are having difficulty

obtaining data, please be sure and contact your Instructor

for some suggestions. You

may also want to consider data from your workplace but be sure you have permission to

use it for learning purposes.


You have three

deliverables for this project. The first is an oral 5-

to 7-minute

presentation that you post to the Week 11 Discussion Board. You can create a video

directly in Blackboard using Kaltura;


to help you complete this task is

available via the

Kaltura Media Uploader

link on the course navigation menu.


video should be targeted toward a lay statistical audience. That is, consider giving a

presentation of your results to your co-


, a group who

might not have the

level of statistical knowledge you now hold. All too often,

the results of great projects are

not im

plemented because the researcher did not translate the results

and communicate

© 2016 Laureate Education, Inc.


2 of


the findings to the research consumer


For the second deliverable, please respond to at least


peer’s video presentation,

providing constructive comments on the strengths o

f the

Final Project, as well as

identifying ways to improve

. Remember, your goal will be to provide constructive and

helpful feedback, so please be polite.

In your feedback, for example, you may indicate

that some aspects of your peer’s presentation could be clearer. You might provide


that could clarify


interpretation of

their findings. In any case, remember


the purpose is to

provide and

obtain constructive and helpful feedback, so please

be supportive and polite.



deliverable is a 7

– to 10


written product that details your approach,

results, and interpretation of findings.

This should be a formal, scholarly paper, one that

adheres to the APA guidelines.

In this document,





  1. Present your research question clearly.
  2. Explain why you selected your dataset and the statistical test you applied to that


  1. Detail whether your test has statistical power or not.
  2. Use one of the statistical tests covered in this course.
  3. Visually display your results


  1. Detail how your findings might impact social change.
  2. Ensur

e that your Final Project is 7

–10 pages in length, in APA format


While you are required to use one of the statistical tests covered in this course, you

should feel free to appropriately augment with tests you learned in RSCH 8210. For

example, you may use a correlation matrix to test for multicollinearity in a regression




Week 3: Topic of interest should be identified. Start searching for data.

Week 6: Research question and dataset should be clearly identified.

Week 10: Final analysis should be completed.

Week 11: Finalize written draft and

post oral presentation