Project: Final Project By Week 10, you should have begun your work on the Final Project in earnest. Refer to the Final Project Guidelines and Final Project Template documents in the Learning Resources, as well as the Final Project assignment in Week 10, for more information. By Day 5 Submit your Final Project. Submission and Grading Information To submit your completed Project for review and grading, do the following: Please save your Project using the naming convention “WK11Proj+last name+first initial.(extension)” as the name. Click the Week 11 Final Project Rubric to review the Grading Criteria for the Project. Click the Week 11 Project link. You will also be able to “View Rubric” for grading criteria from this area. Next, from the Attach File area, click on the Browse My Computer button. Find the document you saved as “WK11Proj+last name+first initial.(extension)” and click Open. If applicable: From the Plagiarism Tools area, click the checkbox for I agree to submit my paper(s) to the Global Reference Database. Click on the Submit button to complete your submission.
Final Project Guidelines 2
The culmination of material covered in RSCH 8210:
Quantitative Reasoning and
Advanced Quantitative Reasoning and Analysis
you with a number of tools
your statistical toolbox. An enthusiastic apprentice always
looks forward to
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
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
, 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
, NIH, ICPSR, NIJ, NCES, www.data.gov
, 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-
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
plemented because the researcher did not translate the results
© 2016 Laureate Education, Inc.
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
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
their findings. In any case, remember
the purpose is to
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,
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 presentatio