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EC 315 Quantitative Research Methods
Ford, Paul


Mission Statement: The mission of Park University, an entrepreneurial institution of learning, is to provide access to academic excellence, which will prepare learners to think critically, communicate effectively and engage in lifelong learning while serving a global community.

Vision Statement: Park University will be a renowned international leader in providing innovative educational opportunities for learners within the global society.

Course

EC 315 Quantitative Research Methods

Semester

F1LL 2006 LR

Faculty

Ford, Paul

Title

Sr. Instructor

Degrees/Certificates

BSME/MBA

Office Location

9th and Louisiana, Little Rock, AR

Office Hours

7:30 AM -- 5:30 PM

Daytime Phone

501.472.7930

Other Phone

501.336.8731

E-Mail

paul.ford@park.edu

pford1@aristotle.net

pford1@entergy.com

Semester Dates

8/14/06 -- 10/9/06

Class Days

--T-R--

Class Time

6:00 - 9:00 PM

Prerequisites

MA 120 and CS 140

Credit Hours

3


Textbook:

Statistical Techniques in Business & Economics, Lind, Marchal, Wathen, 12the Edition. (Must have the student CD-ROM that accompanies the text.)

Note: Textbooks can be purchased though the MBS or the Parkville Bookstore

Textbooks can be purchased though the MBS bookstore

Textbooks can be purchased though the Parkville Bookstore

Additional Resources:

McAfee Memorial Library - Online information, links, electronic databases and the Online catalog. Contact the library for further assistance via email or at 800-270-4347.
Career Counseling - The Career Development Center (CDC) provides services for all stages of career development.  The mission of the CDC is to provide the career planning tools to ensure a lifetime of career success.
Park Helpdesk - If you have forgotten your OPEN ID or Password, or need assistance with your PirateMail account, please email helpdesk@park.edu or call 800-927-3024
Resources for Current Students - A great place to look for all kinds of information http://www.park.edu/Current/.


Course Description:
This intermediate level statistics course covers the fundamentals of conducting quantitative research for the social and administrative sciences. The course is organized around a research project on quantitative analysis of data. PREREQUISITES: MA 120 and CS 140. 3:0:3

Educational Philosophy:

We are all learners throughout our entire lives.  This learning is from both formal education and “informal education”, or what some of us refer to as personal experience.  Since our personal experiences are by definition limited, there may come a time when we desire to enrich ourselves through formal education.  For some of us this may be knowledge for its own sake.  For many of us the desire to seek formal education is to prepare for future opportunities that would not otherwise be available.  But there is more to formal education than completing assignments and “filling squares”.  There is what we can learn from each other.  

 

This learning and interaction occurs while completing course objectives together.  I believe these objectives are introduced and measured best through lectures, readings, homework and your research paper/presentation.  Their completion enables all of us to learn things that would not be possible anywhere else.

 

Finally, I firmly believe that knowledge in the classroom must not only be acquired but also translated for personal application and for application in the work environment.  Enrichment is made complete when learning is applied in our own personal experience.

 

As a life long learner I look forward to your unique experiences that will enrich us all.

Learning Outcomes:
  Core Learning Outcomes

  1. Write a proposal for a research project on an original multiple regression model with four independent variables.
  2. Gather data and research articles related to the multiple regression model.
  3. Use a statistical software package to regress the original model.
  4. Write a formal research report that defines and analyzes the evaluative information provided by a statistical software package, including the adjusted R-square, F statistic, t statistics, and correlation coefficients for multicollinearity.
  5. Do hypothesis testing and determine confidence intervals using the t statistic. Also,  conduct hypothesis testing using the F and Chi-square statistics.


Core Assessment:
All Park University courses must include a core assessment that measures the course Learning Outcomes.  The purpose of this assessment is to determine if expectations have been met concerning mastery of learning outcomes across all instructional modalities.  For this course, the core assessment is a research project that includes a written proposal and final research paper.  This project is worth 20 percent of the student's final grade and will assessstudents' mastery of four core learning outcomes (Learning Outcomes 1, 2, 3,and 4 listed on this syllabus).

Link to Class Rubric

Class Assessment:

There will be two examinations, a research proposal, and a research project with a formal presentation. Students will also be graded on their class participation when solving problems. The comprehensive final is not a take-home test. The comprehensive final is a closed book and closed notes exam.

Grading:

  • The examinations are worth up to 100 points each and will be comprised problem solving and data interpretation. Examinations are 33% of the final grade.
  • Students are required to solve problems during the lectures. Participation in each class is worth up to 10 points for each session and is 17% of the final grade.
  • Students will complete a research project consisting of a formal proposal for an original multiple regression model, an analysis of the data using the appropriate tests, a presentation to their peers using PowerPoint, and a comprehensive report. The term project is worth up to 300 points and 50% of the final grade.

 

Grading:

Examinations ---- 2 x 100 = 200 points....33%

Participation ---- 10 x 10 = 100 points....17%

Proposal ---- 1 x 100 = 100 points....17%

Report ---- 1 x 100 = 100 points....17%

Presentation ---- 1 x 100 = 100 points....17%

Total points -- 600 (Note:  % will not total to 100% because of rounding)

 

A = 90 - 100%

B = 80 - 89%

C = 70 - 79%

D = 60 - 69%

F = Below 60%

Late Submission of Course Materials:

Late work will not be accepted without the prior approval of the instructor

Classroom Rules of Conduct:

• Class participation is expected
• Students are required to read all material assigned prior to class and apply the material during class discussions, activities, and exercises.
• Students are expected to respect other students' opinions and values, even if they disagree with those opinions and values.
• Pager/cell phones: If you have to have it on, OK.  Otherwise, please turn them off or to vibrate.  Please step out of the room to take the call – quickly.  I am on call 24/7 and usually carry one.
• Food & drink: Keep the room and areas clean. We are guests in the room.  Please pick up after yourself and police the room before we leave.
• If I am delayed, I will try to call someone here.  
• I will return and review tests the following week.
• Contacting you:  I will use your Park Pirate email.  If you have not mastered the Pirate account, I strongly encourage you to.  The auto-forward function is very useful.

Course Topic/Dates/Assignments:

Session #

Activity

Assignment

1

Using Excel & Chapt 10

2

Chap 10: One Sample Tests

3

Chap 10: (con't)

4

Chap 11: Two Sample Tets

Research Proposal

5

Chap 11: (con't)

6

Chap 15: Chi-Square Applications

7

Midterm Examination

8

Chap 13: Linear Regression

9

Chap 13: (con't)

10

Chap 13: (con't)

11

Chap 14: Multiple Regression

12

Chap 14: (con't); Project

13

Chap 14: (con't); Project

14

Chap 14: (con't); Project

15

Final Examination

16

Presentation of Research Project

Research Report

Academic Honesty:
Academic integrity is the foundation of the academic community. Because each student has the primary responsibility for being academically honest, students are advised to read and understand all sections of this policy relating to standards of conduct and academic life.   Park University 2006-2007 Undergraduate Catalog Page 87-89

Plagiarism:
Plagiarism involves the use of quotations without quotation marks, the use of quotations without indication of the source, the use of another's idea without acknowledging the source, the submission of a paper, laboratory report, project, or class assignment (any portion of such) prepared by another person, or incorrect paraphrasing. Park University 2005-2006 Undergraduate Catalog Page 87

Attendance Policy:
Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.

  1. The instructor may excuse absences for valid reasons, but missed work must be made up within the semester/term of enrollment.
  2. Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
  3. In the event of two consecutive weeks of unexcused absences in a semester/term of enrollment, the student will be administratively withdrawn, resulting in a grade of "WH".
  4. A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
  5. Students receiving Military Tuition Assistance or Veterans Administration educational benefits must not exceed three unexcused absences in the semester/term of enrollment. Excessive absences will be reported to the appropriate agency and may result in a monetary penalty to the student.
  6. Report of a "F" grade (attendance or academic) resulting from excessive absence for those students who are receiving financial assistance from agencies not mentioned in item 5 above will be reported to the appropriate agency.

Park University 2006-2007 Undergraduate Catalog Page 89-90

Disability Guidelines:
Park University is committed to meeting the needs of all students that meet the criteria for special assistance. These guidelines are designed to supply directions to students concerning the information necessary to accomplish this goal. It is Park University's policy to comply fully with federal and state law, including Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act of 1990, regarding students with disabilities. In the case of any inconsistency between these guidelines and federal and/or state law, the provisions of the law will apply. Additional information concerning Park University's policies and procedures related to disability can be found on the Park University web page: http://www.park.edu/disability .



Rubric

CompetencyExceeds Expectation (3)Meets Expectation (2)Does Not Meet Expectation (1)No Evidence (0)
Evaluation                                                                                                                                                                                                                                                 
Outcomes
1                                                  
Four independent variables are appropriately chosen and are measurable. Two to three independent variables are appropriately chosen and are measurable. One independent variable is appropriately chosen and is measurable. No independent variables are appropriately chosen and no variables are measurable. 
Synthesis                                                                                                                                                                                                                                                  
Outcomes
2                                                  
Data for five variables are appropriate and documented; two research articles are cited. Data for two to four variables are appropriate and documented; two research articles are cited. Data for one variable are appropriate and documented; one research article is cited. No data are appropriate or documented; no research articles are cited. 
Analysis                                                                                                                                                                                                                                                   
Outcomes
4                                                  
All of the following statistics are perfectly analyzed: R2, F statistic, four t statistics, and correlation coefficients for multicollinearity Three to seven of the following statistics are perfectly analyzed: R2, F statistic, four t statistics, and correlation coefficients for multicollinearity Two to one of the following statistics are perfectly analyzed: R2, F statistic, four t statistics, and correlation coefficients for multicollinearity None of the following statistics is analyzed: R2, F statistic, four t statistics, and correlation coefficients for multicollinearity 
Application                                                                                                                                                                                                                                                
Outcomes
3                                                  
All statistical results are generated with no errors. All statistical results are generated with only one error. All statistical results are generated with two or more errors. Statistical results are not generated. 
Content of Communication                                                                                                                                                                                                                                   
Outcomes
4                                                  
Works Cited page is properly formatted and complete. Works Cited page has one to two errors. Works Cited page has three or more errors. Works Cited page is not present. 
Technical Skill in Communicating                                                                                                                                                                                                                           
Outcomes
4                                                  
All of the following statistics are perfectly defined: R2, F statistic, t statistic, and correlation coefficients/multicollinearity Two to three of the following statistics are correctly defined: R2, F statistic, t statistic, and correlation coefficients/multicollinearity One of the following statistics is correctly defined: R2, F statistic, t statistic, and correlation coefficients/multicollinearity None of the following statistics is defined: R2, F statistic, t statistic, and correlation coefficients/multicollinearity 
First Disciplinary Competency                                                                                                                                                                                                                              
Outcomes
4                                                  
The p-value approach to hypothesis testing is perfectly defined and analyzed for all four t-tests. The p-value approach to hypothesis testing is defined and analyzed for two to three t-tests. The p-value approach to hypothesis testing is defined and analyzed for one t-test. The p-value approach to hypothesis testing is not defined or analyzed for any t-test. 

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Last Updated:7/15/2006 1:18:31 PM