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EC 315 Quantitative Research Methods
Dick, Michael


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 Statistics for Social and Administrative Sciences

Semester

U1L 2006 WT

Faculty

Michael Dick

Title

Instructor

Office Hours

Before and after class; other times by appointment

Daytime Phone

660-441-7151

E-Mail

Michael.Dick@park.edu

park_wafb@yahoo.com (preferred)

Web Page

http://webpages.charter.net/my_stuff/park

Semester Dates

5 June – 30 July 2006

Class Days

-M-W---

Class Time

4:55 - 7:35 PM

Prerequisites

MA 120, 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.)

Textbooks can be purchased though the MBS bookstore

Textbooks can be purchased though the Parkville Bookstore


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. Pre-requisites: MA120 and CS140. 3:0:3

Educational Philosophy:
I believe the effective use of available classroom time, augmented by meaningful homework assignments and research projects best serves the needs of the non-traditional student.

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:
a.  The examinations are worth up to 100 points each and will be comprised problem solving and data interpretation.  Examinations are 40% of the final grade.

b.  Students are required to solve problems during the lectures.  Participation in each class is worth up to 10 points for each session and is 10% of the final grade.

c. 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.

Examinations.......2  x 100 = 200 points....40%
Participation......12 x 10  = 120 points....10%
Proposal...........1  x 100 = 100 points....15%
Report.............1  x 100 = 100 points....15%
Presentation.......1  x 100 = 100 points....20%


A = 90 - 100%
B = 80 - 89%
C = 70 - 79%
D = 60 - 69%
F = Below 60%

Late Submission of Course Materials:
Not accepted without the prior approval of the instructor.

Classroom Rules of Conduct:
Cell phones, pagers and the like are allowed for those that must respond for an on-call situation, however, they will be answered outside the classroom.  

Cell phones may not be used as calculators during an examination.

Course Topic/Dates/Assignments:
1.  Students are required to read the applicable chapters before the class meeting.

2.  Completed lectures and assignments (in PDF format) are posted at http://webpages.charter.net/my_stuff/315.htm after each class.

Date

Activity

Assignment

5 Jun 2006

Using Excel & Writing a Research Proposal

 

7 Jun 2006

Chap 10:  One Sample Tests

 

12 Jun 2006

Chap 10: (con't)

 

14 Jun 2006

Chap 11:  Two Sample Tets

Research Proposal

19 Jun 2006

Chap 11: (con't)

 

21 Jun 2006

Chap 15:  Chi-Square Applications

 

26 Jun 2006

Midterm Examination

 

28 Jun 2006

Chap 13:  Linear Regression

 

3 Jul 2006

Chap 13: (con't)

 

5 Jul 2006

Chap 13:  (con't)

 

10 Jul 2006,

Chap 14:  Multiple Regression

 

12 Jul 2006

Chap 14:  (con't); Project

 

17 Jul 2006

Chap 14:  (con't); Project

 

19 Jul 2006

Chap 14:  (con't); Project

 

24 Jul 2006

Final Examination

 

26 Jul 2006

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 2005-2006 Undergraduate Catalog Page 85-87

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 85-87

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 2005-2006 Undergraduate Catalog Page 89

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:6/2/2006 5:16:03 PM