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EC 315 Quantitative Research Methods
Atkins, James M.


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

F1U 2007 LU

Faculty

Atkins, James M.

Title

Adjunct Professor

Degrees/Certificates

Master of Science in Accounting with a Minor in Statistics

Office Location

Luke Air Force Base

Office Hours

TBA

Daytime Phone

602.463.1548

E-Mail

jmatkins_2004@yahoo.com

Semester Dates

20 August - 10 October 2007

Class Days

-M-W---

Class Time

4:50 - 7:25 PM

Prerequisites

MA 120 & CS 140

Credit Hours

3


Textbook:

Soule, Peter, GUIDE to STATISTICAL ANALYSIS for Business and Social Sciences Using SPSS Version 12.0 and Microsoft Excel.  ISBN 978-0-07-339629-3McGraw-Hill 2007.  The text is referred to as "Guide."

Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through 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. Prerequisite: MA120 and CS140. 3:0:3

Educational Philosophy:

The purpose of this course is to provide students with the quantitative skills that are necessary for doing apppied work.   In order to accomplish that goal, the teacher must facilitate learning and the student must learn the required materials.  This requires feedback from the student to the teacher.  This feedback occurs in written work and classroom discussion.   

The homework is intended to assess what students know and what they are uncertain about. Homework is graded liberally and based on effort while the examinations and papers are graded on achievement. 

Learning Outcomes:
  Core Learning Outcomes

  1. Derive an original regression model and run it using Excel or SPSS. Correctly interpret the model statistics including the statistical significance of the independent variables, the R-squared and (if applicable) the Durbin-Watson statistics.
  2. Derive the Durbin-Watson statistic in Excel. Determine whether a given regression has autocorrelation using a graph and the Durbin-Watson table values.
  3. Conduct hypothesis tests and confidence intervals on the mean and the difference between two means using the "t" statistic.
  4. Conduct hypothesis tests and confidence intervals on the binomial statistic and on the difference between two binomial statistics using the "t" statistic.


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 final exam to be administered in all sections of EC 315. This exam is worth 30 percent of the student’s final grade and will test students’ mastery of core learning outcomes through short answer questions on specific knowledge, Regression analysis procedure, and hypothesis testing.

Link to Class Rubric

Class Assessment:

Problem Sets:  Problem sets are graded liberally and a solution set will be provided to the students.  The purpose of the problem sets is to assess your learning of the material.  The completion of the problems sets will facilitate your success on the  examinations.  Should you have any questions about the problem sets, you will need to get it resolved before the examinations. 

Examinations:  The examinations will be primarily composed of applications and interpretations, in addition to a small set of multiple choice and/or true false questions. 

Term Project:  The term project involves proposing a model and then writing a formal proposal for the research it involves.  The student will use Excel to regress data for their model.  The student will analyze the computer output and write and submit a written report.  See Guide for details on the various requirements for the written paper.  Each item turned in will have a cover paper with the student's name. 

Grading:

Evaluation Item                                    Percent          Points

Homework                                                10%                100

Term Project Topic and Feasibility Paper      3%                  30

Term Project Proposal                                10%               100

Mid-Term Examination                                20%               200

Term Project Report                                   27%               270

Final Examination                                      30%               300

TOTAL                                                     100%             1000

Grading Scale:  A = 90-100;  B = 80-89;  C = 70-79; D = 60-69;  F = 0-59.

All final exams will be comprehensive and will be closed book and closed notes.  If calculators are allowed, they will not be multifunctional electronic devices that include features such as: phones, cameras, instant messaging, pagers, and so forth.  Electronic Computers will not be allowed on final exams unless an exception is made by the Associate Dean.

The final exam for all School of Business and Management courses must be passed with a grade of 60% or higher in order to pass the course regardless of the overall average.  The grade for students who pass the proctored final will be based on the overall average of homework and tests taken during the course.  The final exam must address only material which the student has been taught in class.

All final exams in all School of Business and Management courses will be comprehensive and will be closed book and closed notes.  They will constitute 30% of the total course grade and will not be a take-home exam.  They will be completed during the test week in the period designated by the registrar or by the Proctor in the case online courses.  If calculators are allowed, they will not be multifunctional electronic devices that include features such as: phones, cameras, instant messaging, pagers, and so forth.  Electronic Computers will not be allowed on final exams unless an exception is made by the Associate Dean.

Late Submission of Course Materials:
Late Submission of Course Materials:

Problem sets are due at the start of class one week after it is assigned.  Place the problem sets on the instructor's desk as you enter the classroom.  The solutions will be passed out at the beginning of class and discussed.  Homework turned in late will be grade for completeness and will be given a maximum grade of 50%.

A student that misses an examination is allowed to make up the examination.  The make up examinations will be a different format that the in class examinations. 

Course Topic/Dates/Assignments:

EC315

COURSE CONTENT AND CLASS SCHEDULE

DATE SUBJECT GUIDE STUDY PAGES

Week 1 Introduction to Regression 1-5, 7-8, 211-219 (Project Topic and Feasibility Paper)

Week 2 Excel Regression 101-117, 154-174, 208-211

Week 3 Statistical Significance 178-188, 189-209
Week 4 MIDTERM EXAMINATION All Previous References
Week 5 Normal Distribution/ Sampling Distributions 15-17
Hypothesis Testing, Confidence Intervals 18-36
Paired Difference Tests 31-36
Week 6 Large Sample Test and Confidence Interval 39-46
Small Sample Test and Confidence Interval 47-56

(Term Project Written Proposal Due)

Week 7 F Test of Variance between Two Samples 57-61
ANOVA and Goodness of Fit Tests 62-69, 88-95

Week 8 FINAL EXAMINATION All Previous References

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 2007-2008 Undergraduate Catalog Page 85-86

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 2007-2008 Undergraduate Catalog Page 85

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.
  3. Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
  4. 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 "F".
  5. A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
  6. 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.
  7. 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 2007-2008 Undergraduate Catalog Page 87-88

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)
Critical Thinking                                                                                                                                                                                                                                          
Outcomes
Short answer questions with a Maximum value of 166 Points                                                                                                                                                                                                                                                                                                                                                                                                                                                            
Hypothesis tests and confidence intervals nearly perfectly conducted. (149 points or more of 166 points) Most causes or processes of economic phenomena are correctly identified and stated. (115 to148 points of  166 points) Most causes or processes of economic phenomena are not correctly identified and stated. (83 to 114 points  of 166 points) No causes or processes of economic phenomena are stated clearly. (0 to 82 points of  166 points) 
Effective Communication                                                                                                                                                                                                                                    
Outcomes
Short-answer questions on regression procedures and hypothesis testing with a maximum value of 52 points.                                                                                                                                                                                                                                                                                                                                                                                                            
All definitions of curves or items identified on graphs are stated nearly perfectly.  (47  points or more of 52 points) Most definitions of curves or items identified on graphs are stated correctly. (36 to 46 points of 52 points) Most definitions of curves or items identified on graphs are not stated correctly. (26 to 35 points of 52 points) No definitions of curves or items on graphs are stated clearly.

(0 to 25 points of 52 points)

 
Tools and Methods of Economics                                                                                                                                                                                                                             
Outcomes
This examines regression analysis including running and interpreting regressions.  It has a maximum value of 82 points.                                                                                                                                                                                                                                                                                                                                                                                              
All calculations and explanations are nearly perfect.  (75 points or more of 82 points) Most calculations and explanations are correct. (59 to 74 points of 82 points) Most calculations and explanations are not correct. (42 to 58 points of 82 points) None of the calculations and explanations is correct.

(0 to 41 points of 82 points)

 

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Last Updated:7/27/2007 5:15:49 PM