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EC 315 Quantitative Research Methods
Soule, Peter E.


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

U1J 2010 DN

Faculty

Soule, Peter E.

Title

Professor of Economics

Degrees/Certificates

PhD in Economics

Office Location

Mackay 27A

Office Hours

Monday and Tuesday 3:30-5:30

Daytime Phone

816-584-6301

Other Phone

Cell: 913-486-5649  Home: 913-888-2232

E-Mail

pete.soule@park.edu

Class Days

--T--

Class Time

5:30 - 9:50 PM

Prerequisites

MA120 aand CS140

Credit Hours

3


Textbook:
 

Lind, Douglas, William G. Marchal, and Samuel A. Wathen.
Basic Statistics for Business and Economics, Seventh Edition. McGraw-Hill/Irwin, 2008. ISBN: 978-0-07-340178-2

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:
EC315 Quantitative Research Methods: 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 educate, which requires two things to happen. The teacher must teach or facilitate learning and the student must learn the required materials. This requires feed back to the instructor on how the student is learning. This feedback occurs in written work and classroom discussion.

It is preferred that students ask questions during class as they arise. Often, a student will approach the instructor after class with a question that brings up a very important point that should have been addressed during class but the class is out the door. This is especially true with perceived calculation errors on the part of the instructor, which were placed on the black (or white) board and are therefore in everyone’s notes. If there was an error, it will be corrected. If not, there was confusion not only on the part of the student asking the question, but also others in the class, who saw the same apparent error but didn’t ask about it. Obviously, this calls for additional clarification on the part of the instructor. No question is dumb and no student will be belittled for asking a question or making a comment.

The homework is intended to assess what students know and what they don’t. Perfection is not expected and the grading is somewhat inflated. Homework is graded based on effort while tests and papers are graded on achievement. If the student indicates a near total lack of understanding of assigned homework, the grading will become more realistic so that the student is not lulled into a false sense of mastery just before the test boom gets lowered. A second area where grading is benign is the Initial Topic Paper of the Term Project. It is expected that some student groups will have more difficulty absorbing the concepts of the Initial Topic Paper. Having said all this, it is still true that perfect or near-perfect homework and Initial Topic Papers will earn higher scores than less perfect ones. 

Learning Outcomes:
  Core Learning Outcomes

  1. Derive an original regression model and run it using Microsoft Excel. Write a paper explaining this model and its outcome.
  2. Given an Excel regression output, correctly interpret the model statistics including the statistical significance of the independent variables and the R-square statistic of the model.
  3. Find the predicted value of the dependent variable given a regression output with independent variable coefficients plus values for the independent variables.
  4. Conduct hypothesis tests and confidence intervals on the mean and the difference between two means using the "t" statistic.
  5. 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:
 

HOMEWORKHomework is graded liberally and solution copies are provided to students. The primary purpose of homework is to give feedback to the students and the instructor as to what learning has taken place. Successful mastery of homework is necessary preparation for the test(s). Any questions on the homework problems need to be resolved prior to the subsequent test.

 TEST INFORMATION: Tests will primarily involve problem solving but may also have multiple choice and/or short answer sections. The problems will be similar to those presented in class and provided in the homework assignments. The only reference allowed on Tests is a formula sheet and any necessary tables which will be part of the test.  The final exam will be comprehensive.

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 then analyze the computer output and write and submit for grading a written report using the APA format for in-text citations and the References page. 

 

ORAL REPORT. Oral Report requirements and suggestions will be handed out in class.  

        PowerPoint presentations should follow the following rules.

           1) The 3-5-7 rule

               - no more than 3 main points per slide

               - no more than 5 lines of dense text

              - no more than 7 words per line

            2) Avoid technology bells and whistles that do not enhance learning objectives of your presentation.

Grading:
 Homework                                                 200          Assigned in Class

Project Topic and Feasibility Paper           50                   Jun 15           

Midterm Exam                                            200                   Jun 29

Term Project Written Proposal                   80                     Jul 6

Term Project Written Report                       70                    Jul 20  

Term Project Oral Presentations              100                    Jul 27

FINAL TEST                                              300                     Jul 27

TOTAL                                                     1000

The course grade for students will be based on the overall average of homework and tests taken during the course in accordance with the weighting of the various requirements as stated in the syllabus.

All final exams in all School of Business 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 Dean of the School of Business.

Late Submission of Course Materials:
 

Completed homework is collected at the beginning of the class on the day it is due. After that time, up to the point at which the solution is distributed, the maximum homework grade will be 50%. Typically, the homework solution is distributed when homework is returned. After this point LATE HOMEWORK CAN EARN NOT MORE THAN 20% CREDIT.

A student, who misses an exam, is allowed to make it up if their absence was excused before the test or is a genuine emergency. Makeup tests will substitute essay questions for the short answer and multiple-choice portion of the original exam. The makeup test will have a different problem section and will include subjects covered since the exam that was missed.

Late Term Project Proposals and Written Reports will be charged 2% per day, including weekends and holidays.

Classroom Rules of Conduct:
 

 EMAIL TO INSTRUCTOR: Always use the following subject line: EC315, First-Name, Last-Name, and (short) subject.   If you leave a message by voice mail or any other means be sure to include this information.

CELL PHONES and PAGERS. Turn off cell phones and pagers before class. Any one, who has a vital need for such devices during class, must discuss this with instructor before class. In this situation, if device has a vibrate mode, it must be used. The student must leave the room to take any message. Cell phones cannot be used during tests.

Course Topic/Dates/Assignments:
   

DATE          Subjects                                                                                  TEXT CHAPTER

Jun 8            Introduction to Regression                                                                 1

                     Excel Regression                                                                              13

Jun 15          Linear Regression                                                                             14

                     Regression Applications                                                                    

                     (Project Topic and Feasibility Paper due)                                       

                    

Jun 22          Normal Distribution and Sampling Distribution of X-bar                      7, 8
                      
X-bar Hypothesis testing, Confidence Interval, Sample Size            9, 10

Jun 29          Midterm Exam

                     Paired Difference Test                                                                       

  Jul 6           Large Sample xbar1 - xbar2 Test and Confidence Interval           11         

                     F test of Variance between two Samples                                       12

                     (Term Project Written Proposal due)

Jul 13           Small Sample xbar1 - xbar2 Test & Confidence Interval                   

                     Binomial p and p1-p2 Hypothesis testing                                   9, 10, 11   

Jul 20           Review of two -sample hypothesis tests                                        9 (-)

                     ANOVA & X2                                                                                   12, 15

                     (Term Project Written Report due)

Jul 27           Term Project Report Presentations                                                  

                     FINAL TEST                                                                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 2009-2010 Undergraduate Catalog Page 92

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 2009-2010 Undergraduate Catalog Page 92

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 "F".
  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 2009-2010 Undergraduate Catalog Page 95

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:5/18/2010 11:37:17 PM