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EC 315 Quantitative Research Methods
Loar, Lawrence


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

U1HH 2011 PA

Faculty

Loar, Lawrence

Title

Adjunct Faculty – Senior Instructor

Degrees/Certificates

Master of Science, Operations Management, University of Arkansas
Bachelor of Science, Mathematics,              Capital University Columbus, Ohio

Office Hours

Before and After Class

Daytime Phone

937-325-9644

E-Mail

Lawrence.Loar@park.edu

chrisloar@woh.rr.com

Semester Dates

06/06/2011 to 07/31/2011

Class Days

---W---

Class Time

5:30 - 10:30 PM

Prerequisites

MA 120 and CS 140

Credit Hours

3


Textbook:
 

 Lind Basic Statistics for Business and Economics w/ CD, 7th edition, 2008, Irwin. 

ISBN  0-07-738447-4

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:
 

To introduce students to many of the important concepts and procedures they are likely to need in order to (1) evaluate such daily inputs as organizational reports, newspaper articles, radio and television commentaries, (2) improve their ability to make better decisions over a wide range of topics, and (3) improve their ability to measure and cope with changing conditions both at home and on the job.  The emphasis will be placed on explaining statistical procedures and interpreting the resulting conclusions.

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:
 

The final course grade will be determined using the following measurements:

Test 1                            20%
Test 2                            20%
Final Exam                   30%
Homework                    20%
Research Paper             10%
Total                           100%

Grading:
 

The final grade will be based on the following scale:

A      92.5 - 100
B      85.0 - 92.5
C      77.5 - 85.0
D     70.0 – 77.5
F      Less than 70

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:
 

Late submission of homework will be accessed a 10% penalty for each week that it is late.

Classroom Rules of Conduct:
 

Students will need to take an active role in working out classroom projects.  This includes helping other students in completing their individual tasks.

Faculty members are expected to dismiss from their classrooms students whose behavior is detrimental to good order in the classroom. Such behavior includes, but is not limited to, the use of abusive or obscene language, attending the class under influence of drugs or alcohol, etc. Students who are dismissed from class may be given failing grades, suspension, or expulsion from Park University. Students whose behavior, either verbal or written, is detrimental to the good order of Park University may be subject to disciplinary action ranging from suspension to expulsion from Park University. Students who exhibit abusive or obscene language or behavior toward administrative personnel or support staff are also subject to suspension or expulsion from Park University.


Students who do not contact me regarding their missing the final (within 48 hours) are not eligible to take the final.  Grades MUST be input online 48 hours after the last class.  Any student with "unexcused" absences or numerous excused absences are not eligible for an incomplete. With an incomplete grade, a student must provide documentation why they did not attend the final, such as, medical excuse, work related or TDY orders.

Course Topic/Dates/Assignments:
 


Week of

 

Material to be covered

Homework

06/08/11

Descriptive Statistics

Descriptive Statistics Section of Homework

Chapter 1, 2 & 3

Select Research Proposal Data.

Review Requirements for Class Research Project.

Review Requirements for Homework Project.

Review Central Tendencies and Dispersion Mathematically

06/15/11

Descriptive Statistics

Chapter 2 & 3

Excel Functions

Data Analysis Tool

Excel Graphing

06/22/11

One-Sample Hypothesis Testing

Descriptive Statistics Homework Due

Chapter 9 & 10

Hypothesis Testing Homework Project

Test #1 Review - Descriptive Statistics

 

 

06/29/11

Multiple-Sample Hypothesis Test

Chapter 11

Test #1 - Descriptive Statistics

Review Progress of Research Project

07/06/11

Simple Regression Analysis

Hypothesis Testing Homework Due

Chapter 13

Linear Regression Section of Homework Project

Test #2 Review - Hypothesis Testing

07/13/11

Multiple Regression Analyses

Linear Regression Homework Due

Chapter 14

Multiple Regression Section of Homework Project

Test #2 - Hypothesis Testing

07/20/11

Interpreting Regression Analyses

Chapter 14

 07/27/11                                       

Class Project Review

Multiple Regression Homework Due

 Class Project due, Excel, Word, Pwr. Pt!!

Research Paper Due

 

Final Review - Comprehensive

 

Comprehensive final

All Assignments Must Be Turned in!!

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 students and faculty members are encouraged to take advantage of the University resources available for learning about academic honesty (www.park.edu/current or http://www.park.edu/faculty/).from Park University 2010-2011 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. from Park University 2010-2011 Undergraduate Catalog Page 92-93

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 2010-2011 Undergraduate Catalog Page 95-96

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:5/3/2011 10:08:05 AM