EC315 Quantitative Research Methods

for S2F 2011

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EC 315 Quantitative Research Methods


S2F 2011 MY


Loy, Kevin John


Adjunct Faculty


Master of Education--The Ohio State University
Masters of Science in Mathematics--Colorado School of Mines
Doctorate of Philosophy--The Ohio State University

Office Location

U.S. Army Manpower Analysis Agency, 5915 16th Street    Bldg 238, Fort Belvoir, VA  22060-5589

Daytime Phone



Semester Dates

24 March to 19 May

Class Days


Class Time

5:00 - 10:00 PM


CS140, MA120

Credit Hours



Basic Statistics for Business and Economics- Text

ISBN-10: 0077384474
ISBN-13: 978-0077384470
Authors: Douglas Lind, William Marchal, Samuel Wathen

Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through the Parkville Bookstore

Additional Resources:

Soule, Peter, Guide to Guide to Quantitative Research Methods Using SPSS Version 14.0 and Microsoft Excel.  ISBN 007339629X, McGraw-Hill 2004.  (referred to as GUIDE below)
Students should have a scientific calculator in class and for exams.  Students will require access to Microsoft Excel for out of classroom work.  This software is installed on computers which is available in campus computer centers.

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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 instructor's philosophy is based on constructivist view of learning which states that students construct their perception of reality. The Instructor provides guidance like lectures, assignments and tutoring but learning task is placed entirely on student's shoulders. Full use of computer technology is one of the ways the instructor guides students.

The intent is 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                  15%
Test 2                  15%
Final Exam           30%
Homework           30%
Class Project        10%
Total                     100%


The final grade will be based on the following scale:

A      90 - 100
B      80 - 89
C      70 - 79
D     60 – 69
F      Less than 60

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:
Please respect the rights of other students in the class. Cell phones must be off or put on silent while class is in session.  If an emergency call is expected or must be made, please be respectful of others and do it outside of the classroom.

Course Topic/Dates/Assignments:

Date Material to be covered Homework 
3/24/2011 Descriptive Statistics Descriptive Statistics Section of Homework Project
  Chapter 1,2,3  
  Review Requirements for Class Research Project.  
  Review Requirements for Homework Project.  
  Review Central Tendencies and Dispersion Mathematically  
  Excel Functions  
  Data Analysis Tool  
  Excel Graphing  
3/31/2011 Descriptive Statistics  Select Research Proposal Data
  Chapter 2 & 3  
  Excel Functions  
  Data Analysis Tool
  Excel Graphing  
4/7/2011 One-Sample Hypothesis Testing *Descriptive Statistics Homework Due
  Chapter 9 & 10 Hypothesis Testing Homework Project
  Test #1 Review - Descriptive Statistics  
4/14/2011 Two Sample Test of Hypothesis Hypothesis Testing Section of Homework Project
Chapter 11 Review Progress of Research Project
  Test #1-Chapter 1,2,3
4/21/2011 Simple Regression Analysis Finalize Proposal Data
  Chapter 13 *Hypothesis Testing Homework Due 
  Review Progress of Research Project Linear Regression Section of Homework Project
4/28/2011 Multiple Regression Analyses *Linear Regression Homework Due
  Chapter 14 Multiple Regression Section of Homework Project
  Test #2 Review -Chapter 9,10,11,13,14  
5/5/2011 Interpreting Regression Analyses Review Draft Projects Before Going Final.
  Chapter 13, 14  
  Test #2 - Chapter 9,10,11,13,14  
5/12/2011 Class Project Review *Multiple Regression Homework Due
  Final Review - Comprehensive  
5/19/2011 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 ( or Park University 2010-2011 Undergraduate Catalog Page 92

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: .


CompetencyExceeds Expectation (3)Meets Expectation (2)Does Not Meet Expectation (1)No Evidence (0)
Critical Thinking                                                                                                                                                                                                                                          
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                                                                                                                                                                                                                                    
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                                                                                                                                                                                                                             
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:3/1/2011 7:41:19 PM