EC315 Quantitative Research Methods

for F1T 2007

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Vision Statement: Park University will be a renowned international leader in providing innovative educational opportunities for learners within the global society.


EC 315 Quantitative Research Methods


F1T 2007 DLE


Song'ony, Daniel K.


Adjunct Faculty


B.A Economics
M.A Economics
MA, PhD Economics

Office Location


Daytime Phone



Semester Dates

FIT 2007 DLA DIST starts 20 Aug 07 ends 12 Oct 07

Class Days

Monday through Sunday

Class Time

Online Weekly Mandatory Assignments


MA 120 and CS 140

Credit Hours



A. Soule, Peter, Guide to Statistical Analysis for Business and Social Sciences Using SPSS Version 14.0 and Microsoft Excel.  ISBN: 978-007-3396-87-3 McGraw-Hill 2008. 

Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through the Parkville Bookstore

Additional Resources:

A. Scientific Calculator [This calculator must have the ability to raise a number to a power other than two. Such calculators usually have an XY or an YX key.] Cost about $15.

B. PC with modem (28.8 or faster)

C. Internet Browser (Microsoft or Netscape).

D. E-mail account

E. Microsoft Word and Microsoft Excel software.

F. Access to a Fax machine (or Scanner) may be necessary for handwritten graphs and calculations.

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.
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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:

a)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 statistical results.

 b) I believe that the learner's mind is not a tabula rasa therefore  I challenge them to thin critically by creating an environment where everyone is free to question any academic issue.

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.

  Instructor 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 hyothesis 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 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:

Students are expected to complete 5 hours of online activity per week including but not limited to responding to the weekly conference discussions, sending/receiving Email, reading and viewing online lectures, completing online quizzes and tests, and conducting research over the World Wide Web. Sending in homework or a test, or participation in a conference thread, all count as a contact.

Information for the coming week will be posted by the instructor by 10 am CST every Monday. This will include any administrative notes, clarification of the reading assignment and the homework assignment if any.
Homework will be assigned during the course in the thread for each week. Homework will be due on the following Sunday at 12 pm CST. This homework will be posted as a conference thread or as an attachment to a conference thread. Some homework and/or solutions may be e-mailed directly to you. Homework is intended to prepare the student for the final exam.
The GUIDE text assignments are the minimum to be read. Detailed assignments will be provided prior to each week via e-mail and the course threads on the e-College.
Research Topic Proposal

As preparation for the final research paper, formulate an original theory about the correlation between four measurable independent variables (causes) and one measurable dependent variable (the effect). The topic proposal should include the following four items which serve as the foundation for the final research paper after instructor feedback is given.

1) Statement of the problem/Issue

Clearly define the issue or state the problem to be Investigated.  Identify independent and dependent variables and state the correlations. 

2) Definition of Variables 

Clearly define the variables stating which variable determines the other.  For each variable, write a single definition paragraph (five paragraphs total). Paragraphs should be in this order: dependent variable, primary independent variable, and remaining three independent variables.

 In addition to defining the independent variables, defend why each determines the dependent variable.

 For each independent variable, provide research sources that discuss the variable. These sources need not be technical documents but should contain evidence to justify. List the sources on the Works Cited (reference) page.

 3) Data Description

Include for each of the variables, at least 30 observations of cross-sectional data must be obtained. Therefore, the final research paper is a data matrix that is at least 30 rows by five columns.  Clearly state the data source.

 4)  Citation Page

The final page of the proposal should be a Works Cited page listing the two research sources for the primary independent variable and the data sources, with a separate citation for each table of data, including specific table numbers for each of the five sources. The appropriate format should be employed (see below).

Final Research Paper

The final research paper is the expanded proposals containing research findings.  It should have details of:

1.  Purpose Statement and Model

In the introductory paragraph, state why the dependent variable has been chosen for analysis. Then make a general statement about the model.

2.  Definition of Variables

Define and defend all variables, including the dependent variable, in a single paragraph for each variable. Also, state the expectations for each independent variable. These paragraphs should be in numerical order, i.e., dependent variable, X1, then X2, etc. 

3.  Data Analysis

In one paragraph, describe the data and identify the data sources. 

4.  Presentation and Interpretation of Results

 The SPSS output or regression results must be presented and used to make scientific statements or inferences.  All the results such as beta coefficients, Durbin/Watson or R2 must be interpreted in order to predict the model.
5.  Citation Page
The final page should have a reference page or bibliography


Grading Scale:
A = 90-100, 
B = 80-89, 
C = 70-79, 
D = 60-69,
F = 0-59.
Final examination - The student's grade will directly reflect their overall course average provided they pass the final exam. IT IS A COURSE REQUIREMENT THAT THE STUDENT MUST PASS THE PROCTORED FINAL EXAM IN ORDER TO PASS THE EC315 COURSE REGARDLESS OF THEIR OVERALL AVERAGE IN THE COURSE. The Core Assessment is the three part term project ( the project topic and feasibility paper, the term project proposal and the final term project). A final proctored examination will be taken in a proctored testing environment during the 8th week at one of the Park University Campus Centers. This test will be open book.

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 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 Dean of the School of Business and Management.

Late Submission of Course Materials:
Each week's work must be completed by the end of that week. Comprehensive solutions will be distributed after the deadline. After a solution is distributed to any student in the class, the maximum grade will be 60% for that assignment. However, late or not, it is important that you complete all assignments because they will be a major help in preparing you for the test. This provides you with practical proficiency.

Classroom Rules of Conduct:

Policy #1: If you experience computer difficulties (need help downloading a browser or plug-in, you need help logging into the course, or if you experience any errors or problems while in your online course, please contact the helpdesk via phone (toll free) at 1-866-301-park or by email at

Policy #2: Please check weekly discussion area in the current week under course home before you ask general course questions. This is the only discussion thread that I monitor regularly. When you have a question on an assignment or other class matter, put your question in the weekly discussion thread for that week. This consolidates questions on similar topics and reduces the area that students have to search for answers to their questions. When you have a course question, look for a similar question in that week's discussion thread. If you do not see your question there, then post your question. Posting them in the threaded discussion area will allow your fellow students to benefit from your questions. There are no stupid/silly questions.

Policy #3: Communicate: If you are experiencing any confusion over course material, technical difficulties that are not being resolved and are preventing you from completing your assignments, or general questions about the course, I prefer you put your question in the weekly discussion thread but if this is not helpful e-mail me directly. I will respond to course-related questions within 48 hours.

Policy #4: Back up every piece of work, you complete. Always have two copies for yourself and one for me. Your copies should be on different media. Keep one copy on the hard drive and one on a floppy or CD-ROM for example. This will ensure that a computer goof or a glitch in cyberspace will not wipe out all traces of your hard work. Be sure to keep a copy of everything you send to me until after your course grade is finalized. .

Policy #5 Online Etiquette: All online communications need to be composed with fairness, honesty and tact. If I deem an online communication to be inappropriate or offensive, I will forward it to the appropriate Park University official and appropriate action will be taken.

Policy #6 Microsoft Excel and Word document requirement. You must submit your assignments using the .doc and .xls file format. Some of you might have the newest version of Office that saves files in .docx and .xlsx format--those will not be accepted. Simply save your work prior to sending it to me in the "old" format. Thank you for complying with this requirement.

Course Topic/Dates/Assignments:

Course Participation
Project Topic and Feasibility Paper
Week 1
Week 4
Term Project Proposal
Week 5
Term Project Report
Week 7
Week 8


Reading Material


Week 1 


Descriptive Statistics


Descriptive Statistics Section of Homework



Chapter 1

& 2 




Review Requirements for Class Research Project




Review Requirements for Homework




Review Central Tendencies and Dispersion Mathematically




Descriptive Statistics


Select Proposal Data


Week 2 


Chapter 7
Excel Functions




Data Analysis Tool




Excel Graphing




One-Sample Hypothesis Testing


Descriptive Statistics Homework Due


Week 3 

Chapter 8,11& 12


Hypothesis Testing Section of Homework



Test #1 Review Descriptive Statistics




Multiple-Sample Hypothesis Test


Finalize Proposal Data


Week 4 


Review all the previous chapters of week 1-3 



Test #1 –Descriptive Statistics




Review Progress of Research Project




Simple Regression Analysis


Hypothesis Testing Homework Due


Week 5 

Chapter 3 & 14 and Review Ch.13 


Linear Regression Section of Homework



Test # 2 Review –Hypothesis Testing




Multiple Regression Analyses


Linear Regression Homework Due


Week 6  


Chapter4 & 6 


Multiple Regression Section of Homework



Test #2 –Hypothesis Testing




Interpreting Regression Analyses


Review Draft Projects


Week 7 


Chapter 5




Class Project Review


Multiple Regression Homework Due


Week 8 


Review for Final –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 2007-2008 Undergraduate Catalog Page 85-86

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.
ONLINE NOTE: An attendance report of "P" (present) will be recorded for students who have logged in to the Online classroom at least once during each week of the term. Recording of attendance is not equivalent to participation. Participation grades will be assigned by each instructor according to the criteria in the Grading Policy section of the syllabus.

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: .


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:8/21/2007 5:30:00 PM