EC 315 Quantitative Research Methods
F1T 2006 DLA
Hiestand, Thomas W.
Senior Professor of Economics
B.A. Math and Economics, Luther CollegePh.D. Econmics, Kansas State University
9:00 - 10:00 p.m. Monday - Friday and Evenings on Sunday
August 21, 2006 - October 15, 2006
MA 120 and CS 140
A. Soule, Peter, GUIDE to STATISTICAL ANALYSIS for Business and Social Science Using SPSS Version 12.0 and Microsoft Excel. ISBN 007-312-5326 McGraw-Hill 2005. The text is referred to below as "GUIDE."
B. 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.
C. PC with modem (28.8 or faster)
D. Internet Browser (Microsoft or Netscape).
E. E-mail account
F. Microsoft Word and Microsoft Excel software.
G. Access to a Fax machine (or Scanner) may be necessary for handwritten graphs and calculations.
Textbooks can be purchased though the MBS bookstore
Textbooks can be purchased though the Parkville Bookstore
G. Access to a Fax machine (or Scanner) may be necessary for handwritten graphs and calculations
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My educational philosophy is one of interactiveness based on lectures, readings, quizzes, dialogues, examinations, internet, videos, web sites and writings. I will try to engage each learner in what is referred to as disputatious learning to encourage the lively exploration of ideas, issues and contradictions.
Learning Outcomes: Core Learning Outcomes
DESCRIPTION OF CORE ASSESSMENT FOR EC 315:
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 research project that includes a written proposal and final research paper. This project is worth 20 percent of the student's final grade and will assess students' mastery of four core learning outcomes (Learning Outcomes 1, 2, 3, and 4 listed on this syllabus).
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). This proposal should include the following four items.
1) Purpose Statement
In one paragraph, state the correlation and identify the primary independent variable.
State the correlation:
“The dependent variable _______ is determined by independent variables ________, _________, ________, and ________.
Identify the primary independent variable:
The most important independent variable in this relationship is ________ because _________.”
2) Definition of Variables
For each variable, write a single definition paragraph (five paragraphs total). They should be in this order: dependent variable, primary independent variable, and remaining three independent variables.
In addition to defining the independent variables, you must defend why each determines the dependent variable.
For the primary independent variable, you must also cite two research sources that discuss the variable. The sources need not be technical documents. List these sources on the Works Cited Page.
3) Data Description
You must have at least 30 observations of cross-sectional data for each of the five variables. Thus for the final paper, you will have a data matrix that is at least 30 rows by 5 columns.
In one paragraph, describe the data (i.e., which government agency supplies the data, what methods are used to compile them, when they were collected, etc.) and identify the specific data sources, including table numbers. Include the data sources on your Works Cited page. Attach a Xerox copy of the data set to the end of the proposal.
4) Works Cited Page
The final page of your proposal should be a Works Cited page on which you list the two research sources for the primary independent variable in the appropriate format. You should also list the data sources, with a separate citation for each table of data.
Purpose Statement and Model
1) In the introductory paragraph, state why you have chosen to analyze the dependent variable. Then make a general statement about the model:
“The dependent variable _______ is determined by variables ________, ________, ________, and ________.
2) In the second paragraph, identify the primary independent variable and defend why it is important.
The most important variable in this analysis is ________ because _________. In this paragraph, cite and discuss the two research sources you've found that support your thesis, i.e., your model. (Definitions or citations from encyclopedias are not acceptable.)
3) Write the general form of the model, with the primary independent variable as X1:
The model is:
Y: brief definition of Y
X1: brief definition of X1 [etc. for each variable]
4) Define and defend all variables, including the dependent variable. State your expectations for each independent variable. (one paragraph for each variable, in numerical order, i.e., X1 first, then X2, etc.)You should address the following:
< How is the variable defined in the data source?
< What unit of measurement is used?
< For the independent variables: WHY does the variable determine Y?
< What sign do you expect for the independent variable's coefficient, positive or negative? WHY?
5) In one paragraph, describe the data and identify the data sources.
< From which general sources and from which specific tables did you take the data? (Citing a website is not acceptable.)
< What year or years were the data collected?
< Are there any data limitations?
6) Write the estimated (prediction) equation:
The results are:
7) Identify and interpret the adjusted R2 (one paragraph):
< Define “adjusted R2.”
< What does the value of the adjusted R2 reveal about the model?
< If you have a low adjusted R2, how has your choice of independent variables created this result?
8) Identify and interpret the F test (one paragraph):
< Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not?
< Interpret the implications of your findings for the model.
9) Identify and interpret the t tests for each of the coefficients (one separate paragraph for each variable, in numerical order):
< Are the signs of the coefficients as you expected? If not, why not?
< For each of the coefficients, interpret the numerical value.
< Using the p-value approach, is the null hypothesis for the t test rejected or not rejected for each coefficient? Why or why not?
< Interpret the implications of your findings for the variable.
< Identify the variable with the greatest significance.
10) Analyze multicollinearity of the independent variables (one paragraph):
< Generate the correlation matrix.
< Define multicollinearity.
< Are any of the independent variables highly correlated with each other? If so, identify the variables and explain why they are correlated.
< State the implications of multicollinearity (if found) for your model.
11) Other (not required):
< If you use any of the techniques for improving results discussed in class, discuss these at the end of the paper.
Works Cited Page
Use the proper format to list the works cited under two headings:
12) Research: two sources
13) Data: a separate citation for each variable
Link to Class RubricClass 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 web site.
Grading Criteria – Evaluation Item Points
Project Topic and Feasibility Paper
Open-Book, MID-TERM TEST
Term Project Proposal
Term Project Report
PROCTORED FINAL EXAM
Course Participation requires participation in the Conference Area threaded discussions.
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. 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 and closed notes.
Late Submission of Course Materials:
Late Work: 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 50% 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. There is a huge difference in what you will learn by working the assignments and what you will learn by reading the solution to them.
Classroom Rules of Conduct:
Other Course Policies
Course Topic/Dates/Assignments: Evaluation Item Points
You will have graded weekly homework assigned in the weekly threads. Your term project is broken down into three parts: the topic and feasibility paper (week 1); the term project proposal (week 5); and your term paper report (week 7). You will have a mid-term exam (week 4), a proctored final exa, (week 8) and participation.
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 2006-2007 Undergraduate Catalog Page 87-89
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 2005-2006 Undergraduate Catalog Page 87
Attendance Policy:Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.
Park University 2006-2007 Undergraduate Catalog Page 89-90
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 .
Last Updated:8/1/2006 10:53:14 AM