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Course | EC 315 Quantitative Research Methods |
Semester | F2GG 2010 MI |
Faculty | Genre, Raye Ann |
Degrees/Certificates | Master of Arts in Mathematics Education Bachelor of Science in Mathematics Education |
Daytime Phone | 701-720-4853 |
Other Phone | office phone 727-0469 |
E-Mail | rgenre@park.edu |
| rayeann.genre@sendit.nodak.edu |
Semester Dates | October - December |
Class Days | ----R-- |
Class Time | 5:00 - 10:00 PM |
Credit Hours | 3 |
Textbook:
Douglas Lind,William Marchal and Samuel Wathen, Basic Statistics for Business & Economics - With Student CD. ISBN-10: 0-07-738447-4 ISBN-13: 978-0-07-738447-0 .
Publisher: McGraw-Hill/Irwin; 7 edition (January 11, 2010)
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. 3:0:3Learning Outcomes:
Core Learning Outcomes
- Derive an original regression model and run it using Microsoft Excel. Write a paper explaining this model and its outcome.
- 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.
- Find the predicted value of the dependent variable given a regression output with independent variable coefficients plus values for the independent variables.
- Conduct hypothesis tests and confidence intervals on the mean and the difference between two means using the "t" statistic.
- 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:
HW 20%
Project (Paper) 20%
MIDTERM 30%
Final Exam 30%
There will be a final exam that will account for 30 % of the total grade.
Grading:
DESCRIPTION OF CORE ASSESSMENT FOR EC 315:
All Park University courses must include a core assessment that measures the course's Core 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 (outcomes 1, 2, 3, and 4 listed on this syllabus). Although guidelines for the research proposal are listed below, the Core Assessment Rubric refers to the grading of the final research paper only.
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) 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 and defend the “primary” independent variable, or the variable believed to have the strongest impact on the dependent 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). 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 the primary independent variable, at least two research sources that discuss the variable also must be cited. These sources need not be technical documents but should contain evidence to justify the relationship between the primary independent variable and the dependent variable. List these sources on the Works Cited (reference) page. Citations from encyclopedias, abstracts, or non-governmental websites are not acceptable research sources.
3) Data Description
For each of the five variables, at least 30 observations of cross-sectional data must be obtained. Thus for the final research paper, a data matrix that is at least 30 rows by five columns must be presented.
In one paragraph, identify the data sources and describe the data (i.e., which government agencies supply the data, which methods are used to compile them, when they were collected, etc.). Attach a Xerox copy of the original data tables from which the data will be compiled after the proposal is reviewed and approved by the instructor.
4) Works Cited 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
Purpose Statement and Model
1) In the introductory paragraph, state why the dependent variable has been chosen for analysis. 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 that support the thesis, i.e., the model.
3) Write the general form of the model, with the primary independent variable as X_{1}:
The model is:
Y =
Where
Y: brief definition of Y
X_{1}: brief definition of X_{1 }[etc. for each variable]
Definition of Variables
4) 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, X_{1}, then X_{2}, etc.
In each paragraph, the following should be addressed:
< How is the variable defined in the data source?
< Which unit of measurement is used?
< For the independent variables: why does the variable determine Y?
< What sign is expected for the independent variable's coefficient, positive or negative? Why?
Data Description
5) In one paragraph, describe the data and identify the data sources.
< From which general sources and from which specific tables are the data taken? (Citing a website is not acceptable.)
< Which year or years were the data collected?
< Are there any data limitations?
Presentation and Interpretation of Results
6) Write the estimated (prediction) equation:
The results are:
=
7) Identify and interpret the adjusted R^{2 }(one paragraph):
< Define “adjusted R^{2}.”
< What does the value of the adjusted R^{2} reveal about the model?
< If the adjusted R^{2} is low, how has the 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 these 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 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 these 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 the model.
11) Other (not required):
< If any additional techniques for improving results are employed, discuss these at the end of the paper.
Works Cited Page
12) Use the proper format to list the works cited under two headings:
Research: two sources
Data: a separate citation for each of the five variable
Class Assessment:
1 midterm, 1 comprehensible final, Homework and a major project. Midterm, final, quizzes and HW consist of question and mostly problems at the level of and suggested/based by textbook.
Problem Sets: Problem sets are graded liberally and a solution set will be provided to the students. The purpose of the problem sets is to assess your learning of the material. The completion of the problems sets will facilitate your success on the examinations. Should you have any questions about the problem sets, you will need to get it resolved before the examinations.
Examinations: The examinations will be primarily composed of applications and interpretations, in addition to a small set of multiple choice and/or true false questions. The only reference allowed during the examinations will be the GUIDE.
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 analyze the computer output and write and submit a written report. See Guide for details on the various requirements for the written paper. Each item turned in will have a cover paper with the student's name.
Oral Report: See additional Oral Report requirements and suggestions in Chapter 14 of the Guide, along with an Oral Report Checklist
PowerPoint presentations should follow the 3-5-7 rule. No more than 3 main points per slide, no more than 5 lines of dense text, and no more than seven words per line.
Grading:
HW 10%
PROJECT 40% (Feasibility 3%, Proposal 10%, report 20%, presentation 7%)
MIDTERM 20%
FINAL 30 %
Grading Criteria
Evaluation Item Percent Points
Homework 10% 100
Term Project Topic and Feasibility Paper 3% 30
Term Project Proposal 1 0% 100
Mid-Term Examination 20% 200
Term Project Report 20% 200
Oral Report on Term Project 7% 70
Final Examination 30% 300
TOTAL 100% 1000
Grading Scale: A = 90-100; B = 80-89; C = 70-79; D = 60-69; F = 0-59.
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.
Attendance is mandatory and absences must be excused by the instructor or it will be an unexcused absence resulting in a zero for the class period.
and can not be reused without author permission.