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EC 315 Quantitative Research Methods
Gomez, Emilio


Mission Statement: Park University provides access to a quality higher education experience that prepares a diverse community of learners to think critically, communicate effectively, demonstrate a global perspective and engage in lifelong learning and service to others.

Vision Statement: Park University, a pioneering institution of higher learning since 1875, will provide leadership in quality, innovative education for a diversity of learners who will excel in their professional and personal service to the global community.

Course

EC 315 Quantitative Research Methods

Semester

S1E 2013 PE

Faculty

Gomez, Emilio

Title

Adjunct Faculty

Degrees/Certificates

B.A. Soviet Area Studies, Middlebury College, Middlebury, Vermont
M.A. Applied Economics, San Diego State University

Office Location

TBA

Office Hours

After class or by appointment.

Daytime Phone

760.613.0595

E-Mail

emilio.gomez@park.edu

Semester Dates

1/14/2013 - 3/10/2013

Class Days

--T----

Class Time

5:00 - 10:25 PM

Prerequisites

MA 120 and CS 140

Credit Hours

3


Textbook:

Basic Statistics for Business and Economics, 8th Edition
Author: Lind, Marchal, and Wathen
ISBN: 9780073521477


Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through the Parkville Bookstore

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:
This course will be conducted in a round-table manner in which participation from students will be expected. As we discuss the various statistical concepts, we will make use of practical and familiar data so that the student will relate to said data. Be prepared to roll up your sleeves in this class as it requires that you work through "in-class" group assignments to solidify your understanding of course content.

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:

Homework Assignments:

Your comprehension of class material, quiz and exam scores will be a direct reflection of how seriously you take your homework assignments. The problems are targeted to our discussions and will also be the basis for the quizzes, midterm and the final exam. Here are the important points to remember regarding your assignments:

  • There will be six (6) homework assignments, each worth 25 points for a total of 150 points and representing 15% of your total grade.
  • Homework will be assigned, reviewed and collected. You will receive full credit or no credit based on whether every question is completed thoroughly or not. No short answers are allowed that are void of any procedures. This will constitute an incomplete assignment and subject to the terms in the next bullet point. All questions require that you "WRITE OUT" the steps and procedures used to calculate the answers. It is impossible to answer statistics questions without having written out one or more procedures.
  • Students are to submit their assignments via the appropriate weekly "dropbox" by 5pm on Tuesday before class. Late assignment submissions will be granted on a rolling basis, meaning that 25% of the assignment's worth will be deducted for every day it is late until it is worth zero points.
  • The answer-key to the assignments will be made available by Sunday at noon. You are not to use the answer key to copy & paste, rather than to verify your own answers. No plagiarism!!
  • Absolutely no extensions will be given for assignments because you will have an entire week to complete each one. If you believe that you will have difficulty in completing any assignment, I highly recommend that you manage your weekly schedule to accommodate any unanticipated events. Also, recall that you may turn in assignments late, but you will be deducted points. In short, if you need more time, some points are better than no points.

Quizzes:

Quizzes will consist of 20-30 multiple choice questions on the material presented during the prior session and comprises 15% of your final grade.

  • Quizzes will be available online weekly. Access to the weekly quizzes will end at 5pm on Tuesday prior to class.
  • Absolutely no extensions will be given for quizzes because you will have an entire week to complete it. Similar to your assignments, if you believe that you will have difficulty in completing any quiz, I highly recommend that you manage your weekly schedule to accommodate any unanticipated events.

Research Paper:

  • Develop a multiple regression model in which your dependent variable is explained by several independent variables.
  • A minimum of 10 pages is required, not including the title page and reference page.
  • Research thesis or proposal due the third week of class, 1/29, via its appropriate dropbox. In essence, proposal or thesis should be a rough draft of your final paper introduction.
  • Final paper is due on the last day of class, 3/5, in its appropriate dropbox. Completion of the research paper is required to complete the course and comprises 20% of your grade.
  • Refer to addendum online for information and further research paper requirements.

Midterm:

  • The midterm is scheduled for two hours during the fourth week of class, or 2/5, and will cover all the material through the first three weeks of the term.
  • Consists of 35 multiple choice and short-answer questions.
  • Absolutely no extensions will be given for the midterm without prior approval and evidence to support an extension.
  • Comprises 20% of your final grade.

Final Exam:

  • The final exam is scheduled for four hours on the final week of class or 3/5.
  • Will be comprehensive to the beginning of the term and consists of approximately 50-65 multiple choice and short-answer questions.
  • Absolutely no extensions will be given for the final exam without prior approval and evidence to support an extension.
  • Comprises 30% of your final grade.


Grading:

Homework (6 * 25 points each) 150 points      15%
Quizzes (5 * 30 points each)
150 points     15%
Midterm

200 points   

 20%
Research Paper
200 points  20%
Final Exam

300 points 

 30%
TOTAL 1000 points
 100%
     
 Letter Grade

Points

Grade

1000 - 900

A

900 - 800

B

800 - 700

C

700 - 600

D

Less than 600

F

   

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 assignments will be deducted 25% for every day they are late.

Classroom Rules of Conduct:
Be respectful, honest and ready to learn. The use of any communication device during class will be taken as a sign of disrespect and I will reduce 5 points from your overall score for every violation. Keep in mind, I do not give warnings.

Course Topic/Dates/Assignments:

Tuesday:

Topic

Read

Quizzes / Exams

January 15

What is Statistics?

Describing Data: Frequency Distributions

Describing Data: Numerical Measures

Chapter 1

Chapter 2

Chapter 3


January 22

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Chapter 5

Chapter 6

Chapter 7

Quiz

January 29

Sampling Methods & the Central Limit Theorem

Estimation & Confidence Intervals

Term Paper Project Proposal Due

Chapter 8

Chapter 9

Quiz

February 5

One-Sample Test of Hypothesis

Two-Sample Test of Hypothesis

Chapter 10

Chapter 11

Midterm

February 12

Linear Regression and Correlation

Chapter 13

Quiz

February 19

Analysis of Variance

Multiple Regression and Correlation Analysis

Chapter 12

Chapter 14

Quiz

February 26

Review of Empirical Papers


Quiz

March 5

Paper Due / Final Exam

Final Exam

Final Exam

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 2011-2012 Undergraduate Catalog Page 95-96

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 2011-2012 Undergraduate Catalog Page 95

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 2011-2012 Undergraduate Catalog Page 98

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 .

Additional Information:





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:12/11/2012 2:15:02 PM