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EC 315 Quantitative Research Methods
Scagliola, David L.


Mission Statement: The mission of Park University, an entrepreneurial institution of learning, is to provide access to academic excellence, which will prepare learners to think critically, communicate effectively and engage in lifelong learning while serving a global community.

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

Course

EC 315 Qualitative Research Methods

Semester

U1SS 2008 RA

Faculty

Scagliola, David L.

Title

Senior Instructor, Adjunct Faculty

Degrees/Certificates

BA - Mathematics
MS - Operations Research

E-Mail

David.Scagliola@park.edu

Semester Dates

2 June - 27 July 2008

Class Days

-M-W---

Class Time

7:40PM - 10:20PM

Prerequisites

MA120, CS140

Credit Hours

3


Textbook:
Basic Statistics for Business and Economics, sixth edition, Lind, Marchal and Wathen (ISBN: see list in Admin office)

Additional Resources:

If you intend to persue a math oriented degree then get a graphing calculator: such as a TI-82 or newer: NOTE...the more advanced your calculator is, the thicker (and more complicated) the operating manual is!
Otherwise, make sure you have a working knowledge of "Excel" and "Powerpoint"

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:
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.
Pre-requisites: MA120,CS140. 3:0:3

Educational Philosophy:
The instructor's educational philosophy is one of student interaction through active involvement.  Core material for this course will be lecture based; however, students will be expected to ask/answer questions, accomplish reading assignments, participate in hands-on projects and practice/practice...  In addition, there will be two projects for the students to demonstrate their understanding of the covered material.

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. 6. 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.
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 read the sections to be discussed in class prior to the class and be prepared to work examples and ask questions.  I believe: Statistics can only be learned through practice; therefore, 15% of your grade will be based on homework.  All examinations will be modeled from the homework problems, so there should be no surprises to students who have done the required homework. SHOW ALL OF YOUR WORK on homework assignments and exams!  An answer with no work shown is either right or wrong; but, an answer showing your work may get some credit, even if it is not completely correct.

Grading:

Homework -               15% (10 points)
Design/Experiment -    15% (15 points)
Presentations -            10% (15 points)
Term Project -            30% (30 points)
Final -                         30% (30 points)
                     Total -  100% (100 points)

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:
Homework will be collected (no later than 2 weeks after assigned). No more than ½ credit will be given for late turn-ins. MAKE-UP EXAMINATIONS:  On a case by case basis.

Classroom Rules of Conduct:
While in class, the class should be your primary focus.   Disruptions of class due to communications devices have become so prevalent that they are a major distraction in class (to you, to the instructor and to other students).   For this reason such devices must not be brought to class or must be inactivated during the class lecture.

Course Topic/Dates/Assignments:

 

 

Week

Subjects

Chapter

1

Intro

Frequency Distributions, Numerical Data

Ch 1, 2, 3

2

Describing Data, Probabilities, Linear Regression

Ch 4, 5 and Ch13, 14

3

HW review, DeEx and Project proposal,

Discrete Probabilities

Continuous Probabilities

Ch 6, 7

4

Central Limit Theorem

Confidence Intervals

Ch 8, 9

5

Hypothesis Testing (One-Sample)

Hypothesis Testing (Two Sample)

Ch 10, 11

6

Analysis of Variance

Chi-Square Applications

Ch 12, 15

7

HW review, Data interpretation,

DeEx Presentation

 

8

Project Presentation, Review, Final Exam

Ch 1 - 15

 

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:
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.

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: http://www.park.edu/disability .



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:4/23/2008 2:28:58 PM