EDB 9080: Quantitative Methods I
Syllabus for
Spring 2020
|
Instructor:
Dr. Satish Nargundkar Office Hours:
By appointment |
E-Mail: snargundkar@gsu.edu Phone: (678) 644 6838 |
Residencies:
Click here for Schedule/Topics
|
Jan 24: Jan 25: |
Friday Saturday |
8:00 AM –
12:00 PM 8:00 AM –
12:00 PM * |
|
Feb 28: Feb 29: |
Friday Saturday |
8:00 AM –
12:00 PM 12:30 PM –
4:30 PM |
|
Mar 27: Mar 28: |
Friday Saturday |
8:00 AM –
12:00 PM 12:30 PM –
4:30 PM |
|
Apr 24: Apr 25: |
Friday Saturday |
8:00 AM –
12:00 PM 12:30 PM –
4:30 PM |
*Exception:
All Saturday meetings in the afternoon except in January.
Text: Burns, Robert B. and Richard A. Burns (2014),
Business Research Methods and Statistics Using SPSS, London: Sage Publications.
ISBN: 978-1-4129-4530-1.
Prerequisites:
1.
HBP Online Quantitative Methods course before January 6. The EDB Quantitative Methods
sequence (EDB 9080,9100, Quant Methods Workshop) requires a common, baseline
knowledge of statistical concepts.
To
ensure that everyone has successfully completed this prerequisite, 25% of your
EDB 9080 grade will be determined by the average of the following two
assessments:
•
The final
assessment grade (or highest if two are taken) from the online Harvard Business
Publishing (HBP) Quantitative Methods Review course.
•
A similar in-person
timed online assessment.
Details
on access and schedule are provided by the EDB Office.
2.
Excel and SPSS installed on your laptops. The EDB program office can instruct you on
downloading and installing SPSS software.
Course Description: This course is designed to provide students with a
command of the core concepts and tools needed to design, collect, evaluate and
analyze quantitative data. The course will cover empirical data collection
methods, such as surveys, and sampling methods, as well as various types of
data and appropriate analysis techniques. This would include univariate and
bivariate statistics (i.e., chi-square, t- and z-test, ANOVA, correlation, and
regression). In addition, the course helps students gain proficiency in using
SPSS to analyze and interpret results. This syllabus is a general plan for the
course, providing policies and guidelines. As necessary, I may change the
course requirements including adding or dropping graded components.
Learning Objectives
Upon
successful completion of this course, you should be able to:
1.
Explain in your
own words an overview of quantitative analysis tools and their applications.
2.
Convert research
questions to hypotheses that are testable in a quantitative study. This
requires the ability to translate a concept or construct into measurable
variables.
3.
Demonstrate a
clear understanding of the basic statistical terminology, including population,
sample, sample size, dependent variable, independent variable, and observation.
4.
Evaluate the
strengths and weaknesses of various data collection methods. Choose and design
an appropriate method to collect data to test hypotheses.
5.
Design and
evaluate survey questions (e.g. identify different types of questions; data
scales; make decisions about appropriate question content, wording, response
format; and, question placement and sequence in your instrument).
6.
Demonstrate an
understanding of sampling and of sampling techniques, including how to
determine sample size, sources of error associated with sampling (e.g.,
response bias).
7.
Choose
appropriate analysis methods to address the hypotheses.
8.
Interpret results
of hypothesis tests.
9.
Explain p-values,
Type I and Type II errors.
10. Perform Regression analysis and interpret results.
11. Correctly use SPSS to analyze data.
12. Translate quantitative results into readable
manuscripts
13. Identify and mitigate ethical challenges and various
biases in quantitative research
Access to Some Online Resources:
Lynda.com,
a video training system free to GSU students, includes an SPSS course that you
can watch onlineor on your mobile devices. SPSS
tutorials (e.g., merging files, calculating frequencies, formatting and
exporting tables) average about 5-6 minutes per topic.
• Go
to http://www.Lynda.com/login.
• Click the “Create a Profile” button. Use your campus
ID and password to create your account.
•
From the Software tab, search for SPSS Statistics Essentials Training.
Mobile:
Go to http://technology.gsu.edu/2013/08/12/logging-in-to-the-lynda-app/
for
directions.
Each device is different so you may need to adapt the directions for your
device. Once logged in, search for SPSS.
Wix - https://quantresources.wixsite.com/quantresourceswiki
- created for EDB students, this site includes links to pages, videos, etc.
for public data sources, statistics tutorials and calculators, survey software,
etc.
Grading/Evaluation:
|
|
|
|
Course Average |
Grade |
Course Average |
Grade |
|
HBP Online |
25% |
|
94-96, 97+ |
A, A+ |
77-79 |
C+ |
|
Assignments |
30% |
|
90-93 |
A- |
73-76 |
C |
|
In-class work |
20% |
|
87-89 |
B+ |
70-72 |
C- |
|
Team Project |
25% |
|
83-86 |
B |
60-69 |
D |
|
Total |
100% |
|
80-82 |
B- |
Less than 60 |
F |
Late
assignments will be penalized 10% for up to a week, after which they will not
be accepted.
The
team project will involve analyzing an existing dataset: setting up reasonable
hypotheses (if you can justify them with some theoretical basis, all the
better), conducting appropriate tests, and reporting the results with some
discussion regarding implications for theory or application.
Academic Honesty:
Students
are expected to recognize and uphold standards of intellectual and academic
integrity in all work. The university assumes as a basic and minimum standard
of conduct in academic matters that students be honest and that they submit for
credit only the products of their own efforts. See Appendix.
NOTE: All written assignments are automatically submitted to Turn-It-In, the iCollege
platform’s originality detection service. (See http://www.turnitin.com/.)
The
following are some instances of academic dishonesty:
•
Failing to
indicate full and accurate attribution to the correct author/creator. This
includes marginally altering material taken from another source and calling it
your own creation. Plagiarism includes material taken from internet sources.
Proper citation requires quote marks or other distinctive set off for the material,
followed directly by a reference to the source.
•
Cheating on
examinations,
•
Unauthorized
collaboration with others
For
a link to a GSU citation guide, see
http://library.gsu.edu/home/services-and-support/how-
do-i/cite-a-source/
APPENDIX
UNIVERSITY POLICIES
University Policy on Grades of “I”
(“Incomplete”)
The
notation of “I” may be given to a student who, for nonacademic reasons beyond
his or her control, is unable to meet the full requirements of a course. In
order to qualify for an “I”, a student must:
• Have completed most of the major assignments of the
course (generally all but one); and
• Be
earning a passing grade in the course (aside from the assignments not
completed) in the judgment of the instructor.
When
a student has a nonacademic reason for not completing one or more of the
assignments for a course, including examinations, and wishes to receive an
incomplete for the course, it is the responsibility of the student to inform
the instructor in person or in writing of the reason.
The
grade of “I” is awarded at the discretion of the instructor and is not the
prerogative of the student. Conditions to be met for removing an “I” are
established by the instructor. Registering in a subsequent semester for a
course in which a grade of incomplete has been received will not remove the
grade of incomplete. No student may graduate with an “I” on his or her record.
GSU Disruptive Student Behavior Policy
Disruptive
student behavior is student behavior in a classroom or other learning
environment (to include both on and off-campus locations), which disrupts the
educational process. Disruptive class* behavior for this purpose is defined by
the instructor. Such behavior includes, but is not limited to, verbal or
physical threats, repeated obscenities, unreasonable interference with class
discussion, making/receiving personal phone calls, text messages
or
pages during class, excessive tardiness, leaving and entering class frequently
in the absence of notice to instructor of illness or other extenuating
circumstances, and persisting in disruptive personal conversations with other
class members. For purposes of this policy, it may also be considered
disruptive behavior for a student to exhibit threatening, intimidating, or
other inappropriate behavior toward the instructor or classmates outside of
class. Complete details at
http://codeofconduct.gsu.edu/files/2013/03/Disruptive-Student-Conduct-in-the-Classroom-or-Other-Learning-Environment-April-2006.pdf.
GSU Policy on Academic Honesty
Students
are expected to recognize and uphold standards of intellectual and academic
integrity. The University assumes as a basic and minimum standard of conduct in
academic matters that students be honest and that they submit for credit only
the products of their own efforts. Both the ideals of scholarship and the need
for fairness require that all dishonest work be rejected as a basis for
academic credit. They also require that students refrain from any and all forms
of dishonorable or unethical conduct related to their academic work.
Complete
details at http://deanofstudents.gsu.edu/files/2013/03/2013-14-Academic-Honesty-Policy-Only-Revised-March-15-2012.pdf