NEW JERSEY
INSTITUTE OF TECHNOLOGY
School of
Management
Spring 2001 MGMT 635 (Exec. MBA)
Management
Research Methods
Instructor
Info.:
Cheickna
Sylla,
4012
CAB, NJIT
Phone:
973 596 5691
Email:
sylla@adm.njit.edu
Course Description and
Objectives
This
course is intended to provide a survey of basic and advanced management
research methodologies with an emphasis on applications. Although quantitative analytical methods are
covered in detail, this is not a statistics course. Rather emphasis is on understanding how management research is
used to help make decisions in a variety of business disciplines. Most often
than not, statistical analyses tools are used to conduct the requisite
investigations and evaluation for business decision. Thus, this course will
help you acquire a working knowledge of the requisite statistical concepts and
tools.
Specific
course objectives include, but are not limited to the following:
1.
To
provide a thorough understanding of how management research is used in
decision-making,
2.
To
gain an understanding of how new
information technologies are opening up new sources of data and why new
analytical methods are needed to gain insights into these data,
3.
To
examine the relationship between management research methods and knowledge
management techniques in organizations,
4.
To
provide a solid understanding of qualitative and quantitative research
methodologies to aid in distinguishing between high and low quality research
studies,
5.
To
gain familiarity with and an understanding of advanced statistical methods
including multivariate statistical models and forecasting techniques, and
6.
To
learn how to design, interpret, present and evaluate empirical research
studies.
Course Materials:
The
primary texts and other reading materials for the course are:
1.
Business
Research Methods, by Donald R. Cooper and Pamela S. Schindler, 7th
Edition, McGraw-Hill/Irwin, 2001 (book 1)
2.
Statistics for Managers: Using Microsoft Excel, by
David M. Levine et al., Prentice-Hall, 2nd Edition, 1999 (book 2)
3.
Case
Studies, Exam and Reading Assignments will be handed out (Handout)
4.
Software
tools: Microsoft Excel, SPSS Student Version 9.0
Course Outline
The
following topics will be discussed in the order provided. Due to the large
number of interesting topics involved in this subject matter, the coverage of
some topics will be very brief (i.e., in the form of overviews). Topics
involving statistical analysis tools will be discussed in more details.
Jan. 20/01 Introduction:
Purpose and Uses of Research in Business
Significance
of Business Research
Framing
the Research Questions in Business, The Research Process
Statistical
Review - Fundamentals of Descriptive Statistics
Reading:
book 1 (chap. 1 - 4), book 2 (chap. 1 - 3)
Feb. 2/01 The Design of
Research
Research
Process (Continued)
Research
Design Issues, Strategies and Tools
Sampling
Design, Measurement & Measurement Scales
Statistical
Review - The Normal Distribution and Sampling Distribution
Reading: book 1 (chap. 6 - 9), book 2 (chap. 6 &
7)
Feb. 3/01 The Sources and Collection of Data
Data
Sources
Survey
Methods & Survey Instruments
Overview
of OLAP Tools, Internet Exploration and Data Mining
Observational
Studies and Experimentation
Statistical
Review - Fundamentals of Hypothesis Testing
Reading: book 1 (chap. 10 - 14), book 2 (chap. 8)
Feb. 16/01 Analysis and Presentation of Data
Data
Preparation and Description
Exploring,
Displaying and Examining Data
Hypothesis
Testing (Continued)
Measuring
Association
Statistical
Review - Simple Linear Regression and Correlation
Reading: book 1 (chap. 15 - 17), book 2 (chap. 6, 8
and 13)
Feb. 17/01 Conclusion: Analysis and
Presentation of Data (Continued)
An
Overview of Multivariate Analysis
Statistical
Review - Fundamentals of Multiple Regression Models
Presenting
Results: Written and Oral Reports
Presentation
and Discussions of Class projects
Reading: book 1 (chap. 19 - 20), book 2 (chap. 14)
Course Requirements
Given
the applied focus of this course, there are no in-class or written exams. Rather, grades will be determined by your
performance on the individual take-home-exam and group research methods
projects. The grading scheme and assignments are listed below:
Tentative Grading Scheme:
The
course grade will be derived from the following requirements:
Take
Home Exam 40%
Group
Project Report 40%
Group
Project Presentation 20%
Total 100%
Please
note that NJIT recommended grading scheme is as follows:
A for
Superior performance (i.e., 92% or higher)
B+ for
excellent performance (i.e., 87 to 91%)
B for
very good performance (i.e., 82 to 86%)
C+
or lower otherwise
Individual Take-home-Exam
There
will be an individual assignment in the form of a take-home-exam, which will be
handed out on the first days of classes, and due on the last day of the course,
namely 2/17/2001. Please try to finish and hand in your exam on time because
there is a lateness penalty as seen described below.
Group Projects
There
will be a group research project, which will include data collection and
analysis. While the final form of this project is not yet determined, one of
both the following activities will be required in the project task. The final
form of the project, and data requirement and analysis, will be discussed on
the first day of classes.
1.
Focus
Group Study including In-Class Presentation.
2.
Survey
Research Project including In-Class Presentation
Lateness Penalties
There
is a penalty of 1/3 of one letter grade (e.g., from A to A-) per day for
lateness for individual projects.
Inability to make a presentation for the group projects at the assigned
time will result in a grade of "F" for that project.
Non-Contribution Penalty
The
level of contribution of each group member to group projects will be rated
using self and peers' assessments. Group members who are identified as
non-contributors by their peers for any part of their group project will
receive a grade of "F" for the
course (regardless of their self-ratings). No excuses. No exceptions. No mercy. No kidding.