
University
of Maryland in Europe
Research
Methods Instructor: Carol A. Dolan, Ph.D.
EDMS
645 Term 1 - Kapaun e-mail:
doctordolan@operamail.com
Weekends 16/17 Aug, 7/8 Sep, 21/22 Sep & 5/6 Oct 0900 - 1600
Required
Textbook and Materials:
LaFountain,
Rebecca M. & Robert B. Bartos (2002).
Research and statistics made
meaningful in counseling and student affairs.
Pacific Grove, CA: Brooks/Cole.
A
basic calculator.
Supplementary
Materials:
American
Psychological Association (2001) Publication Manual of the American
Psychological Association, 5th edition.
Washington, DC
Course Description
and Objectives
This course is designed to provide the knowledge
necessary to understand the
processes of collecting and analyzing research data, interpreting published
research
results, and to permit preparation and presentation of professional research
papers.
Students will also develop a basic knowledge and understanding of widely used
statistical tests. Content to include:
·
basic research design
·
communicating research results - proposal and report writing
·
descriptive statistics
·
sampling and inferential statistics
·
hypothesis testing
·
T-test, analysis of variance (ANOVA) and Chi-square
·
correlational methods, linear and multiple regression
Upon completion of the course, students should be able to:
·
identify and discuss the major steps in conducting a
research study
·
understand statistical concepts essential for data analysis
and evaluation
·
prepare and interpret descriptive statistics
·
understand methods used to collect and analyze data
·
understand the use inferential statistics for research in
applied settings
·
analyze and interpret published research use statistical
techniques
·
apply basic skills and the appropriate formulae necessary
for the application
of statistical concepts
·
complete a research proposal using APA format
Course
Requirements:.
·
It will expected that students have read the material
assigned for each class
prior to the class meeting. Required readings for each class are listed
below.
Given the often complicated and sometimes confusing nature of statistics and
statistical jargon, you may need to read the materials more than once.
·
Class lectures will highlight key points and provide an
opportunity for you to ask
specific questions, and for the entire group to work through particularly
challenging
problems and examples.
Criteria for
Grading
1. Critique of
Research Articles (2 @ 15% each)
Students will read and critique 2 research articles in terms of research
design, methodology
and appropriate use of statistics. A
3-5 page analysis should address questions about the
rationale (reason for conducting the study, contribution to the field, etc),
sampling (who were
selected for the study and how were they selected?, how generalizable are
results?),
hypothesis testing (what question is the research trying to answer?), variables
(identify and
address measures used), methodology (were the appropriate research design and
statistics
used?) and overall evaluation of the study.
Articles for review can be selected from a list
provided by the instructor, or, if you find a study particularly relevant to
your interests, please
submit it to the instructor for approval.
2. Descriptive
statistics assignments 20%
Students will access a survey (available on line) and conduct basic data
collection and
descriptive data analysis.
3. Research
Proposal 30%
Design a research study on a problem of your choice. The proposal should clearly identify
variables, research design, sampling of research participants, and methods of
statistical
analysis. A brief literature is
required. The emphasis should be on the
development of a
realistic design, the appropriate measurement of variables of interest, and the
use of sound
methodology. A brief presentation to
the class will be required.
4. Exam 20%
Exam will be made up of short
answer questions and problems, covering material from
the text. In this section, very little
emphasis will be placed on calculations, but students
will need to understand the basics of descriptive statistical.

Grade will be based on:
Exam 20% A = 90 - 100%
Critiques
(2 @ 15 points) 30% B = 80 - 89 %
Stats
assignments 20% C = 70 - 79 %
Proposal 30% D = 60 - 69 %
F
= below 70%
Course
Schedule
|
Dates |
Pre-class Reading
Assignments |
Products, Due Dates, etc.
|
|
Weekend 1 Aug 17, 18 |
Ch. 1
Research Process Read Ch. 7 -
Descriptive Statistics |
- Overnight assignment: Sample critique - Assign descriptive stats
problems - Distribute article for
Critique 1, due via |
|
Weekend 2 Sep 7,8 |
Ch. 6 Sampling Ch. 5 Validity in Research Ch. 9 Reliability Read Ch. 8 - Descriptive
Statistics II |
- Hand back Critique 1 - Stats
Problem 1
due - Due: Research Topic & Outline - Distribute article for
Critique 2, due via |
|
Weekend 3 Sep 21, 22 |
Ch. 7 Descriptives I Ch. 8 Descriptives II Ch. 13 Inferential statistics
Ch. 11 The Research Report |
- Hand back Critique 2 - Stats
Problem 2
due - Discussion of Proposal -- Research - Abstract of Proposal due
via email to Problem 3 due Weekend 4 |
|
Weekend 4 Oct 5, 6 |
Exam Read all student abstracts, be Student presentations |
- Stats
Problem 3
due - Completed Proposal due NO LATER - Presentations of proposals 6
OCT |
|
Dr.
Carol A. Dolan received her BA in Psychology at St. Michaels College in
Vermont, and her MA and PhD degrees in Psychology from the University of
North Carolina. Main areas of
research include studies on the relationship between personality and health,
and the effects of stress and coping on health. Recent research publications and presentations focus on stress,
coping, health and organizational outcomes in the military environment. Dr. Dolan has had extensive research
experience and has taught both undergraduate and graduate courses in at least
10 countries! Interests include
travel, cooking, stained glass art, and riding a Harley around Europe with
her spouse! |