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EPSY
5601: Principles and Methods in Educational Research
(Section
002)
Neag School of Education
University of Connecticut
Fall 2009
Thursday: 4 - 6:30 p.m.
Montieth 233
Instructor: Del Siegle, Ph.D.
del.siegle@uconn.edu
www.delsiegle.info
Course
Overview:
EPSY 5601 is an introductory course designed to help educators
understand and evaluate the educational research literature.
Through
participation in the course, class members will learn the
basic concepts and procedures used for conducting educational
research. The course is intended to help educators become
better consumers of research; i.e., it is not designed to
prepare them for conducting research. However, the instructor
believes that hands-on activities are an effective method
of learning material. The instructor provides extensive notes
on his website. These are highlights of material covered in
the textbook. They may also include supplementary material
not covered in the book that the instructor feels is important. Students
are expected to complete the reading assignments prior to
each class session.
Goals
and Objectives:
As a result of active participation in this course through
assigned readings, research exercises, class attendance, and
class discussions, it is expected that the student will:
- Understand
the scientific method as it applies to educational research
- Describe
the essential characteristics of research problems
- Distinguish
between independent and dependent variables, continuous
and categorical variables, directional and non-directional
hypotheses
- Describe
sampling and instrumentation techniques used in collecting
data
- Explain
the measurement concepts of validity, reliability, and standard
error of measurement
- Describe
and recognize the major types of research: experimental,
single-subject, correlational, causal-comparative, survey,
historical, content analysis, and qualitative
- Explain
descriptive statistical concepts and techniques: central
tendency, variability, norm scores, scales of measurement,
and correlation
- Understand
inferential statistical concepts and techniques used with
quantitative data: chi-squares, t tests, analysis of variance,
regression analyses
- Recognize
the research designs used in experimental research and the
internal and external threats associated with them
- Understand
the characteristics of qualitative research and the procedures
for gathering qualitative data
- Apply
knowledge of the above concepts and methods to evaluate
research reports
This course is aligned with the University of Connecticut Educator Preparation Program’s Conceptual Framework. Specifically, content and objectives address:
- Learning by providing an understanding of key measurement issues, types of research designs, and introductory statistical reasoning and statistical techniques.
- Leading by enabling students to become informed and critical consumers and users of qualitative and quantitative research in order to inform and improve practice.
- Lighting the way by incorporating the knowledge they gain from this course in becoming a reflective practitioner who advances research-based instruction in their teaching and learning community.
Class
Meetings and Requirements:
The approach for meeting the course objectives will be a combination
of attending class, reading assignments, visiting the designated
web sites, class discussions, written assignments, and two
examinations. Since the class is limited to 14 meetings, students
are expected to attend all meetings. Classes will begin promptly
and the instructor does not appreciate late arrivals. All
students are expected to have access to Microsoft Excel, Word,
and PowerPoint. Laptop computers will be useful (but not required)
on the days when we discuss statistics.
Required
Texts:
Fraenkel, J.R., & Wallen, N.E. (2009). How to design and evaluate research in education (7th
ed.) New York: McGraw-Hill Inc.
Grades:
Grades for this course are based on participation/attendance, a midterm
and final exam, and individual and group projects.
The first
exam merits 25% of your grade and the second exam merits 25%
of your grade. Your score on the exam is determined by dividing
your total points on the exam by the highest points received
on the exam. If you earned a raw score of 40 and the highest
points on the exam were 40, you would receive 100% on the
exam (your score divided by the highest score). Using this
system, someone will always receive full points on the exam.
Projects
account for 45% of your grade. Some of the projects
are individual, while others involve cooperation with members
of your research team. Each individual will be responsible
for submitting a project for each unit. This affords you an
opportunity to modify your group's work if you are not satisfied
with it. Projects that are submitted by the due date, may
be resubmitted for additional credit (1/2 credit for each
answer correctly resubmitted). The resubmission must occur
within a week of the initial grading of the project. Late
projects may not be resubmitted.
Class
participation is 5% of your grade. You will receive 1/2 point
for each class you attend, excluding test days (up to 5 points...which
means you can miss two classes and still receive full credit
for attendance). Assignment and test scores can be checked
in Blackboard (http://huskyct.uconn.edu).
A+ -- 100-99%
A --
98-93%
A- --
92-90% |
B+ --
89-87%
B --
86-83%
B- --
82-80% |
C+ --
79-77%
C --
76-73%
C- --
72-70% |
D+ --
69-67%
D --
66-63%
D- --
62-60% |
F
-- Below 60% |
Course
Outline:
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September
3
Read Ch. 1-2, 4, 14
Topic: Overview of Types of
Research, Research Ethics and Institutional Review
Boards, Single
Subject Research, Graphing Single-Subject Data
September
10
Read Ch.
15
Topic: (finish Single-Subject) Correlations, Introduction
to Concept of Statistical
Significance, Intelligence
Article
September
17
Read Ch. 18-23
Assignment Due:
Single
Subject Research
Topic: Finish Correlation, Measurement
Scales, Qualitative
Research Basics, Introduce Historical Research and Content Analysis
September
24
Read Ch. 7-8
Assignment
Due: Correlation
Topic: Action Research, Types of Instrument
Reliability
and Validity,
Likert
Scales
October
1
Read Ch. 10
Assignment
Due: Qualitative
Topic: Normal
Curve, Standardized Scores (finish instrument reliability and validity)
October 8
Read Ch. 3
Assignment
Due: Reliability
(Cronbach) and Reliability
(Split Half and KR)
Topic: Review for First Test, Independent and Dependent Variables
October
15
FIRST
TEST
Assignment Due: Standardized Scores
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October 22
Read
Ch. 6, 17
Assignment
Due: Variables
Topic: Review test results,
Samples and Populations, Types of Sampling, Survey Research
October
29
Read Ch. 9, 13, 16
Experimental
Research, Internal and External Validity, Causal-comparative
Research Designs,
November
5 - No Class
November
12
Read Ch. 11-12
Assignment Due: Sampling
Topic: t tests,
Null
and Alternative Hypotheses, Beta
t-test program
November
19
Topic: Continue t tests,
Directional and Nondirectional Hypotheses, ANOVAs, Regression, Chi-Square
November
26- No Class (Fall Break)
December
3
Read Ch. 24
Assignment Due: t test and Types
of Stats
Topic: Review for test
December
10
Topic: SECOND
TEST
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Blank
Absence of Students due to Religious Beliefs
Connecticut law states that no person shall be expelled from or refused admission as a student to an institution of higher education for the reason that he is unable, because the tenets of his religion forbid secular activity on a particular day or days or at a particular time of day, to attend classes or to participate in any examination, study or work requirements on such particular day or days or at such time of day. Any student in an institution of higher education who is unable, because of such reason, to attend classes on a particular day or days or at a particular time of day shall be excused from any examination or any study or work assignments on such particular day or days or at such particular time of day. The University Senate requires that students anticipating such a conflict should inform their instructor in writing within the first three weeks of the semester, and prior to the anticipated absence, and should take the initiative to work out with the instructor a schedule for making up missed work. For conflicts with final examinations, students should, as usual, contact the Office of Student Services and Advocacy (formerly the Dean of Students Office).
Academic Integrity
A fundamental tenet of all educational communities is academic honesty; academic work
depends upon respect for and acknowledgement of the research, ideas and intellectual property
of others. When we express our ideas in class assignments, projects or exams, we need to trust
that someone else will not take credit for them. Similarly, others need to trust that our words,
data and ideas are our own. We find the intellectual property of others in textbooks, periodicals,
newspapers, journals, solution manuals, dissertation abstracts, emails, the internet and other
sources electronic or otherwise. Regardless of where we find information, protecting and
acknowledging the rightful originators of intellectual property is vital to academic integrity.
Academic misconduct is dishonest or unethical academic behavior that includes, but is not limited, to misrepresenting mastery in an academic area (e.g., cheating), intentionally or knowingly failing to properly credit information, research or ideas to their rightful originators or representing such information, research or ideas as your own (e.g., plagiarism). Knowing what constitutes academic misconduct is so
important to an educational community that all students are encouraged to go to their advisors,
instructors, counselors, or assistant deans of students whenever they need clarification. When an instructor believes there is sufficient evidence to demonstrate a clear case of academic misconduct within a particular course taught by that instructor, the instructor shall notify the student in writing, and also orally if possible, that unless the student requests a hearing to contest the instructor’s belief, the instructor shall impose the appropriate academic consequences warranted by the circumstances. This should occur within 30 days of discovery of the alleged academic misconduct. The appropriate academic consequence for serious offenses is generally considered to be failure in the course. For less serious offenses regarding small portions of the course work, failure for that portion is suggested, with the requirement that the student repeat the work satisfactorily for no credit. For additional information see http://www.dos.uconn.edu/student_code_appendixb.html
Students with Disabilities
Students with special needs should contact the instructor early in the semester so accommodations can be made. Additional help is available through the university. Through the merge of the Center for Students with Disabilities (CSD) and the University Program for College Students with Learning Disabilities (UPLD), one office now serves all students with disabilities. All students may contact the office by visiting the Wilbur Cross Building, Room 204, calling (860) 486-2020 or emailing csd@uconn.edu.
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