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EPSY
341: Principles and Methods in Educational Research
(Section
002)
Neag School of Education
University of Connecticut
Fall 2006
Monday: 4 - 6:30 p.m.
BSP (Biology and Physics) 130
Instructor: Del Siegle, Ph.D.
del.siegle@uconn.edu
www.delsiegle.info
Course
Overview:
EPSY 341 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
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. (2006).
How to design and evaluate research in education (6th
ed.) NY: McGraw-Hill Inc.
Grades:
Grades for this course are based on 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 the final 40% 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
attendance is 10% of your grade. You will receive 1 point
for each class you attend, excluding test days (up to 10 points...which
means you can miss two classes and still receive full credit
for attendance). Assignment and test scores can be checked
in Vista (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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August
28
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
4 - No Class
September
11
Read Ch.
15
Topic: (finish Single-Subject) Correlations, Introduction
to Concept of Statistical
Significance, Intelligence
Article, Measurement
Scales
September
18
Read Ch. 18-23
Assignment Due:
Single
Subject Research
Topic: (finish Correlation) Qualitative
Research Basics, Historical Research, Content Analysis,
Introduction to Action Research (need to finish correlation)
September
25
Read Ch. 7-8
Topic: Types of Instrument
Reliability
and Validity,
Likert
Scales
(need to finish measurement scales, historical research, content analysis, and action research))
October
2
Read Ch. 10
Assignment
Due: Correlation
Topic: Normal
Curve, Standardized Scores (finish instrument validity)
October
9
Read Ch. 3, 9, 13, 16
Assignment
Due: Reliability
(Cronbach) and Reliability
(Split Half and KR)
(may be submitted early for feedback prior
to first test)
Topic: Review for First Test Experimental
Research, Internal and External Validity, Causal-comparative
Research Designs, Independent and Dependent Variables
October 16
FIRST
TEST
Assignment Due: Standardized Scores
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October
23
Read
Ch. 6, 17
Assignment
Due: Variables
Topic: Review test results,
Samples and Populations,
Types of Sampling, Survey Research (finish threats to Experimental Research)
October
30
Guest Speaker - Sally Reis on analyzing qualitative research data
November
6
Read Ch. 11-12
Assignment Due:
Sampling
Topic: t-tests,
Directional and Nondirectional Hypotheses, Null
and Alternative Hypotheses, Beta
t-test program
November
13
Guest Speaker
November
20 - No Class
November
27
Assignment Due: t-test
Topic: ANOVAs,
Regression,
Chi-Square, Revisit Action
Research, Review for test
December
4
Topic: SECOND
TEST
Assignment Types
of Stats
December
11
Topic: Review test results
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