UConn HomeBanner
Resume Conference Handouts Articles Photography Student Dissertations Underachievement Information
  

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:

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


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

Blank

 

      
University of Connecticut         Gifted Education         Del Siegle

Del Siegle, Ph.D.
University of Connecticut
2131 Hillside Road Unit 3007
Storrs, CT 06269-3007
860-486-0616
del.siegle@uconn.edu