EDAD 8193 A04: Dissertation Methods

EDAD 8193 - Seminar in Educational Research--Dissertation: Methodology

Fall 2026 Syllabus, Section A04, CRN 42857,

Credit hours: 2

Course Meeting Times

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Instructor

Edwin Christmann

Email: echristmann@ysu.edu

Public Instructor Information

Instructor Title: Doctor
Instructor Professional Qualifications:
PhD, Education, Old Dominion University;
M.Ed, Educational Administration, Pennsylvania State University,
AdvDip, Research in the Sciences, University of Cambridge,
BSEd, Education, Pennsylvania Western University

Instructor Office Location: Beeghly Hall 
Instructor Office Phone: 330-941-3251

Course Description

8193. Seminar in Educational Research--Dissertation: Methodology. Students will build knowledge and skills in developing Chapter 3 of their dissertation. Writing of Chapter 3 will be broken down into manageable milestones, following the guidelines set forth in the YSU Educational Leadership Dissertation Guidelines and template. Admission to the Ed.D program required. Prereq. or Coreq.: EDAD 8191. 2 s.h.

Course Readings

Group Title Author ISBN
Research design : qualitative, quantitative, and mixed methods approaches Creswell, J. W., & Creswell, J. D.
Surviving your dissertation: A comprehensive guide to content and process (4th ed.) Rudestam, K. E. & Newton, R. E. (2014)
Publication manual of the American Psychological Association (7th ed.). The American Psychological Association.

Writing Chapter 3: Introduction, Research Questions, Method, Role of the Researcher, Participant Sample

Read in APA Manual pgs. 29-31, 111-124

Read in Rudestam & Newton pgs. 27-66, 99-136

   Read Creswell & Creswell pp. 1-79

Writing Chapter 3: Data Collection / Instruments, Analysis, Validity & Limitations

Read Creswell & Creswell pp. 79-155

Writing Chapter 3: Ethical Considerations & Summary

Read Creswell & Creswell pp. 156-260

The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.  

Course Learning Outcomes/Objectives/Goals

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How to Succeed in This Course

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Attendance Expectations

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Late Work Submission Policy

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Additional Course Expectations

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Artificial Intelligence Policy Statement

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Assignments/Assessments

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Grading and Grading Scale

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University Policies

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Schedule of Topics and Assignments

Week of Proposed Topic Due/To Prepare for Class
9/14 Introduction Research Questions Method Role of the Researcher Participants Sept 18
10/5 Data Collection / Instruments Data Analysis, Validity, and Limitations Oct 9
11/2 Ethical Considerations Summary Nov 6
11/30 Final Draft of Chapter 3 Due
IRB Application Due
Dec 4
Dec 4

The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning.