EDAD 8115 A02: Evidence, Research, Prog Eval

EDAD 8115 - Evidence, Research and Program Evaluation

Fall 2026 Syllabus, Section A02, CRN 42971,

Credit hours: 3

Course Meeting Times

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Instructor

David Bowlin

Email: dabowlin@ysu.edu

Public Instructor Information

Instructor Title: Professor Dr. David Bowlin 
Instructor Professional Qualifications:  Ed.D., Administration and Policy Studies, University of Pittsburgh, 2004

Master's, Secondary Administration, Duquesne University, 2000

Master's, Secondary Education, Duquesne University, 1993

Bachelors, Biology, Carlow College, 1986

Instructor Office Location:  Virtual / Home Office 
Instructor Office Phone:  412-352-8571

Private Instructor Information

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Course Description

8115. Evidence, Research and Program Evaluation. Evidence, Research, and Data in Program Evaluation is designed for practitioners seeking to enhance their understanding of Program Evaluation and Data Mining methods. Students will explore quantitative research design, sampling strategies, initial research category formation, and data coding methods. The course will also utilize statistical tools, such as regression analysis, to demonstrate how data can be collected to form statistically significant conclusions. Throughout the course, students will examine a variety of case studies from the field of education to provide practical applications for the topics covered. By the end of the course, students will be equipped with applied research methods that can be used when engaging with stakeholders or evaluating programs within their own organization. 3 s.h.

Course Readings

Group Title Author ISBN
Optional Designing and Constructing Instruments for Social Research and Evaluation; Colton and Covert 2007

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

Program Evaluation

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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
10/19 Module 1 - Introduction to Data; Instruments and Social Inquiry
10/26 Module 2 - Program Evaluation
11/2 Module 3 - Measurement and Instrumentation Construction
11/9 Module 4 - Application; Development of an Instrument
11/16 Module 5 - Instrument Administration
11/23 Module 6 - Managing and Reporting Data
11/30 Module 7/8 - Final Research Project

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.