Summer | 2023 | Franklin University

Skip to main content

Summer

Dissertations from 2023 2023

The Self-Directed Career Growth Success Factors of Autistic Business Leaders Who Serve The United States Tech Industry. A Phenomenological Study, Jason Todd Cohen

A qualitative study informed by Critical Race Theory (CRT): Black white-collar workers assess racism, biases, and discrimination in organizational settings, Lloyd Alan Demmons

Qualitative Research Study: Lived Experiences In Post-Traumatic Stress Disorder Diagnosed Veterans Utilizing Telemedicine Treatment, Kristen L. Epperly

Mid-Level Community College Leaders and Competencies for Success: A Qualitative Study, Katherine Elizabeth Gonzalez
This submission includes a video of the candidate’s defense.

A Practical and Fast Numerical Method for Calculating Global Sensitivity with Examples from Supply Chain and Measurement Applications, William Alan Groves

Measuring Successful Social Inclusion of Clients With Intellectual Disabilities: A Case Study From The Perspective of Staff Providing Services, Anita Johnson

Bringing Out-Of-District Special Education Students Back to Their Home District, Robert F. Johnson

An Examination of the Benefits of Mentoring for African American Female Accountants, Gina Louise Jones
Franklin University Dissertation Excellence Award - Nominee (Summer 2023)

The Role of Foster Care Organizational Systems’ Components on Financial Independence, Liz Kheng-Chindavong

Academic Optimism of Columbus City Schools' High School Teachers in Relation to the Black-White Achievement Gap, Rachelle Smith

Teacher Participation and Professional Learning Communities: A Qualitative Descriptive Study, Dion Dolton Thomas

Navigating the “New Normal”: Investigating the Relationship Between Full-time Remote Work, Organizational Justice, and Turnover Intentions., Terrance A. Truitt
Franklin University Dissertation Excellence Award - Nominee (Summer 2023)

Relationships Between Big Five Personality Traits and Three Dimensions of Employee Engagement, Kelly N. Tussey

What Are Radiologists' Perceptions in Regard to Image Quality and Increased Utilization Due to Vendor Provided Deep Learning Signal to Noise Ratio and Deep Learning Reconstruction on 3.0T Magnetic Resonance Imagine?, Gianni Venturi

Perceived Usability Evaluation Of Hands-On And Virtual Science Laboratories: Using The System Usability Scale (SUS) To Determine Adult Learners’ Preferred At-Home Laboratory Experience, Amiee M. Wagner
Franklin University Dissertation Excellence Award - Winner (Summer 2023)