Job Satisfaction Levels of Special Education Assessment Personnel: A Quantitative Cross-Sectional Survey Study
Document Type
Dissertation
Degree Name
Doctor of Education (Ed.D)
Department
Educational Administration
Date of Award
Spring 2023
Abstract
The state of Texas is currently under a federal mandate of corrective action from the United States Department of Education (USED). Many students who were denied referral to special education services in the past are being referred in record numbers across the state. Given the historical shortage of special education assessment personnel, the purpose of this quantitative study was to describe the motivator and maintenance factors influencing the job satisfaction levels of currently employed special education assessment personnel, educational diagnosticians and licensed specialists in school psychology (LSSPs) in the state of Texas, viewed through the lens of Herzberg’s Dual-Factor Theory (Herzberg, 1968). A simple random stratified sample of currently employed educational diagnosticians and LSSPs in school districts in the state of Texas was administered an electronic version of the JDI and JIG with two additional open-ended questions on job satisfaction and the likelihood of employee retention was asked at survey completion. The quantitative data was analyzed using descriptive and inferential statistics, while the qualitative data was examined through axial coding and identification of emergent themes. This study will enhance the greater body of knowledge on job satisfaction levels of special education assessment personnel and how districts can work to support and sustain these critical and hard to fill positions and sustain these employees in the future.
Advisor
Julia Ballenger
Subject Categories
Education | Special Education and Teaching
Recommended Citation
Campbell-Kaiser, Sheri D., "Job Satisfaction Levels of Special Education Assessment Personnel: A Quantitative Cross-Sectional Survey Study" (2023). Electronic Theses & Dissertations. 1064.
https://digitalcommons.tamuc.edu/etd/1064