The purpose of this study is to analyze medical dosimetry programs in the United States with regard to their assessment data and specific program characteristics. I identified participating programs through the Joint Review Committee on Education in Radiologic Technology (JRCERT) program directory web page for medical dosimetry programs. Once I acquired the email addresses of each program director for all 18 programs, I emailed the program directors requesting their participation in the study. Six program directors responded to the email request and sent all the needed data for the study. The specific data evaluated in this study is assessment data for all four student learning objectives (SLO’s) identified by the JRCERT and program effectiveness data (i.e. certification pass rates, job placement rates for graduates, and attrition rates). I correlated the assessment data and program effectiveness data for each program to look for significance in comparison to the length of time a program received accreditation by the (JRCERT), length of each program academically, and the degree granted by each program. For the variables, I ran a Pearson Correlation and a linear regression, which also provides a significance value for the linear regression. The findings of the study illustrated no significance within the data when comparing it to the specific program characteristics. The study did illustrate some predictability within the linear regression, but did not illustrate any significant linear regression among the data points. This illustrates the dependent variables do not correlate with the independent variables, but are able to explain some of the variability in the dependent variable. Program accreditation is an important aspect for any medical dosimetry program and should be an integral part of the daily mechanisms. Educators need to continually look for ways to improve their assessment endeavors to help improve their programs and student success. Based on the findings of this study, research should continue on assessment data in the field of radiologic sciences and specifically in the field of medical dosimetry with larger population groups.
| Identifer | oai:union.ndltd.org:siu.edu/oai:opensiuc.lib.siu.edu:dissertations-2805 |
| Date | 01 May 2020 |
| Creators | McKinnies, Richard C |
| Publisher | OpenSIUC |
| Source Sets | Southern Illinois University Carbondale |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Dissertations |
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