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37
GPA had a 79% successful completion rate whereas students with an overall GPA of
3.0 had a 73% completion rate (Phillips et al., 2002).
A composite formula was created using logistic regression and application of
the formula in the admission process decreased the attrition rate from 27% in 1998-
99 to 18% in 1999-2000. Use of the composite formula to predict student success
resulted in an improvement in completion rate for ethnic groups rather than a
decrease in improvement. Findings of the study were significant in that researchers
were able to create a formula to improve success rates without negatively influencing
the success rates of any ethnic group. The predictive validity principles defined by
the state regulations were met and the results were higher success rates for all
students (Phillips et. al, 2002).
Phillips’ study served as a strong foundation for this study because of the
similarity of issues related to state mandates governing admission selection criteria to
community college based programs. Phillips’ study will serve as a model for
validating knowledge on prerequisites and skills for the physician assistant program.
The physician assistant program faces the same problems identified in this study;
high attrition rates, shortage of PA practitioners, and problems identifying the
prerequisite skills and knowledge needed to select students with a relatively high
probability of successfully completing the program and passing the National
Certifying Examination.
Chisholm (1995; 1997) approaches the subject slightly differently from the
previous researchers. He used admission variables to predict academic failure
Object Description
| Title | A predictive valdity study: correlation of admission variables with program completion and student performance on the National Certification Examination in a physician assistant program |
| Author | Middleton, Delores E. |
| Author email | delores.middleton@rcc.edu; lolokinard@yahoo.com |
| Degree | Doctor of Education |
| Document type | Dissertation |
| Degree program | Education |
| School | Rossier School of Education |
| Date defended/completed | 2008-08-29 |
| Date submitted | 2008 |
| Restricted until | Unrestricted |
| Date published | 2008-10-18 |
| Advisor (committee chair) | Jimenez y West, Ilda |
| Advisor (committee member) |
Cole, Darnell Hocevar, Dennis J. |
| Abstract | The purpose of this investigation was to examine the reliability and predictive validity of the of admission data in predicting student success in completing a community college-based physician assistant program and their performance on the National Certification Examination (NCE). The files of 170 graduates were reviewed and the following data was complied: 1) science grade point average (GPAsci), 2) cumulative grade point average (GPAcum), 3) reference letter ratings, 4) personal statement ratings, and 5) work experience -- each identified as a predictor measure in this study. The criterion measures identified in the study were 1) program completion, 2) performance on the NCE, and 3) skills. Findings demonstrated variations in the degree of relationship among predictor measures and criterion measures. The GPAsci demonstrated the greatest degree of correlation with student outcome in comparison with other predictor measures, which is consistent with previous research. Overall, the research demonstrated that there was practical significance or potentially significance correlations between the majority of the predictor measures. |
| Keyword | admission variable; criterion measures; national certification examination; criterion related evidence; reliability and predictive validy; prior academic achievement; letters of reference; personal statement; work experience |
| Coverage date | 1999/2005 |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m1678 |
| Contributing entity | University of Southern California |
| Rights | Middleton, Delores E. |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | cisadmin@lib.usc.edu |
| Filename | etd-Middleton-2420 |
| Archival file | uscthesesreloadpub_Volume32/etd-Middleton-2420.pdf |
Description
| Title | Page 45 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 37 GPA had a 79% successful completion rate whereas students with an overall GPA of 3.0 had a 73% completion rate (Phillips et al., 2002). A composite formula was created using logistic regression and application of the formula in the admission process decreased the attrition rate from 27% in 1998- 99 to 18% in 1999-2000. Use of the composite formula to predict student success resulted in an improvement in completion rate for ethnic groups rather than a decrease in improvement. Findings of the study were significant in that researchers were able to create a formula to improve success rates without negatively influencing the success rates of any ethnic group. The predictive validity principles defined by the state regulations were met and the results were higher success rates for all students (Phillips et. al, 2002). Phillips’ study served as a strong foundation for this study because of the similarity of issues related to state mandates governing admission selection criteria to community college based programs. Phillips’ study will serve as a model for validating knowledge on prerequisites and skills for the physician assistant program. The physician assistant program faces the same problems identified in this study; high attrition rates, shortage of PA practitioners, and problems identifying the prerequisite skills and knowledge needed to select students with a relatively high probability of successfully completing the program and passing the National Certifying Examination. Chisholm (1995; 1997) approaches the subject slightly differently from the previous researchers. He used admission variables to predict academic failure |
