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9
entry-level skills had no significant predictive power to predict student performance
on the exit-level skills on the NCE.
Theoretical Framework
The theoretical framework for this study was designed as a predictive validity
model. Review of prior predictive validity studies positions and contextualizes this
study with prior research that has investigated relationships of admission variables
with student outcomes. Correlations between predictor measures and criterion
measures in the study were expected to show statistically significant correlation
coefficients in order to validate the use of measures used in the admission process.
Findings in this study demonstrated both statistically significant correlations and
practical indications that predictor variables used as indicators to predict student
success were valid. The GPAsci was the most significant predictor variable in the
admission selection process; GPAsci demonstrated a near significant correlation (r =
0.052) with program completion, a statistically significant correlation (r = 0.009)
with NCE performance; and statistically significant correlation (r = 0.000) with
graduates performance in the basic science concepts (PANCE7) on the NCE.
Purpose of the Study
The primary purpose of the study is threefold: First, to evaluate the
reliability and predictive validity of the admission variables in being able to project
student success in a community college-based physician assistant program. State
regulations define predictive validity principles that must be adhered to when
establishing admission criteria for a community college-based program. The current
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 17 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 9 entry-level skills had no significant predictive power to predict student performance on the exit-level skills on the NCE. Theoretical Framework The theoretical framework for this study was designed as a predictive validity model. Review of prior predictive validity studies positions and contextualizes this study with prior research that has investigated relationships of admission variables with student outcomes. Correlations between predictor measures and criterion measures in the study were expected to show statistically significant correlation coefficients in order to validate the use of measures used in the admission process. Findings in this study demonstrated both statistically significant correlations and practical indications that predictor variables used as indicators to predict student success were valid. The GPAsci was the most significant predictor variable in the admission selection process; GPAsci demonstrated a near significant correlation (r = 0.052) with program completion, a statistically significant correlation (r = 0.009) with NCE performance; and statistically significant correlation (r = 0.000) with graduates performance in the basic science concepts (PANCE7) on the NCE. Purpose of the Study The primary purpose of the study is threefold: First, to evaluate the reliability and predictive validity of the admission variables in being able to project student success in a community college-based physician assistant program. State regulations define predictive validity principles that must be adhered to when establishing admission criteria for a community college-based program. The current |
