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iii
ACKNOWLEDGEMENTS
I would like to acknowledge my gratitude and appreciation to Dr. Ilda Jimenez West
for the academic and moral support she provided while guiding me through this
process. Her faith in me gave me the strength and courage to complete this task.
I would like to express my thanks to Dr. Darnell Cole for his educational guidance
and moral support in helping me achieve this goal.
Thanks to Dr. Dennis Hocevar for the many hours he spent teaching and guiding me
through the data analysis process. His one-on-one instruction provided me with life
long skills and understanding of data analysis. I am truly grateful.
Overall, I would like to thank my committee for their commitment and the
enthusiasm they demonstrated while directing me through this process.
Special thanks to Lisa Landry-Taylor and Janice Tramel for their friendship and their
commitment to see me through the completion of this project. Their participation as
raters in this process enhanced the outcomes of the study. They were instrumental in
designing the analytic and holistic rubrics used in this study.
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 3 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | iii ACKNOWLEDGEMENTS I would like to acknowledge my gratitude and appreciation to Dr. Ilda Jimenez West for the academic and moral support she provided while guiding me through this process. Her faith in me gave me the strength and courage to complete this task. I would like to express my thanks to Dr. Darnell Cole for his educational guidance and moral support in helping me achieve this goal. Thanks to Dr. Dennis Hocevar for the many hours he spent teaching and guiding me through the data analysis process. His one-on-one instruction provided me with life long skills and understanding of data analysis. I am truly grateful. Overall, I would like to thank my committee for their commitment and the enthusiasm they demonstrated while directing me through this process. Special thanks to Lisa Landry-Taylor and Janice Tramel for their friendship and their commitment to see me through the completion of this project. Their participation as raters in this process enhanced the outcomes of the study. They were instrumental in designing the analytic and holistic rubrics used in this study. |
