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79
Table 12
Descriptive Statistics for Clinical Hours
Category Clinical Hours Frequency Valid Percent
1 <5000 57 33.7
2 5001 - 10000 39 23.1
3 10001 - 15000 27 16.0
4 15001 – 20000 23 13.6
5 20001 – 35000 17 10.1
6 >35001 6 3.6
Total 169 100.0
The descriptive statistics for entry-level skills are summarized in Table 13.
Skills that the applicant identified on the application were verified from the
Verification of Occupation form submitted which was completed by the employer or
representative thereof. Skills 1 through 7 are described below (Table 13) and the
percentage distribution of each skill are indicated. Skills 1- history taking and
physical exam, 4- health maintenance, and 5 - clinical interventions demonstrated the
highest frequency skills. Since experience with “hands-on” patient care is a
prerequisite for admission it is not surprising that these three skills were the most
often identified.
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 87 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 79 Table 12 Descriptive Statistics for Clinical Hours Category Clinical Hours Frequency Valid Percent 1 <5000 57 33.7 2 5001 - 10000 39 23.1 3 10001 - 15000 27 16.0 4 15001 – 20000 23 13.6 5 20001 – 35000 17 10.1 6 >35001 6 3.6 Total 169 100.0 The descriptive statistics for entry-level skills are summarized in Table 13. Skills that the applicant identified on the application were verified from the Verification of Occupation form submitted which was completed by the employer or representative thereof. Skills 1 through 7 are described below (Table 13) and the percentage distribution of each skill are indicated. Skills 1- history taking and physical exam, 4- health maintenance, and 5 - clinical interventions demonstrated the highest frequency skills. Since experience with “hands-on” patient care is a prerequisite for admission it is not surprising that these three skills were the most often identified. |
