Page 79 |
Save page Remove page | Previous | 79 of 136 | Next |
|
small (250x250 max)
medium (500x500 max)
Large (1000x1000 max)
Extra Large
large ( > 500x500)
Full Resolution
All (PDF)
|
This page
All
|
71
Table 7
Correlation between Predictor Measures and Criterion Measures in the study
Outcomes (dependent variables)
Completion Pance1 Pance2 Pance3 Pance4 Pance5 Pance6 P/F
Predictors
(IV)
GPAcum
GPAsci
Experience
#hours
Essay
Reference
Skills
Recommendation of correlational researchers suggests a cross-validation
check to determine the extent of shrink in the initial set of correlation coefficients
before using them in prediction situations. Making predictions on the basis of
correlation coefficient scores derived from one sample is uncertain (Gall et. al, p.
346-47). If the correlations drop to a non-significant level it should be dropped.
Since a cross-validation was not performed in this study, this is a limitation that
obtains in the study.
To determine the magnitude of the relationship between two variables,
bivariate correlational statistics was incorporated into the study. Variable forms used
in this study are primarily continuous forms therefore the most appropriate bivariate
technique is the product-moment correlation. The correlation between the predictor
variable and the prediction criterion is expected to be linear. If the study shows non-
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 79 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 71 Table 7 Correlation between Predictor Measures and Criterion Measures in the study Outcomes (dependent variables) Completion Pance1 Pance2 Pance3 Pance4 Pance5 Pance6 P/F Predictors (IV) GPAcum GPAsci Experience #hours Essay Reference Skills Recommendation of correlational researchers suggests a cross-validation check to determine the extent of shrink in the initial set of correlation coefficients before using them in prediction situations. Making predictions on the basis of correlation coefficient scores derived from one sample is uncertain (Gall et. al, p. 346-47). If the correlations drop to a non-significant level it should be dropped. Since a cross-validation was not performed in this study, this is a limitation that obtains in the study. To determine the magnitude of the relationship between two variables, bivariate correlational statistics was incorporated into the study. Variable forms used in this study are primarily continuous forms therefore the most appropriate bivariate technique is the product-moment correlation. The correlation between the predictor variable and the prediction criterion is expected to be linear. If the study shows non- |
