Predicting Academic Progression for Student Registered Nurse Anesthetists.
In order to foster academic progression and improve retention in nurse anesthesia programs, admission selection criteria require attention. With the escalating cost of graduate education coupled with the current economic crisis, efforts by educational leaders to minimize attrition remain pivotal. Se...
| Publicado en: | AANA Journal Vol. 79; no. 3; pp. 193 - 202 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
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American Association of Nurse Anesthetists
Jun2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=60912401&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 60912401 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00946354 GLR jtl: AANA Journal issn: 00946354 maglogo: N pubinfo: dt: Jun2011 vid: 79 iid: 3 pid: 11824 pub: American Association of Nurse Anesthetists place: Park Ridge, Illinois artinfo: ui: 60912401 60912401 104713724 60912401 ppf: 193 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Predicting Academic Progression for Student Registered Nurse Anesthetists. aug: au: Burns, Sharon M. affil: Interim program director and associate professor, Nurse Anesthesia Program, Midwestern University College of Health Sciences, Glendale, Arizona sug: subj: Education, Nurse Anesthesia Academic Achievement Student Selection Human Quantitative Studies Correlational Studies Descriptive Research Descriptive Statistics Student Dropouts Achievement Tests Convenience Sample Pearson's Correlation Coefficient Multiple Linear Regression Job Experience Logistic Regression Chi Square Test Outcomes of Education ab: In order to foster academic progression and improve retention in nurse anesthesia programs, admission selection criteria require attention. With the escalating cost of graduate education coupled with the current economic crisis, efforts by educational leaders to minimize attrition remain pivotal. Selecting potential candidates who are most likely to succeed, aligned with data-driven evidence, offers the greatest potential for academic success for student registered nurse anesthetists. The purpose of this quantitative correlational study was to determine if a relationship existed between admission criteria (grade point average [GPA], science grade point average [SGPA], Graduate Record Examination scores, and critical care experience) and academic progression (current academic status and GPA). Key findings revealed that statistically significant relationships exist between the admission selection criteria and academic progression. Findings also indicated that a combination of the independent variables, specifically the GPA and SGPA, predict academic progression. Further research that includes examination of cognitive and noncognitive admission criteria may offer greater evidence predicting academic performance by student registered nurse anesthetists. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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