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Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
Diversifying the Pipeline Into Doctoral Nursing Programs: Developing the Doctoral Advancement Readiness
Vernell P DeWitty1, Patricia A Tabloski2, Catherine M Millett3
1Program Deputy Director, Robert Wood Johnson New Careers in Nursing, American Association of Colleges of Nursing, Washington, DC 20036-1120.
This study introduces a new self-assessment tool to help nurses gauge their readiness for doctoral study. The Doctoral Readiness Self-Assessment identifies key factors like interest, readiness, and support to predict success in nursing doctoral programs.
Area of Science:
- Nursing Education
- Higher Education
Background:
- Doctoral nursing education requires specific predictors and barriers for student success.
- Nurses considering doctoral programs need a structured self-assessment to evaluate their readiness.
- Existing mentoring platforms lack comprehensive readiness evaluations for aspiring doctoral students.
Purpose of the Study:
- To develop and psychometrically analyze the Doctoral Readiness Self-Assessment (DRSA) for nurses.
- To identify predictors and barriers influencing success in doctoral nursing education.
- To create a foundational tool for a web-based mentoring platform for prospective doctoral students.
Main Methods:
- Development of the Doctoral Readiness Self-Assessment (DRSA) survey.
- Psychometric analysis including factor analysis and internal reliability testing (Cronbach's alpha).
- Identification of practical (e.g., finances, time) and personal (e.g., motivation, perceived ability) factors.
Main Results:
- Factor analysis identified three distinct factors: interest, readiness, and support.
- Internal reliability analysis showed Cronbach's alpha increased from 0.75 to 0.80 after item refinement.
- The identified factors explained 51.25% of the variance in doctoral study readiness.
Conclusions:
- The DRSA is a psychometrically sound instrument for assessing doctoral study readiness in nurses.
- The identified factors (interest, readiness, support) can predict future enrollment in doctoral nursing programs.
- Self-assessment results can guide faculty in mentoring students through doctoral program applications and admissions.
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