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- Title
Psychometric Evaluation of a Six Dimension Scale of Nursing Performance and Student Nurse Stress Index Using an Objective Structured Clinical Examination -- Modules for Asthma and Type 1 Diabetes.
- Authors
Kyong-ok Park; Young-mee Ahn; Na-rae Kang; Mi-jin Lee; Min Sohn
- Abstract
Purpose: The study purposes were to describe the process of developing the Korean versions of the Six Dimension Scale of Nursing Performance (Six-D) and Student Nurse Stress Index (SNSI) and psychometric evaluation of the two measurements. Methods: This was a methodology study using a descriptive cross-sectional design with 51 nursing students in 4th year of university. Internal consistency reliability was assessed using Cronbach alphas. Construct validity was determined by exploring correlations among Six-D, SNSI, objective structured clinical examination (OSCE), self-efficacy and grade point average (GPA). Results: Internal consistency reliability of Six-D and SNSI was acceptable with Cronbach's α of .95 and .82. Correlation analysis to determine construct validity revealed that Six-D presented positive correlations with OSCE (r = .109~.272) and self-efficacy (r = .005~.161) and negative correlation with GPA (r = -.246~-.394), although all were not statistically significant. SNSI presented all negative correlations with OSCE (r = -.007~-.238), self-efficacy (r = -.246~-.394), and GPA (r = -.092~-.426) and were mostly statistically significant except OSCE. Conclusion: Six-D needs more evidence to confirm validity to predict observed clinical competency and theoretical relationships with self-efficacy and GPA. However, SNSI presented trends of expected relationships with relevant variables. Therefore, further research is recommended in testing validity of Six-D with other student populations.
- Subjects
ACADEMIC achievement evaluation; ASTHMA; STATISTICAL correlation; TYPE 1 diabetes; INTERPERSONAL relations; RESEARCH methodology; META-analysis; NURSING; NURSING students; PSYCHOMETRICS; RESEARCH funding; SELF-efficacy; INTER-observer reliability; MULTITRAIT multimethod techniques; CROSS-sectional method; RESEARCH methodology evaluation; DESCRIPTIVE statistics
- Publication
Child Health Nursing Research, 2013, Vol 19, Issue 2, p85
- ISSN
2287-9110
- Publication type
Article
- DOI
10.4094/chnr.2013.19.2.85