Abstract
The purposes of this methodological psychometric study were to: 1) develop a criterion-referenced instrument using the steps outlined by Waltz, Strickland and Lenz (2005) to provide effective documentation of knowledge of advanced practice nursing in genetics; 2) determine the validity and reliability of the instrument; 3) compare pass/fail outcomes of nurses within and outside of the genetic specialty using the instrument; 4) compare pass/fail outcomes of Masters' prepared and non-Masters' prepared nurses using the instrument; and, 5) compare pass/fail outcomes of credentialed and non-credentialed advanced practice nurses in genetics using the instrument. An additional proposed aim, to evaluate congruence between instrument pass/fail outcomes and Genetic Nursing Credentialing Commission (GNCC) portfolio pass/fail outcomes, was not able to be fulfilled.
Sigma Membership
Upsilon Upsilon
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Quantitative Research
Keywords:
Advanced Nursing Practice, Genetic Specialty, Genetics
Advisor
Elizabeth W. Bayley
Second Advisor
Margaret Miller
Third Advisor
Rita Black Monsen
Fourth Advisor
Lois R. Allen
Degree
PhD
Degree Grantor
Widener University
Degree Year
2007
Recommended Citation
Santelli, Jeanine Seguin, "A Psychometric Analysis of an Instrument that Tests Genetic Knowledge of Advanced Practice Nurses in Genetics" (2018). Dissertations. 346.
https://www.sigmarepository.org/dissertations/346
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2018-03-23
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3253716; ProQuest document ID: 304744331. The author still retains copyright.