Validity evaluation of the genetics and genomics in nursing practice survey

Abstract Aim To psychometrically test the Genetics and Genomics Nursing Practice Survey (GGNPS) for evidence of content, face and construct validity. Design This study was a secondary data analysis. Method Data collected from the Method for Introducing a New Competency into Nursing Practice (MINC) s...

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Main Authors: Alexandra Plavskin, William E. Samuels, Kathleen A. Calzone
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:Nursing Open
Subjects:
Online Access:https://doi.org/10.1002/nop2.346
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spelling doaj-d2283eea11eb4797b8df62aff33e91732020-11-25T01:18:12ZengWileyNursing Open2054-10582019-10-01641404141310.1002/nop2.346Validity evaluation of the genetics and genomics in nursing practice surveyAlexandra Plavskin0William E. Samuels1Kathleen A. Calzone2Hunter College New York New YorkCollege of Staten Island CUNY Staten Island New YorkCenter for Cancer Research National Institutes of Health, National Cancer Institute Bethesda MarylandAbstract Aim To psychometrically test the Genetics and Genomics Nursing Practice Survey (GGNPS) for evidence of content, face and construct validity. Design This study was a secondary data analysis. Method Data collected from the Method for Introducing a New Competency into Nursing Practice (MINC) study were used to evaluate the GGNPS for evidence of construct validity via structural equation modelling and confirmatory factor analysis. Face validity was evaluated via feedback from practicing RNs without specific experience with or knowledge of genetics/genomics. Content validity was evaluated via content expert feedback and assessment of a content validity index. Results The thresholds for evidence of content and face validity were met. However, we found less evidence for construct validity of the GGNPS; an exploratory factor analysis, conducted to gain additional insight into the theorized latent constructs, determined that the variables were more interrelated that previously predicted.https://doi.org/10.1002/nop2.346geneticsgenomicsinstrument developmentstatistical modelling
collection DOAJ
language English
format Article
sources DOAJ
author Alexandra Plavskin
William E. Samuels
Kathleen A. Calzone
spellingShingle Alexandra Plavskin
William E. Samuels
Kathleen A. Calzone
Validity evaluation of the genetics and genomics in nursing practice survey
Nursing Open
genetics
genomics
instrument development
statistical modelling
author_facet Alexandra Plavskin
William E. Samuels
Kathleen A. Calzone
author_sort Alexandra Plavskin
title Validity evaluation of the genetics and genomics in nursing practice survey
title_short Validity evaluation of the genetics and genomics in nursing practice survey
title_full Validity evaluation of the genetics and genomics in nursing practice survey
title_fullStr Validity evaluation of the genetics and genomics in nursing practice survey
title_full_unstemmed Validity evaluation of the genetics and genomics in nursing practice survey
title_sort validity evaluation of the genetics and genomics in nursing practice survey
publisher Wiley
series Nursing Open
issn 2054-1058
publishDate 2019-10-01
description Abstract Aim To psychometrically test the Genetics and Genomics Nursing Practice Survey (GGNPS) for evidence of content, face and construct validity. Design This study was a secondary data analysis. Method Data collected from the Method for Introducing a New Competency into Nursing Practice (MINC) study were used to evaluate the GGNPS for evidence of construct validity via structural equation modelling and confirmatory factor analysis. Face validity was evaluated via feedback from practicing RNs without specific experience with or knowledge of genetics/genomics. Content validity was evaluated via content expert feedback and assessment of a content validity index. Results The thresholds for evidence of content and face validity were met. However, we found less evidence for construct validity of the GGNPS; an exploratory factor analysis, conducted to gain additional insight into the theorized latent constructs, determined that the variables were more interrelated that previously predicted.
topic genetics
genomics
instrument development
statistical modelling
url https://doi.org/10.1002/nop2.346
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