Literature DB >> 35633049

Construct validity of Advanced Practice Role Delineation tool: A confirmatory factor analysis.

Krista Jokiniemi1, Tarja Tervo-Heikkinen2, Jaana Peltokoski3, Santtu Mikkonen4.   

Abstract

AIM: To test the psychometric properties and latent structure of the modified Strong Model of Advanced Practice tool.
BACKGROUND: The Strong Model of Advanced Practice tool, developed in the United States in 1990s and its Australia modification, has been increasingly used to delineate nursing and advanced practice nursing roles. Few research-driven efforts to develop and validate these tools have taken place.
DESIGN: Psychometric testing of the modified Strong Model of Advanced Practice tool.
METHODS: A confirmatory factor analysis was undertaken to examine the factors of the modified Strong Model of Advanced Practice tool and compare the model to the Australian Advanced Practice Role Delineation tool. The data were collected in September 2020.
RESULTS: The analysis of the data provided construct validity evidence of the underlying theoretical structures of the five-factor modified Strong Model of Advanced Practice tool. The 45-item modified Strong Model of Advanced Practice tool demonstrated satisfactory, slightly better psychometric properties and construct validity than the 40-item Advanced Practice Role Delineation tool.
CONCLUSIONS: Psychometric properties of the scale were evaluated and reported. Based on the statistical analysis, we suggest the use of the 45-item modified Strong Model of Advanced Practice tool.
© 2022 The Authors. International Journal of Nursing Practice published by John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  advanced practice nursing; factor analysis; nurse's role; psychometrics; statistical; survey

Mesh:

Year:  2022        PMID: 35633049     DOI: 10.1111/ijn.13064

Source DB:  PubMed          Journal:  Int J Nurs Pract        ISSN: 1322-7114            Impact factor:   2.226


  1 in total

1.  Advanced practice role delineation within Hong Kong: A cross-sectional study.

Authors:  Krista Jokiniemi; Sek Ying Chair; Frances Kam Yuet Wong; Denise Bryant-Lukosius
Journal:  Nurs Health Sci       Date:  2022-07-08       Impact factor: 2.214

  1 in total

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