Literature DB >> 28833443

Psychometric testing of the revised "Families' Importance in Nursing Care-Nurses' Attitudes instrument".

Benjamin R Mackie1, Andrea Marshall2, Marion Mitchell3,4, Michael J Ireland5.   

Abstract

BACKGROUND: The validity of instruments is crucial in ensuring that data collected are sound and that these data represent what the instrument claims to measure. When an instrument is revised or used in a different population, it is useful to re-examine its construct validity. AIM: To test the psychometrics properties of an instrument-the revised Families' Importance In Nursing Care-Nurses' Attitudes, designed to measure nurse' attitudes towards involving family in nursing care in an adult acute care setting. DESIGN AND
METHODOLOGY: A cross-sectional survey design was used in April-May 2016 with a sample of Enrolled and Registered Nurses (N = 212) to test the factor structure of the revised Families' Importance In Nursing-Nurses' Attitudes instrument. The instrument had 26 items with a five-point Likert response scale. Principle components analysis and exploratory factor analysis were performed with oblique rotations to assess the internal structure of the instrument.
SETTING: A regional referral hospital in Queensland, Australia.
RESULTS: Using Principal Components Analysis and Principal Axis Factoring, we obtained the same factor structure to that originally identified for the instrument. Our results suggested the removal of six items to refine the instrument and achieve simple structure.
CONCLUSION: The removal of several items, relabeling of factors and residual cross-loading issues suggest that further revisions to the instrument are needed.
© 2017 John Wiley & Sons Ltd.

Keywords:  acute care; attitudes; construct validity; factor analysis; family; family care; nursing; psychometric testing and survey

Mesh:

Year:  2017        PMID: 28833443     DOI: 10.1111/jan.13442

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  1 in total

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Authors:  Wei Qing Zhang; Jed Montayre; Mu-Hsing Ho; Fang Yuan; Hui-Chen Rita Chang
Journal:  Nurs Health Sci       Date:  2022-02-22       Impact factor: 2.214

  1 in total

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