Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses

Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18.

Abstract

Purpose: The purpose of this study was to develop the modified research utilization questionnaire (M-RUQ) and to establish its content and face validity, construct validity, and reliability.

Methods: This study has a multiphase (three phases), methodological, and cross-sectional design. First, research utilization questionnaire (RUQ) was translated into Italian, which is the target language to develop the M-RUQ. Second, the RUQ psychometric proprieties were assessed using exploratory factorial analysis to identify ambiguous or problematic items (e.g., cross-loadings) (cross-sectional sampling A). The RUQ modification (i.e., item deleting, wording modification, and scoring procedure) represented the development of the M-RUQ among Italian nurses. The third phase was aimed to confirm the construct validity of the M-RUQ and to test its stability and internal consistency (cross-sectional sampling B).

Results: This study's findings show that M-RUQ has a three-dimensional structure and a total of 22 items. The M-RUQ shows evidence of validity and reliability. Precisely, the factorial structure coming from an exploratory factorial analysis on the first sample (n = 504) was confirmed by a final model of confirmatory factorial analysis (CFA) on a second sample (n = 362). The final CFA model showed adequate goodness of fit, where all the factor loadings showed values higher than .40. Cronbach's α was satisfactory for each domain and for the overall scale. Furthermore, the M-RUQ showed good stability described by the test-retest.

Conclusion: The M-RUQ should be used to assess research utilization among nurses for educational or research purposes to address the practice. Further research about its validity and reliability is suggested.

Keywords: evidence-based nursing; nursing; psychometrics.

Publication types

  • Validation Study

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Italy
  • Male
  • Middle Aged
  • Nursing Staff*
  • Psychometrics
  • Surveys and Questionnaires*