Linguistic Validation of Genomic Nursing Concept Inventory to Finnish Applying Mandysova's Decision Tree Algorithm

J Nurs Meas. 2023 Sep 1;31(3):412-426. doi: 10.1891/JNM-2021-0051. Epub 2022 Jul 6.

Abstract

Background and Purpose: Currently, there is no available Finnish version of the Genomic Nursing Concept Inventory tool (GNCI). This study tested the validity, reliability, and clinical usability of a Finnish translation. Methods: A decision tree algorithm was used to guide the translation, as per International Society for Pharmacoeconomics and Outcomes Research guidelines. Item-Content Validity Index (I-CVI), modified kappa (k*) statistics, and Cronbach's alpha were calculated. Results: The I-CVI and k* values were "good" to "excellent" (I-CVI = 0.63-1.00, k* = 0.52-1.00), and Cronbach's alpha value was "good" (α = 0.816; 95% confidence interval: 0.567-0.956). Conclusion: The Mandysova's decision tree algorithm provided clear and rigorous direction for the translation and validity of the Finnish GNCI.

Keywords: genetics–genomics concepts; instrument development; nursing education; translation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Decision Trees
  • Finland
  • Genomics*
  • Humans
  • Linguistics*
  • Reproducibility of Results
  • Surveys and Questionnaires