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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15120%2F23%3A73624774" target="_blank" >RIV/61989592:15120/23:73624774 - isvavai.cz</a>

  • Result on the web

    <a href="https://obd.upol.cz/id_publ/333204661" target="_blank" >https://obd.upol.cz/id_publ/333204661</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1891/JNM-2021-0051" target="_blank" >10.1891/JNM-2021-0051</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Nursing Measurement

  • ISSN

    1061-3749

  • e-ISSN

    1945-7049

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    15

  • Pages from-to

    412-426

  • UT code for WoS article

    001106501000011

  • EID of the result in the Scopus database

    2-s2.0-85173571309