Beyond classical content validity indices: methodological aspects and reporting recommendations for nursing research

Background: Expert panels are widely used in nursing research to judge whether items, definitions or diagnostic components adequately represent a content domain. However, numerical indices for these tasks are often treated as if they all measured the same entity. Aims: To examine classical and less commonly discussed procedures used to summarise expert judgement in content-validation studies. Methods: A narrative methodological review and analytical demonstration used seminal and later methodological sources to address five predefined questions; hypothetical datasets were used only to reproduce and compare the procedures. Findings: The procedures are not interchangeable; while some summarise the proportion of experts endorsing relevance or essentialness, others preserve graded ratings, some adjust a proportion for a chance model and others focus on disagreement, coverage or item-to-domain mapping. Because these procedures transform expert judgements differently, the same ratings can produce different numerical values. Small panels can also produce imprecise estimates even when a point estimate appears favourable. Conclusion: Researchers should choose a procedure because it answers their methodological question. Clear reporting of the target domain, expert task, original ratings, formula, panel size, uncertainty and complementary agreement or reliability information makes content-validation evidence easier to interpret and use.

Authors

Institutions

Publication Details

Journal
Journal of research in nursing
Published
2026-11-07
DOI
https://doi.org/10.1177/17449871261495831
Primary Topic
Health Education and Validation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Beyond classical content validity indices: methodological aspects and reporting recommendations for nursing research

Viviane Martins da Silva, Marcos Venícios de Oliveira Lopes
1 links
Journal of research in nursing
Health Education and Validation
article

Beyond classical content validity indices: methodological aspects and reporting recommendations for nursing research

Viviane Martins da Silva, Marcos Venícios de Oliveira Lopes
article en

Abstract

Background: Expert panels are widely used in nursing research to judge whether items, definitions or diagnostic components adequately represent a content domain. However, numerical indices for these tasks are often treated as if they all measured the same entity. Aims: To examine classical and less commonly discussed procedures used to summarise expert judgement in content-validation studies. Methods: A narrative methodological review and analytical demonstration used seminal and later methodological sources to address five predefined questions; hypothetical datasets were used only to reproduce and compare the procedures. Findings: The procedures are not interchangeable; while some summarise the proportion of experts endorsing relevance or essentialness, others preserve graded ratings, some adjust a proportion for a chance model and others focus on disagreement, coverage or item-to-domain mapping. Because these procedures transform expert judgements differently, the same ratings can produce different numerical values. Small panels can also produce imprecise estimates even when a point estimate appears favourable. Conclusion: Researchers should choose a procedure because it answers their methodological question. Clear reporting of the target domain, expert task, original ratings, formula, panel size, uncertainty and complementary agreement or reliability information makes content-validation evidence easier to interpret and use.

Journal of research in nursing
Universidade Federal do Ceará (BR)
Openalex Percentile: Top 10%
Health Education and Validation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon