ArticleIndian journal of psychiatry2025
Item generation and establishing face and content validity of a rating scale: A primer.
Article in Indian journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Measuring the influence of commercial determinants of health at the individual level: Protocol for tool development and validation.BMJ open · 2026Article
- Psychometric properties of the 11-item Trust in the Medical Profession scale (TIMP) Malay version.Journal of patient-reported outcomes · 2026Article
- Adaptation of a clinical practice guideline for home care nursing in heart failure patients: a multi-method study.BMC nursing · 2026Article
- Development and Validation of a Questionnaire to Assess Secondary Food Habits Associated With Smoking.Cureus · 2026Article
- Knowledge, attitudes, and practices of pre-hospital emergency medical care practitioners regarding sepsis recognition: a cross-sectional study in Qatar.BMC emergency medicine · 2026Article
- Designing and validating Pharmacy Ergonomics Assessment Checklist (PEAC): an exploratory mixed-method study.BMC health services research · 2026Article
- Translation, cultural adaptation, and psychometric validation of the Persian caregiver empowerment scale for stroke survivors for use in Iran.Health and quality of life outcomes · 2026Article
- Exploring stakeholder perspectives on nursing competencies in palliative care in India: a qualitative inquiry.BMC palliative care · 2026Article
- Development and Psychometric Evaluation of a Novel Medication Adherence Scale for Patients with Chronic Diseases in Low- and Middle-Income Countries.Patient preference and adherence · 2026Article
- Cross-cultural adaptation and psychometric validation of the simplified Oral Frailty Index (OFI-8) among Indonesian older adults.Frontiers in oral health · 2026Article
- Identifying the unseen: cross-cultural adaptation and psychometric properties of the persian dental neglect scale (P-DNS) to uncover oral health neglect in Iranian seniors.BMC geriatrics · 2025Article
- Criterion validity, construct validity, and factor analysis: An introductory overview.Indian journal of psychiatry · 2025Article
- Veterinarians' attitudes, knowledge, and practices about antibiotic use in animals: questionnaire design and reliability.Frontiers in veterinary science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article is the third in a series of learning resources on translation/adaptation of a scale, new scale development and testing its psychometric properties. This paper deals with the process of domain identification and item generation for a new scale and how to perform content validity (CV). During the scale development, the domain of interest/construct must be well-articulated and decided
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.