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Content Validation through Expert Judgement of an Instrument on the Nutritional Knowledge, Beliefs, and Habits of Pregnant Women
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The aim of this study was to conduct content validation through expert judgement of an instrument which explores the nutritional knowledge, beliefs, and habits during pregnancy. This is a psychometric study in which 14 experts participated in the evaluation of each of the questionnaire items, which were divided into two blocks according to the characteristics of sufficiency, clarity, coherence, and relevance. Fleiss’ κ statistic was used to measure strength of agreement. A pre-test with 102 participants was conducted to measure the degree of understandability of the instrument. The strength of agreement obtained for each of the dimensions was almost perfect. For each pair of experts, strength of agreement ranged between substantial and almost perfect. Sufficiency was the characteristic of the questionnaire that obtained the highest values in the two blocks, and was also the most statistically significant (p < 0.001). Coherence was the most statistically significant characteristic in the first block (p = 0.030). Clarity was the most statistically significant characteristic in the second block (p = 0.037). The wording of five of the twenty original items was corrected. The new version of the instrument attained a high degree of understandability. The results suggest that the instrument is valid and may therefore be applied.
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The experts analysed the instrument according to the characteristics of sufficiency, clarity, coherence and relevance.
“The experts analysed the instrument according to the characteristics of sufficiency, clarity, coherence and relevance (Fernández-Gómez et al., 2020).”
From Design and validation of the AI literacy questionnaire: The affective, behavioural, cognitive and ethical approach (2024) · cites this paper as Fernández-Gómez et al., 2020
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“In addition to fulfilling the mother’s needs, the needs of the fetus must also be covered [13,14].”
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Metadata
- Authors
- Fernández-Gómez, E., Martín-Salvador, A., Luque-Vara, T., Sánchez-Ojeda, M. A., Navarro-Prado, S., & Enrique-Mirón, C.
- Affiliations
- Universidad de Granada (ES)
- Department of Nursing, Faculty of Health Sciences, Melilla Campus, University of Granada, Calle Santander s/n, 52001 Melilla, Spain
- Corresponding author
- Luque-Vara, Trinidad
- ORCID
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2020-04-18
- Volume
- 12
- Issue
- 4
- Pages
- 1136
- ISSN
- 2072-6643 (ISSN-L)
- PMC
- PMC7230573
- OpenAlex
- W3016844552
- Cited by
- 211
- References
- 3
- Citations by year
- 2026: 40 · 2025: 42 · 2024: 59 · 2023: 32 · 2022: 22 · 2021: 10 · 2020: 4
- FWCI
- 20.09
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Nutrients (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Institutional Repository of the University of Granada (University of Granada) (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Keywords
- content validation, expert opinion, questionnaire development, nutrition knowledge, food beliefs, dietary habits, pregnancy, pregnant women, assessment validity
- MeSH terms
- Expert Testimony, Feeding Behavior, Female, Humans, Health Knowledge, Attitudes, Practice, Pregnancy, Psychometrics, Surveys and Questionnaires, Pregnant People, Maternal Nutritional Physiological Phenomena, Prenatal Nutritional Physiological Phenomena
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