Department of Nursing, Faculty of Health Sciences, Melilla Campus, University of Granada, Calle Santander s/n, 52001 Melilla, Spain.
Department of Inorganic Chemistry, HUM-613 Research Group, Faculty of Health Sciences, Melilla Campus, University of Granada, Calle Santander s/n, 52001 Melilla, Spain.
Nutrients. 2020 Apr 18;12(4):1136. doi: 10.3390/nu12041136.
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 (.001). Coherence was the most statistically significant characteristic in the first block ( = 0.030). Clarity was the most statistically significant characteristic in the second block ( = 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.
本研究旨在通过专家判断对一种工具进行内容验证,该工具旨在探讨怀孕期间的营养知识、信念和习惯。这是一项心理测量学研究,共有 14 名专家参与了对每个问卷条目的评估,这些条目根据充足性、清晰度、连贯性和相关性的特点分为两个模块。Fleiss'κ 统计量用于衡量一致性的强度。对 102 名参与者进行了预测试,以衡量工具的可理解程度。每个维度的一致性强度几乎都是完美的。对于每对专家,一致性强度在两个模块之间都在实质性和几乎完美之间。在这两个模块中,问卷的充足性特征获得了最高值,且在统计学上也最显著(.001)。在第一模块中,连贯性是最具统计学意义的特征(=0.030)。在第二模块中,清晰度是最具统计学意义的特征(=0.037)。对 20 个原始条目中的 5 个进行了修正。该工具的新版本达到了高度的可理解性。结果表明该工具是有效的,因此可以应用。