Test and item information of oral health literacy adult questionnaire: An item response theory study in Himachal Pradesh

D. Gurung, V. Bhardwaj, Shailee Fotedar
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Abstract

Context: Item response theory (IRT), is a psychometric measure of trait considering each response positioned on a continuum. Aim: Assessment of item and test information Oral Health Literacy Adults Questionnaire (OHL-AQ) using IRT in the patient visiting the tertiary institution of Himachal Pradesh. Settings and Design: A descriptive cross-sectional study conducted on patients visiting the outpatient department. Methods: Data were obtained from the participant and recorded on a structured schedule using OHL-AQ. Statistical Analysis: The two-assumption essential for IRT are unidimensionality and local independence of items. Unidimensional dichotomous IRT consists of three models and three parameters of difficulty discrimination and guessing. Item response interpretation is based on item characteristic curves, test characteristic curve (TCC), and test information function, and analyses were conducted using the statistical software package STATA version 14. Results: The selection of 3PL model is based on the likelihood ratio test which is higher (χ2 = 133.62, P < 0.0001) than other models (χ2 = 130.41, P < 0.0001). The parameter estimate of pseudo-guessing is 0.02 indicating mild degree of guessing and represent the smallest probability of correct response. The TCC of the study shows that 95% of the randomly selected respondent scored between 3.23 and 14. The median probability of correct response is 8.16 when both difficulty and discrimination parameter is equal. Conclusion: IRT is an estimated probability of a response to a given item. Our study showed that OHL-AQ measures higher levels of OHL more precisely compared to lower levels. The OHL-AQ scale is the precise measure of both high and low levels of OHL.
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成人口腔健康素养问卷的测试和项目信息:喜马偕尔邦的项目反应理论研究
情境:项目反应理论(IRT)是一种心理测量方法,考虑到每个反应都位于一个连续体上。目的:在访问喜马偕尔邦高等教育机构的患者中使用IRT评估项目和测试信息成人口腔健康素养问卷(OHL-AQ)。设置和设计:对门诊就诊的患者进行的描述性横断面研究。方法:从参与者那里获得数据,并使用OHL-AQ在结构化时间表上进行记录。统计分析:IRT的两个基本假设是单维度和项目的局部独立性。一维二分IRT由难度判别和猜测的三个模型和三个参数组成。项目响应解释基于项目特征曲线、测试特征曲线(TCC)和测试信息函数,并使用统计软件包STATA版本14进行分析。结果:3PL模型的选择是基于似然比检验的,似然比检验(χ2=133.62,P<0.0001)高于其他模型(χ2=130.41,<0.001)。伪猜测的参数估计值为0.02,表示猜测程度较轻,表示正确回答的概率最小。该研究的TCC显示,95%的随机选择的受访者得分在3.23到14之间。当难度和判别参数相等时,正确回答的中位概率为8.16。结论:IRT是对给定项目做出反应的估计概率。我们的研究表明,与较低水平相比,OHL-AQ更准确地测量较高水平的OHL。OHL-AQ量表是对OHL高水平和低水平的精确测量。
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