Department of Biostatistics, Institute of Psychology, Psychiatry and Neuroscience, Kings College London, London, United Kingdom.
Psychology and Language Sciences, University College London, London, United Kingdom.
PLoS One. 2019 Mar 7;14(3):e0213492. doi: 10.1371/journal.pone.0213492. eCollection 2019.
Centile curves and standard scores are common in epidemiological research. However, standardised norms and centile growth curves for language disorder that reflect the entire UK local school population do not exist.
Scores on six language indices assessing receptive and expressive functioning of children were obtained from the SCALES population survey. Monolingual English speaking participants were aged between five and nine years. Children who attended special schools at study intake, or who were learning English as an additional language were excluded. We constructed language norms using the LMS method of standardisation which allows for skewed measurements. We made use of probability weights that were produced from a two-step logistic model. Distributions of estimated standard scores from an intensively assessed sub-population and from the full population were contrasted to demonstrate the role of weights.
Non-overlapping centile curves and standardised scores at each age were obtained for the six language indices. The use of weights was essential at retrieving the target distribution of the scores. An online calculator that estimates standardised scores for the measures was constructed and made freely available.
The findings highlight the usefulness and flexibility of the LMS method at dealing with the standardisation of linguistic and educational measures that are sufficiently continuous. The paper adds to the existing literature by providing population norms for a number of language tests that were calculated from the same group of individuals.
百分位曲线和标准分数在流行病学研究中很常见。然而,反映整个英国当地学校人群的语言障碍的标准化规范和百分位增长曲线并不存在。
从 SCALES 人群调查中获得了六个评估儿童接受性和表达性语言功能的语言指数的分数。单语英语使用者的年龄在五到九岁之间。在研究开始时就读于特殊学校或正在学习英语作为附加语言的儿童被排除在外。我们使用 LMS 标准化方法构建语言规范,该方法允许对偏斜测量进行标准化。我们利用从两步逻辑模型产生的概率权重。从密集评估的子群体和整个群体中估计的标准分数分布进行对比,以展示权重的作用。
对于六个语言指数,在每个年龄都获得了非重叠的百分位曲线和标准化分数。在检索分数的目标分布时,使用权重是必不可少的。构建了一个在线计算器,可以估算这些措施的标准化分数,并免费提供。
研究结果强调了 LMS 方法在处理足够连续的语言和教育措施的标准化方面的有用性和灵活性。本文通过从同一组个体中计算出的一些语言测试的群体规范,为现有文献增添了内容。