The preferred outcomes of children with speech, language and communication needs and their parents
The preferred outcomes of children with speech, language and communication needs and their parents
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有言语、语言和沟通需求的儿童及其父母的首选结果
DOI：
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发表时间：
2012
期刊：
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通讯作者：
G. Lindsay
中科院分区：
文献类型：
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作者：
S. Roulstone;J. Coad;A. Ayre;H. Hambly;G. Lindsay
筛选并检索讨论潜在相关测量工具的文章。通过与作者和出版商的联系，HH对这些文章中的测量工具进行了评估。对于每项措施，获得以下信息：评估的概念结构，评估的维度，回答格式，回答者（即，父母或子女报告）、年龄范围和工具的心理测量学特性，包括可靠性（内部一致性和重测信度）、有效性和变化敏感性。图5.1解释了如何评估这些心理测量特性。内部一致性通过计算Cronbach's alpha来评估，以调查一组项目是否测量单个潜在结构。乔治和Mallery（2003）建议Cronbach α> 0.9为优秀，> 0.8为良好，> 0.7为可接受，> 0.6为差，> 0.5为不可接受。重测信度通常通过计算类内相关（ICC）来评估，并调查测量随时间的稳定性。ICC >.7被认为是可接受的。有效性可以通过不同的方式进行评估，例如内容和表面有效性可以通过与受访者或专家小组的访谈来探索，结构或标准有效性可以通过将分数与旨在评估相同基础结构的其他措施相关联来检查，或者通过探索理论预测与特定变量的关系。对变化的敏感性是另一个重要的心理测量学属性，指的是测量检测结构水平中有意义变化的能力。只有在研究中使用了一项措施，并且由于干预或在一段时间内预计会发生变化时，才能对此进行探讨。图5.1评估测量的心理测量特性
s were screened and articles discussing a potentially relevant measurement tool were retrieved. From these articles and through contact with authors and publishers, the measurement tools were assessed by HH. For each measure the following information was obtained: conceptual construct assessed, dimensions assessed, response format, respondent (i.e., parent or child report), age range, and the psychometric properties of the tools including reliability (internal consistency and test-retest reliability), validity and sensitivity to change. Figure 5.1 explains how these psychometric properties are assessed. Internal consistency is assessed by calculating Cronbach’s alpha to investigate whether a set of items measures a single, latent construct. George and Mallery (2003) suggest a Cronbach’s alpha >.9 is excellent, >.8 is good, >.7 is acceptable, >.6 is poor, >.5 is unacceptable. Test-retest reliability is usually assessed through calculating Intra-Class Correlations (ICCs) and investigates the stability of a measure over time. An ICC >.7 is considered acceptable. Validity can be assessed in different ways, for example content and face validity might be explored through interviews with respondents or a panel of experts and construct or criterion validity might be examined through correlating scores with other measures that aim to assess the same underlying construct or through exploring theoretically predicted relationships with specific variables. Sensitivity to change is another important psychometric property that refers to the ability of a measure to detect meaningful changes in the levels of a construct. This can only be explored when a measure has been used in a study where change is expected either due to intervention or over a period of time. Figure 5.1 Assessing the psychometric properties of measures