Van Ness Peter H, Towle Virginia R, Juthani-Mehta Manisha
Yale University School of Medicine, Department of Internal Medicine, Program on Aging, 300 George Street, Suite 775, New Haven, Connecticut 06511, USA.
J Aging Health. 2008 Mar;20(2):183-97. doi: 10.1177/0898264307310448. Epub 2007 Dec 18.
The authors recommend confidence intervals as measures of precision for reliability coefficients, regression modeling as supplements for such omnibus reliability statistics, and unreliability detection as a goal of reliability testing distinct from reliability inference.
Illustrative reliability analyses are conducted on measures selected from a study of clinical features associated with urinary tract infection in older nursing home residents.
Standard methods for reliability testing (e.g., kappa coefficients) are often inappropriate for small samples, and exact methods or descriptive reliability statistics are viable alternatives.
Supplementation of omnibus statistics by loglinear regression modeling is especially appropriate for aging research because it facilitates tests of marginal homogeneity and comparisons of reliability results for relatively young and old subgroups. Latent class regression analysis is useful for older samples because multifactorial health conditions are often measured in multiple ways and assessment of their reliability can be integrated, granting certain assumptions, with validity assessment.
作者推荐使用置信区间作为信度系数精度的度量方法,使用回归建模作为此类综合信度统计量的补充,并且将不可靠性检测作为与信度推断不同的信度测试目标。
对从一项关于老年疗养院居民尿路感染相关临床特征研究中选取的测量指标进行说明性信度分析。
信度测试的标准方法(如kappa系数)通常不适用于小样本,精确方法或描述性信度统计量是可行的替代方法。
通过对数线性回归建模对综合统计量进行补充,对于老龄化研究尤为合适,因为它有助于进行边际同质性检验以及比较相对年轻和老年亚组的信度结果。潜在类别回归分析对老年样本很有用,因为多因素健康状况通常通过多种方式进行测量,并且在满足某些假设的情况下,可以将其信度评估与效度评估相结合。