Department of Psychology, University of Colorado at Colorado Springs, Colorado Springs, CO, USA.
NeuroRehabilitation. 2013;32(2):253-65. doi: 10.3233/NRE-130842.
Telephone cognitive batteries are useful for large-scale screening and epidemiological studies, but their brevity and lack of content depth may cause psychometric limitations that hinder their utility.
The current study addressed some of these limitations by rescaling the Brief Test of Adult Cognition by Telephone (BTACT; Tun & Lachman, 2006) using modern psychometric methods.
Archival data were obtained from a national sample of 4,212 28 to 84-year-old volunteers in the National Survey of Midlife Development in the United States (Ryff et al., 2007) Cognitive Project (Ryff & Lachman, 2007). We fit a bi-factor model to a combination of item-level, subscale-level, and scale-level data.
The best fitting model contained a general factor and secondary factors capturing test-specific method effects or residual correlations for Number Series, Red/Green Test, and the Rey Auditory Verbal Learning Test. Factor scores generated from this model were compared with conventional BTACT scores. Important score differences (i.e., >0.3 standard deviation units) were found in 28% of the sample. The bi-factor scores demonstrated slightly superior validity than conventional BTACT scores when judged against a number of clinical and demographic criterion variables.
Modern psychometric approaches to scoring the BTACT have the benefit of linear scaling and a modest criterion validity advantage.
电话认知测试在大规模筛查和流行病学研究中非常有用，但由于其简短且缺乏内容深度，可能会导致心理计量学限制，从而影响其效用。
本研究通过使用现代心理计量学方法对电话成人认知简短测试（BTACT；Tun & Lachman，2006）进行重新定标，以解决这些限制。
从美国国家中年发展调查（Ryff 等人，2007）认知项目（Ryff & Lachman，2007）的全国性 28 至 84 岁志愿者样本中获取档案数据。我们对项目水平、分量表水平和量表水平数据的组合拟合双因素模型。
拟合效果最佳的模型包含一个一般因素和两个次要因素，分别捕捉特定测试的方法效应或 Number Series、Red/Green Test 和 Rey 听觉词语学习测试的剩余相关性。从该模型生成的因子得分与传统的 BTACT 得分进行比较。在 28%的样本中发现了重要的得分差异（即>0.3 个标准差单位）。与多项临床和人口统计学标准变量进行判断时，双因素得分比传统的 BTACT 得分具有略微优越的有效性。
BTACT 的现代心理计量评分方法具有线性定标和适度的标准有效性优势。
