Less unique variance than meets the eye: Overlap among traditional neuropsychological dimensions in schizophrenia
Less unique variance than meets the eye: Overlap among traditional neuropsychological dimensions in schizophrenia
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DOI：
10.1093/schbul/sbm092
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发表时间：
2008-05-01
影响因子：
6.6
通讯作者：
Gold, James M.
中科院分区：
文献类型：
--
作者：
Dickinson, Dwight;Gold, James M.
精神分裂症患者神经心理测试表现维度之间的重叠程度一直是长期争论的主题。这个问题已经采取了新的重要性，最近的重点是认知作为精神分裂症的治疗目标。大量的因素分析文献表明，维度在精神分裂症中是可分离的。然而，这些文献通常没有提供关于可分离维度是独立的、弱相关的还是强相关的信息。因子分析经常使用的方法（即，主成分分析与正交旋转），排除这种确定，和基于因子的域复合材料和基本措施之间的相关性已在这些研究中很少报道。目前的荟萃分析报告的“维度间”的相关性，为个人的神经心理学措施和认知领域的复合变量表明，认知变量在精神分裂症的相关性，平均而言，在一个“中等”水平的r = 0.37的个人措施，从不同的认知维度和r = 0.45的域复合材料。因为这些是平均双变量相关性，所以认知组合中单个测量与所有其他测量的多重相关性可能更高。0.80或更低的测量可靠性也意味着传统神经心理学测量方法之间具有更大的共性。简而言之，在传统的神经心理测试组合中，可靠的认知表现差异的数量受到了低估的限制，这些测试组合可以独立地自由变化。这种电池的能力，以揭示认知领域特定的治疗效果，精神分裂症可能比通常认为的要有限得多。
The magnitude of the overlap among dimensions of neuropsychological test performance in schizophrenia has been the subject of perennial controversy. This issue has taken on renewed importance with the recent focus on cognition as a treatment target in schizophrenia. A substantial body of factor analytic literature indicates that dimensions are separable in schizophrenia. However, this literature is generally uninformative as to whether the separable dimensions are independent, weakly correlated, or strongly correlated. Factor analyses have often used methods (ie, principal components analysis with orthogonal rotation) that preclude this determination, and correlations among factor-based domain composites and underlying measures have been reported infrequently in these studies. Current meta-analyses of reported "between-dimension" correlations for individual neuropsychological measures and for cognitive domain composite variables indicate that cognition variables in schizophrenia are correlated, on average, at a "medium" level of r = 0.37 for individual measures from different cognitive dimensions and r = 0.45 for domain composites. Because these are mean bivariate correlations, the multiple correlation of an individual measure with all the other measures in a cognitive battery is likely to be higher. Measure reliabilities of 0.80 or less also imply greater commonality among traditional neuropsychological measures. In short, there are underappreciated constraints on the amount of reliable cognitive performance variance in traditional neuropsychological test batteries that is free to vary independently. The ability of such batteries to reveal cognitive domain-specific treatment effects in schizophrenia may be much more limited than is generally assumed.