Ross David A, Richler Jennifer J, Gauthier Isabel
Department of Psychology, Vanderbilt University, PMB 407817, 2301 Vanderbilt Place, Nashville, TN, 37240-7817, USA,
Behav Res Methods. 2015 Sep;47(3):736-43. doi: 10.3758/s13428-014-0497-4.
There is growing interest in the study of individual differences in face recognition, including one of its hallmarks, holistic processing, which can be defined as a failure of selective attention to parts. These efforts demand that researchers be aware of, and try to maximize, the reliability of their measurements. Here we report on the reliability of measurements using the composite task (complete design), a measure of holistic processing that has been shown to have relatively good validity. Several studies have used the composite task to investigate individual differences, yet only one study has discussed its reliability. We investigate the reliability of composite-task measurements in eight data sets from five different samples of subjects. In general, we found reliability to be fairly low, but there was substantial variability across experiments. Researchers should keep in mind that reliability is a property of measurements, not of a task, and think about the ways in which measurements in a particular task may be improved before embarking on individual differences research.
人脸识别中个体差异的研究越来越受到关注,其中包括其一个标志性特征——整体加工,整体加工可定义为对局部选择性注意的失败。这些研究要求研究人员意识到并尽量提高测量的可靠性。在此,我们报告使用合成任务(完整设计)进行测量的可靠性,合成任务是一种整体加工测量方法,已被证明具有相对较好的效度。几项研究使用合成任务来调查个体差异,但只有一项研究讨论了其可靠性。我们在来自五个不同样本的八个数据集中调查了合成任务测量的可靠性。总体而言,我们发现可靠性相当低,但不同实验之间存在很大差异。研究人员应牢记,可靠性是测量的属性,而非任务的属性,并在开展个体差异研究之前思考如何改进特定任务中的测量方法。