Böckenholt Ulf
McGill University, Canada.
Psychometrika. 2006 Dec;71(4):615-629. doi: 10.1007/s11336-006-1598-5. Epub 2007 Jan 30.
Current psychometric models of choice behavior are strongly influenced by Thurstone's (1927, 1931) experimental and statistical work on measuring and scaling preferences. Aided by advances in computational techniques, choice models can now accommodate a wide range of different data types and sources of preference variability among respondents induced by such diverse factors as person-specific choice sets or different functional forms for the underlying utility representations. At the same time, these models are increasingly challenged by behavioral work demonstrating the prevalence of choice behavior that is not consistent with the underlying assumptions of these models. I discuss new modeling avenues that can account for such seemingly inconsistent choice behavior and conclude by emphasizing the interdisciplinary frontiers in the study of choice behavior and the resulting challenges for psychometricians.
当前的选择行为心理测量模型深受瑟斯顿(1927年、1931年)关于测量和缩放偏好的实验及统计工作的影响。在计算技术进步的辅助下,选择模型如今能够适应广泛的不同数据类型,以及由诸如特定个体的选择集或潜在效用表示的不同函数形式等多种因素所引发的受访者偏好变异性的各种来源。与此同时,这些模型正日益受到行为学研究的挑战,这些研究表明存在不符合这些模型基本假设的选择行为。我将探讨能够解释此类看似不一致的选择行为的新建模途径,并在结尾强调选择行为研究中的跨学科前沿领域以及给心理测量学家带来的挑战。