Rung Jillian M, Argyle Thomas M, Siri Jodi L, Madden Gregory J
Utah State University, United States.
Utah State University, United States.
Behav Processes. 2018 Jun;151:119-125. doi: 10.1016/j.beproc.2018.03.022. Epub 2018 Mar 28.
A variety of delay discounting tasks are widely used in human studies designed to quantify the degree to which individuals discount the value of delayed rewards. It is currently unknown which task(s) yields the largest proportion of valid and systematic data using standard criteria (Johnson & Bickel, 2008). The goal of this study was to compare three delay-discounting tasks on task duration and amount of valid and systematic data produced. In Experiment 1, 180 college students completed one of three tasks online (fixed alternatives, titrating, or visual analogue scale [VAS]). Invalid and nonsystematic data, identified using standard criteria, were most prevalent with the VAS (47.3% of participants). The other tasks produced more (and similar amounts of) valid and systematic data, but required more time to complete than the VAS. Viewing systematic data as more important than completion times, Experiment 2 (n = 153 college students) sought to reduce the amount of invalid datasets in the fixed-alternatives task, and compare amounts of nonsystematic data with the titrating task. Completion times were superior in the titrating task, which produced modestly more systematic data than the fixed-alternatives task. Causes of invalid and nonsystematic data are discussed, as are methods for reducing data exclusion.
在旨在量化个体对延迟奖励价值折扣程度的人体研究中，广泛使用了多种延迟折扣任务。目前尚不清楚使用标准标准（约翰逊和比克尔，2008年）哪种任务能产生最大比例的有效且系统的数据。本研究的目的是比较三种延迟折扣任务在任务持续时间以及所产生的有效且系统的数据量方面的差异。在实验1中，180名大学生在线完成了三种任务之一（固定选项、滴定法或视觉模拟量表[VAS]）。使用标准标准识别出的无效和非系统数据在VAS任务中最为普遍（占参与者的47.3%）。其他任务产生了更多（且数量相似）的有效且系统的数据，但比VAS任务需要更多时间来完成。由于认为系统数据比完成时间更重要，实验2（n = 153名大学生）试图减少固定选项任务中无效数据集的数量，并将非系统数据量与滴定法任务进行比较。滴定法任务的完成时间更优，该任务产生的系统数据略多于固定选项任务。本文讨论了无效和非系统数据的成因，以及减少数据排除的方法。
