Abstract

Two of the most widely used self-report measures of impulsivity are the UPPS-P Impulsive Behavior Scale and its shortened version, the SUPPS-P, which currently are limited by their inability to detect careless and/or random responding. The present study develops and cross-validates an inconsistency scale for use with the UPPS-P and SUPPS-P in order to accurately screen for data quality and better detect invalid responding. A total of 443 participants were recruited from Amazon’s MTurk online data collection service to serve as the derivation sample and 231 undergraduates were recruited to serve as the cross-validation sample. The inconsistency scale demonstrated good classification accuracy in differentiating between genuine and random protocols and moderated the relationships between the UPPS-P/SUPPS-P and a criterion measure of impulsivity, the Barratt Impulsiveness Scale-11 (BIS-11). Thus, the inconsistency scale shows promise as an indicator of variable response inconsistency for use with both the UPPS-P and SUPPS-P in community and undergraduate research samples.

摘要

两种最广泛使用的冲动性自我报告测量是 UPPS-P 冲动行为量表及其缩短版本，SUPPS-P，目前由于无法检测粗心和/或随机反应而受到限制。本研究开发并交叉验证了与 UPPS-P 和 SUPPS-P 一起使用的不一致量表，以便准确筛选数据质量并更好地检测无效响应。总共从亚马逊的 MTurk 在线数据收集服务中招募了 443 名参与者作为推导样本，并招募了 231 名本科生作为交叉验证样本。不一致量表在区分真实协议和随机协议方面表现出良好的分类准确性，并调节了 UPPS-P/SUPPS-P 与冲动性标准度量之间的关系，Barratt 冲动量表-11 (BIS-11)。因此，在社区和本科研究样本中，不一致量表有望作为可变响应不一致的指标，用于 UPPS-P 和 SUPPS-P。