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调查满意度会夸大信度和效度测量结果:对大学生样本和亚马逊土耳其机器人样本的实验比较

Survey Satisficing Inflates Reliability and Validity Measures: An Experimental Comparison of College and Amazon Mechanical Turk Samples.

作者信息

Hamby Tyler, Taylor Wyn

机构信息

University of Texas at Arlington, TX, USA.

出版信息

Educ Psychol Meas. 2016 Dec;76(6):912-932. doi: 10.1177/0013164415627349. Epub 2016 Jan 23.

DOI:10.1177/0013164415627349
PMID:29795893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5965608/
Abstract

This study examined the predictors and psychometric outcomes of survey satisficing, wherein respondents provide quick, "good enough" answers (satisficing) rather than carefully considered answers (optimizing). We administered surveys to university students and respondents-half of whom held college degrees-from a for-pay survey website, and we used an experimental method to randomly assign the participants to survey formats, which presumably differed in task difficulty. Based on satisficing theory, we predicted that ability, motivation, and task difficulty would predict satisficing behavior and that satisficing would artificially inflate internal consistency reliability and both convergent and discriminant validity correlations. Indeed, results indicated effects for task difficulty and motivation in predicting survey satisficing, and satisficing in the first part of the study was associated with improved internal consistency reliability and convergent validity but also worse discriminant validity in the second part of the study. Implications for research designs and improvements are discussed.

摘要

本研究考察了调查中满足性回答(即受访者提供快速的“足够好”的答案(满足性回答)而非经过仔细思考的答案(优化性回答))的预测因素和心理测量结果。我们对大学生和来自一个付费调查网站的受访者(其中一半拥有大学学位)进行了调查,并采用实验方法将参与者随机分配到不同的调查形式中,这些调查形式的任务难度可能有所不同。基于满足性理论,我们预测能力、动机和任务难度会预测满足性回答行为,并且满足性回答会人为地提高内部一致性信度以及收敛效度和区分效度的相关性。事实上,结果表明任务难度和动机对预测调查中的满足性回答有影响,并且在研究的第一部分,满足性回答与内部一致性信度的提高和收敛效度相关,但在研究的第二部分,区分效度更差。本文还讨论了对研究设计和改进的启示。