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

机译:满意度调查夸大了可靠性和有效性的衡量标准:大学和亚马逊机械特克样品的实验比较

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摘要

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 respondentshalf of whom held college degreesfrom 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.
机译:这项研究检查了调查满意度的预测因素和心理测量结果,其中受访者提供了快速,足够好的答案(满意度),而不是经过仔细考虑的答案(优化)。我们通过有薪调查网站对大学生和一半拥有大学学位的受访者进行了调查,并使用一种实验方法将参与者随机分配给调查形式,这在任务难度上可能有所不同。基于满意度理论,我们预测能力,动机和任务难度将预测满意度行为,而满意度将人为地提高内部一致性的可靠性以及收敛性和区分性效度的相关性。确实,结果表明在预测调查满意度时,任务难度和动机会受到影响,并且在研究的第一部分中,满意度与内部一致性信度和收敛效度的提高有关,而在研究的第二部分中,判别效度差。讨论了对研究设计和改进的意义。

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