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千真万确?伪装对横交模型有效性的影响。

Nothing but the truth? Effects of faking on the validity of the crosswise model.

机构信息

Department of Experimental Psychology, University of Duesseldorf, Duesseldorf, Germany.

出版信息

PLoS One. 2021 Oct 29;16(10):e0258603. doi: 10.1371/journal.pone.0258603. eCollection 2021.

Abstract

In self-reports, socially desirable responding threatens the validity of prevalence estimates for sensitive personal attitudes and behaviors. Indirect questioning techniques such as the crosswise model attempt to control for the influence of social desirability bias. The crosswise model has repeatedly been found to provide more valid prevalence estimates than direct questions. We investigated whether crosswise model estimates are also less susceptible to deliberate faking than direct questions. To this end, we investigated the effect of "fake good" instructions on responses to direct and crosswise model questions. In a sample of 1,946 university students, 12-month prevalence estimates for a sensitive road traffic behavior were higher and thus presumably more valid in the crosswise model than in a direct question. Moreover, "fake good" instructions severely impaired the validity of the direct questioning estimates, whereas the crosswise model estimates were unaffected by deliberate faking. Participants also reported higher levels of perceived confidentiality and a lower perceived ease of faking in the crosswise model compared to direct questions. Our results corroborate previous studies finding the crosswise model to be an effective tool for counteracting the detrimental effects of positive self-presentation in surveys on sensitive issues.

摘要

在自我报告中,社会期望反应会威胁到敏感个人态度和行为的患病率估计的有效性。例如交叉模型等间接提问技术试图控制社会期望偏差的影响。交叉模型已被反复发现比直接问题提供更有效的患病率估计。我们研究了交叉模型估计是否也比直接问题更不容易受到蓄意伪造的影响。为此,我们研究了“伪造良好”指令对直接和交叉模型问题的影响。在一个由 1946 名大学生组成的样本中,对一种敏感的道路交通行为的 12 个月患病率估计值在交叉模型中比在直接问题中更高,因此推测更有效。此外,“伪造良好”指令严重损害了直接询问估计值的有效性,而交叉模型估计值不受蓄意伪造的影响。与直接问题相比,参与者还报告说,在交叉模型中他们感觉到更高的保密性和更低的伪造难度。我们的结果证实了先前的研究结果,即交叉模型是一种有效的工具,可以抵消在调查敏感问题时积极自我呈现的有害影响。

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