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Using Mokken scaling techniques to explore carelessness in survey research.运用莫肯定距尺度法探究调查研究中的粗心大意。
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A change-point analysis procedure based on weighted residuals to detect back random responding.基于加权残差的变点分析程序,用于检测回溯随机反应。
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漫不经心反应检测再探:直接和间接测量的准确性。

Careless responding detection revisited: Accuracy of direct and indirect measures.

机构信息

Military Academy at ETH Zurich, Birmensdorf, Switzerland.

Leuphana University Lüneburg, Lüneburg, Germany.

出版信息

Behav Res Methods. 2024 Dec;56(8):8422-8449. doi: 10.3758/s13428-024-02484-3. Epub 2024 Aug 15.

DOI:10.3758/s13428-024-02484-3
PMID:39147948
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11525390/
Abstract

To screen for careless responding, researchers have a choice between several direct measures (i.e., bogus items, requiring the respondent to choose a specific answer) and indirect measures (i.e., unobtrusive post hoc indices). Given the dearth of research in the area, we examined how well direct and indirect indices perform relative to each other. In five experimental studies, we investigated whether the detection rates of the measures are affected by contextual factors: severity of the careless response pattern, type of item keying, and type of item presentation. We fully controlled the information environment by experimentally inducing careless response sets under a variety of contextual conditions. In Studies 1 and 2, participants rated the personality of an actor that presented himself in a 5-min-long videotaped speech. In Studies 3, 4, and 5, participants had to rate their own personality across two measurements. With the exception of maximum longstring, intra-individual response variability, and individual contribution to model misfit, all examined indirect indices performed better than chance in most of the examined conditions. Moreover, indirect indices had detection rates as good as and, in many cases, better than the detection rates of direct measures. We therefore encourage researchers to use indirect indices, especially within-person consistency indices, instead of direct measures.

摘要

为了筛选出粗心作答,研究人员有几种直接的测量方法(例如,编造项目,要求被试选择特定的答案)和间接的测量方法(例如,不显眼的事后指标)可供选择。鉴于该领域的研究匮乏,我们考察了直接和间接指标相互之间的表现。在五项实验研究中,我们研究了这些措施的检测率是否受到上下文因素的影响:粗心作答模式的严重程度、项目键控的类型以及项目呈现的类型。我们通过在各种上下文条件下进行实验诱导粗心作答来完全控制信息环境。在研究 1 和 2 中,参与者对一个在长达 5 分钟的录像演讲中表现自己的演员的人格进行了评价。在研究 3、4 和 5 中,参与者必须在两次测量中评价自己的人格。除了最大长字符串、个体内反应变异性和对模型拟合不佳的个体贡献外,大多数检查条件下,所有被检查的间接指标的表现都优于随机水平。此外,间接指标的检测率与直接指标一样好,在许多情况下甚至更好。因此,我们鼓励研究人员使用间接指标,尤其是个体内一致性指标,而不是直接指标。