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Methods for the detection of carelessly invalid responses in survey data

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TLDR
Different perspectives are integrated into a review and assessment of current techniques, an introduction of new techniques, and a generation of recommendations for practical use to detect and remove Invalid data in self-report data collections.
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This article is published in Journal of Experimental Social Psychology.The article was published on 2016-09-01 and is currently open access. It has received 527 citations till now.

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Why Tourists Choose Airbnb: A Motivation-Based Segmentation Study:

TL;DR: In this paper, the authors investigate tourists' motivations for using Airbnb and find that the majority of tourists use the service for short-term stays. But they do not consider the long-term use of the service.
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Are Manipulation Checks Necessary

TL;DR: The use of manipulation checks in mediational analyses does not rule out confounding variables, as any unmeasured variables that correlate with the manipulation check may still drive the relationship.
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Are Attention Check Questions a Threat to Scale Validity

TL;DR: This paper examined whether common attention checks (instructedresponse items and instructional manipulation checks) impact responses to a well-validated management scale. But they found no evidence that they affect scale validity, both in reported scale means and tests of measurement invariance.
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Too Fast, too Straight, too Weird: Non-Reactive Indicators for Meaningless Data in Internet Surveys

TL;DR: It is suggested that careless responses are most reliably identified by questionnaire completion time, but the tested indicators do not allow for detecting intended faking.
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Measuring the Prevalence of Problematic Respondent Behaviors among MTurk, Campus, and Community Participants.

TL;DR: Evidence is reported that suggests that participants from all samples engage in problematic respondent behaviors with comparable rates, and methodological controls must be refined to better identify and diminish the frequency of participant engagement in problematic respondents behaviors.
References
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Journal ArticleDOI

Identifying careless responses in survey data.

TL;DR: Recommendations include using identified rather than anonymous responses, incorporating instructed response items before data collection, as well as computing consistency indices and multivariate outlier analysis to ensure high-quality data.
Posted Content

Instructional Manipulation Checks: Detecting Satisficing to Increase Statistical Power

TL;DR: This paper proposed Instructional manipulation check (IMC), a new tool for detecting participants who are not following instructions and demonstrated how the inclusion of an IMC can increase statistical power and reliability of a dataset.
Journal ArticleDOI

Instructional manipulation checks: Detecting satisficing to increase statistical power

TL;DR: This paper proposed Instructional manipulation check (IMC), a new tool for detecting participants who are not following instructions and demonstrated how the inclusion of an IMC can increase statistical power and reliability of a dataset.
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