Best practice recommendations for data screening

By J. DeSimone, P. D. Harms, Alice J. DeSimone. 2015

636 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6b81a15da722cfe953ae9afb2f0ee0bb837b2204

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Citations in the corpus

Too Fast, too Straight, too Weird: Non-Reactive Indicators for Meaningless Data in Internet Surveys (2019, methodology): “Study 4 includes either the easier IMC variant, or bogus items like “I am currently filling out a questionnaire” (Hargittai, 2009; Meade & Craig, 2012), or instructed response items like “please select «fully disagree» in this line” (DeSimone et al., 2015).”
How can SMEs successfully navigate VUCA environment: The role of agility in the digital transformation era (2022, background): “In order to check for biases related to insufficient effort responses (IER) (Costa and McCrae, 2008; DeSimone et al., 2015; Huang et al., 2012) we looked at the presence of longstrings (sequences of responses in the same category by an individual).”
Growing a growth mindset: characterizing how and why undergraduate students’ mindsets change (2020, background): “We screened out participants who responded to the survey questions with insufficient effort (DeSimone, Harms, & DeSimone, 2015).”
Careless responding in questionnaire measures: Detection, impact, and remedies (2020, methodology): “In the case of the longstring, the number of invariant responses (i.e., the length of the strings) over a series of consecutive items is counted (DeSimone et al., 2015).”
Dirty Data: The Effects of Screening Respondents Who Provide Low-Quality Data in Survey Research (2017, methodology): “For example, the fact that all ACST items were positively scored mitigates the utility of the longstring screen (see, DeSimone et al., 2015).”
When does proactivity have a cost? Motivation at work moderates the effects of proactive work behavior on employee job strain (2017, background): “Mahalanobis D is “best suited for the identification of random and extreme response styles, as these tendencies are associated with increased response variation when compared with acquiescent or consistent responders” (DeSimone et al., 2015, p. 178).”
Systems Perspective of Amazon Mechanical Turk for Organizational Research: Review and Recommendations (2017, methodology): “Past research has questioned the validity of using a single attention check to detect inattention (Chandler et al., 2013; DeSimone et al., 2015; Harms and DeSimone, 2015).”
An Environmental Perspective on Clothing Consumption: Consumer Segments and Their Behavioral Patterns (2017, background): “, “I gave this study enough attention”) [41,42].”
Data quality of platforms and panels for online behavioral research (2021, neutral): “…for data collection, there are a number of recommendations for enhancing response validity that should be considered, such as via the use of standardized reporting checklists (for comprehensive reviews of such recommendations see Cheung et al., 2017; DeSimone et al., 2015; Keith et al., 2017).”
Response Speed and Response Consistency as Mutually Validating Indicators of Data Quality in Online Samples (2017, background): “This screen can be thought of as an extreme version of a semantic data screen (DeSimone et al., 2015) by operationalizing consistency across items which are identical rather than merely similar in content.”