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ScholarOne - Insufficient Effort Responding and Adolescent Respondents: Measurement, Extent, and Prediction
preprintposted on 2023-10-05, 14:21 authored by Thomas KrauseThomas Krause, Susanne Vogl, Christine Sälzer
This paper addresses insufficient effort responding (IER), a significant issue in survey research affecting data quality. We focus on IER prediction through nonreactive measures and gauge its prevalence in a pupil population, leveraging a sizable online survey of adolescents. The analysis uncovers IER as a nonmarginal issue that varies considerably by gender, migration status, and school type. Utilizing Random Forest models, we evaluate nonreactive measures’ predictive power for IER, notably response time, intra-individual response variability, and Mahalanobis distance. The findings highlight the future research value of these measures, emphasizing the strong influence of response time. We also explore the relationship between predictors and IER and find that shorter response times and less response variability correspond to a greater likelihood of IER. This study illustrates the potential of nonreactive measures and advanced machine learning techniques for predicting IER and highlights the necessity for further research.
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- Higher Education Faculty 4-yr College
Lead author institutionUniversität Hohenheim
Ethics statementAll participants voluntarily took part in the survey. Informed consent was obtained from each participant prior to their involvement in the study. Measures were taken to ensure the privacy and anonymity of the participants. No personal identifiers were collected, and all responses are kept confidential. Participants were informed about the purpose of the study, its duration, and any potential risks or benefits associated with their participation. No compensation was provided to the participants. Data collected is stored securely and will only be used for the purposes of this research. Any publications or presentations resulting from this research will not include identifiable information.
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