Survey Methodology and Nonresponse
Open access
Peer reviewed
Abstract
Abstract
Careless responding is a concern in online surveys and poses a threat to data quality in intensive longitudinal research, which often relies on repeated online surveys. Despite its potential impact, little research has examined careless responding in adolescent daily diary research. This study investigated the prevalence, trends, and baseline correlates of careless responding using two daily attention check (ACQ) questions and response time data in a 21-day daily diary study of 311 youths aged 12 to 16. Average compliance (75.1%) and careless responding rates (3.4% to 18.1%) were comparable to those reported in recent meta-analyses with adult samples, supporting the feasibility of collecting 21-day daily diaries from adolescents. Response time screening using the common 2-second-per-item rule was less sensitive than ACQs in detecting careless responding in adolescent daily diaries. Participants failed the second ACQ more frequently than the first, highlighting both the value of multiple ACQs per assessment and the potential benefit of shorter surveys. Younger adolescents and those with higher state anger, more neighborhood problems, lower anger control, and poorer emotion regulation were more likely to fail ACQs. Sensitivity analyses using various subsamples after removing careless responding cases suggested that longitudinal analysis results may be inflated when careless responding is not addressed. Our findings underscore the importance of incorporating attention check and response time measures and conducting sensitivity analyses to examine the robustness of statistical conclusions in intensive longitudinal research with youth.
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@article{Wang2026Careless,
title = {Careless Responding in Daily Diary Research: Detection and Impact on Intensive Longitudinal Data Analyses},
author = {Lijuan Wang and Tiffany Yip and Yuan Fang and R. Li and Kyle Lorenzo and Irene J. K. Park and Kristin Valentino and Mario Cruz‐Gonzalez and Jenny Zhen‐Duan and Kiara Álvarez and Patrick Shrout and Margarita Alegría},
journal = {Journal of Behavioral Data Science},
year = {2026},
doi = {10.35566/jbds/wang2026},
url = {https://doi.org/10.35566/jbds/wang2026}
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