Insights reveal quality control improved data quality in 15 countries, suggesting careful consideration for cross-country comparisons.
The quality control measures implemented throughout the EQ-DAPHNIE project effectively addressed common issues such as bot responses, speeding, and missing data, resulting in generally high-quality and representative datasets. However, variability across countries underscores the need to account for quality indicators when using the data for norm-setting or cross-country comparisons.
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Sayah et al. (2025) studied this question.
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