Stephanie Wermelinger, Marco Bleiker, Moritz M. Daum
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引用次数: 0
Abstract
Children's fuzziness leads to increased variance in the data, data loss, and high dropout rates in developmental studies. This study investigated the importance of 20 factors on the person (child, caregiver, experimenter) and situation (task, method, time, and date) level for the data quality as indicated via the number of valid trials in 11 studies with N = 727 infants and children (aged 5 months to 8 years). A random forest model suggests that the duration of the study, the children's age, and the age, gender, and experience of the experimenters are the most important predictors in explaining differences in children's data quality in this sample of children. Other researchers may consider shortening studies and ensuring extensive training for experimenters to help increase the probability of data retention.
期刊介绍：
Infant and Child Development publishes high quality empirical, theoretical and methodological papers addressing psychological development from the antenatal period through to adolescence. The journal brings together research on: - social and emotional development - perceptual and motor development - cognitive development - language development atypical development (including conduct problems, anxiety and depressive conditions, language impairments, autistic spectrum disorders, and attention-deficit/hyperactivity disorders)
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