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Stephanie Wermelinger; Marco Bleiker; Moritz M. Daum – Infant and Child Development, 2025
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…
Descriptors: Infants, Young Children, Research Problems, Factor Analysis
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Goldberg, Wendy A.; Keller, Meret A. – Infant and Child Development, 2007
Emergent themes from this special issue on parent-child co-sleeping are featured in this concluding article. Each of the pieces in this collection addressed one or more of the following themes: methodologies for studying parent-infant co-sleeping, physical and social characteristics of the child's sleep environment, associations between sleep…
Descriptors: Social Characteristics, Sleep, Infants, Child Care