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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
Peer reviewed Peer reviewed
Wachs, Theodore D. – Child Development, 1987
This study of the stability of parent behaviors toward toddlers over a 3-week period used both aggregated and nonaggregated data. Comparison of stability correlations indicated higher stabilities for aggregated scores, with the level of stability increasing as scores from additional single sessions were aggregated. (PCB)
Descriptors: Data Analysis, Infants, Parent Child Relationship, Parents
Peer reviewed Peer reviewed
Elias, Gordon; And Others – International Journal of Behavioral Development, 1984
Examines difficulties associated with the use of conversational features in the analysis of mother-infant vocalization episodes. Observations of six mother-infant dyads revealed difficulties involving (1) pooling of data; (2) the unit of analysis; and (3) selection of appropriate "expected" values for dyadic parameters used in tests of…
Descriptors: Data Analysis, Foreign Countries, Infants, Interaction Process Analysis
Phatak, Pramila; And Others – 1973
This study reports various aspects of the analyses carried out on the longitudinal data reported in a previous study (PS 007 345) for determining the general growth patterns and growth velocity of mental and motor development. Preliminary analyses focused on the selection of the growth curve, its evaluation in the 208 individual cases, and the…
Descriptors: Charts, Classification, Cognitive Development, Comparative Analysis
Townes-Rosenwein, Linda – 1979
This paper discusses a longitudinal, exploratory study of developmental dimensions related to object permanence theory and explains how multidimensional scaling techniques can be used to identify developmental dimensions. Eighty infants, randomly assigned to one of four experimental groups and one of four counterbalanced orders of stimuli, were…
Descriptors: Behavior Development, Data Analysis, Infants, Multidimensional Scaling