Measurement of the quality of mother-infant feeding interactions across the first year: Reliability and stability of the parent-child early relational assessment.

Roseanne Clark,Roger L Brown,K. Pridham

Published 2025 in Infant Behavior and Development

ABSTRACT

This study examines the psychometric properties of the Parent-Child Early Relational Assessment (PCERA) in the context of mother-infant feeding interaction. Utilizing a longitudinal design, data were collected from 114 mother-infant dyads, including healthy full-term infants and those born prematurely with diagnosed respiratory disease, one group with chronic respiratory disease (Bronchopulmonary Dysplasia) and the second group with acute respiratory disease (Respiratory Distress Syndrome). Observational data were collected at 1, 4, 8, and 12 months post-term age, focusing on parental behavior, infant variables, and dyadic interactions during feeding. Confirmatory factor analysis was employed to assess the congeneric structure of the PCERA across three domains: parental, infant, and dyadic. Results indicated support for the congeneric model in all domains, demonstrating that each factor measured a single common latent variable despite variations in item loadings and error terms. Reliability analysis using Cronbach alpha and McDonald's omega coefficients revealed high internal consistency for all eight PCERA factors, indicative of robust measurement properties (Table 3). Further examination of factorial invariance across four time periods (1, 4, 8, and 12 months) demonstrated consistent measurement properties of the PCERA factors throughout the infant's first year of life. This finding suggests stability and reliability in measuring the underlying constructs of mother-infant feeding interaction over time. The study underscores the utility of the PCERA as an observational tool for assessing various dimensions of parent-child interaction during feeding. Findings support its application in diverse settings, including the study of infants with complex medical conditions, such as prematurity and respiratory disease. Additionally, the study highlights the importance of examining parent and infant characteristics as predictors of feeding interaction quality, aiming to identify dyads at risk of poorer interaction outcomes and inform clinical interventions.

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