AI Article Synopsis

  • The text argues for increased focus on understanding only children in demographic studies, noting a lack of scholarly attention to this group.
  • It outlines three main aims: defining only children and establishing a framework for research; cautioning against the variability of prevalence estimates based on when data is collected in childhood; and highlighting how different definitions of only children affect both group size and characteristics, particularly due to survey designs.
  • The authors stress the importance of carefully selecting measures for research on only children to ensure accurate results, given the limitations of existing datasets.

Article Abstract

Despite increasing interest in the circumstances and outcomes of only children in the demographic literature, the conceptualization of this group has received limited scholarly attention. This research note argues for greater engagement by demographers and social scientists in the conceptualization and identification of only children by addressing three aims. First, we outline potential definitions of only children, present a framework to guide researchers' decisions, and evaluate whether only children can be reliably identified using the British birth cohort studies. Second, we show that the prevalence estimates are contingent on the timing of measurement in childhood, indicating the need for caution when deriving only-child status from cross-sectional household grid data. Third, we demonstrate that both the size and the characteristics of the only-child group may differ across definitions, highlighting that the accurate operationalization of some definitions is particularly restricted by survey designs that prioritize mothers for data collection on children and families. We argue that researchers interested in sole children's outcomes must choose the most appropriate measure for a given research question and, given that many datasets limit how accurately any indicator of only children can capture the chosen definition, reflect on how the operationalization of their measure might affect the results.

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Source
http://dx.doi.org/10.1215/00703370-11123969DOI Listing

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