ArticleInternational journal of population data science2023
Data Resource Profile: The Age-It Family Demography Survey (Age-It FDS).
Article in International journal of population data science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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13 authors.
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Abstract
Introduction: Italy has recently witnessed profound transformations in family dynamics, including delayed union formation, rising cohabitation, increasing relationship instability, and postponed parenthood. These shifts have occurred alongside persistently Methods: The Age-It FDS is a cross-sectional, quota-controlled survey of 9,004 individuals aged 18-45 residing in Italy. Sampling followed a stratified design with quotas based on the intersection of age groups, sex, and macro-area (at NUTS-1 level), as well as independent quotas based on municipality size, educational attainment, and citizenship. Data were collected between May and July 2025 using a mixed-mode design (CAPI, CATI, CAWI), after extensive questionnaire design, piloting, and interviewer training. Results: The dataset contains detailed union and childbearing histories, information on partners' characteristics across successive unions, a family complexity module, online dating, and an extensive module on MAR. A key innovation is the inclusion of narratives of the future measures, which record expectations regarding economic (in)security, employment, housing, environmental risks, political stability, and social cohesion. Data quality is supported by built-in validation routines in the computer-assisted interviewing platform (including range and consistency checks), dedicated try-out phases, and ex-post validation, including recalls and examination of non-response patterns. Conclusion: The Age-It FDS provides an unprecedented resource for studying contemporary fertility and family dynamics in Italy. Data are stored at the Department of Statistics, Computer Science, Applications "G. Parenti" (DiSIA), University of Florence, available upon request to the corresponding author for non-commercial, scientific purposes.
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