Children of the 2020s Longitudinal Study in England
Contents
Details
Details
Summary
Children of the 2020s is a longitudinal study focusing on early childhood which tracks a cohort of children who were born in 2021.
Description
Children of the 2020s (COT20s), is a Department for Education (DfE) funded study focusing on early childhood. It is following a random probability sample of 8,500 children, starting from the age of 9 months in 2022, with plans to conduct annual data collection until the age of 5 years. The study gathers evidence via questionnaires about parents/carers and their children’s background, behaviours and experiences. The study will build up statistical evidence to enable varied analyses and intends to improve our understanding of factors associated with variations in intermediate and longer term learning and wellbeing outcomes for different groups of children. The sample for the Children of the 2020s study was selected from HMRC Child Benefit records for all registered births between September and November 2021. The sample was designed to boost the sample in the most deprived quintile of areas, to ensure a large enough sub-sample for analysis of families experiencing economic deprivation. The over-sampling was based on the aggregated Income Deprivation Affecting Children Index (IDACI) scores for lower super output areas (LSOAs). Wave 1 consisted of a face-to-face quantitative interview with the sampled children’s primary caregiver, defined as the parental figure who spent most time caring for the child, and an online survey with the non-primary caregiver, for which the child’s other parental figure or non-resident parent were eligible, if applicable. There are two wave 1 datasets, one containing the primary caregiver data and another containing the non-primary caregiver data. Waves 2 to 5 will be deposited as separate datasets when available. The researcher is required to specify which waves of data they are requesting as part of their project application.
Documentation:
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About this data
- Data creator
- Department for Education
- Temporal coverage
- 01 January 2022 to 31 December 2023
- Frequency
- Annual
- Dataset theme
- Society
- Restrictions for access
- Access limited to specific researchers
- Project approval
- Projects must be accredited and have approval from the data owner
- Search keywords
- Demography Education Population ADR Health and well-being Children and young people Ethnicity
Metadata
Metadata
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Dataset themeMain category for the topic of the resource
- Society
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Dataset resource typeThe type of the dataset resource
- Longitudinal
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Geographic coverageThe geographic area covered by the dataset
- England
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Temporal coverageThe timeframes covered by these data
- 01 January 2022 to 31 December 2023
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FrequencyThe frequency at which the dataset resource is published or updated
- Annual
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Geographic levelThe lowest level of geography covered by the dataset
- Region
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Data creatorThe name of the organisation that produced or published this resource
- Department for Education
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Data contributorsThe name(s) of any organisation(s), other than the data supplier or provider, that have data which are included in this dataset resource
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Licensing statusThe license used for making this resource available and defining how it can be used
- Restricted
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Disclosure controlThe standard or bespoke disclosure control rules that apply to this dataset
- Standard disclosure rules apply
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Restrictions for accessRestrictions for users and researchers accessing data in Google Cloud Platform
- Access limited to specific researchers
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Research outputsThe approval route researchers must take for their outputs to be published
- Research outputs must be sent to the data owner
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Project approvalThe project approvals needed for this resource
- Projects must be accredited and have approval from the data owner
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Research disclaimerThe disclaimer required to be published with the outputs for this dataset
- No requirements
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AcronymAny other names or acronyms used to refer to the data
- COT20s
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ProvenanceDetails of how this dataset resource came to be generated
- SRS Migration