The Irish Longitudinal Study on Ageing (TILDA), Wave 5, 2018 (ICPSR 38674)
Version Date: May 12, 2025 View help for published
Principal Investigator(s): View help for Principal Investigator(s)
Rose Anne Kenny, Trinity College (Dublin, Ireland)
Series:
https://doi.org/10.3886/ICPSR38674.v2
Version V2 (see more versions)
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Summary View help for Summary
This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/).
The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a one year basis with a sample cohort of residents of Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized.
The fifth wave of TILDA interviews were undertaken between January and December 2018. A total of 4,978 participants completed the self-interview.
Demographic and background variables include age, sex, marital status, household composition, education, and employment.
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Geographic Coverage View help for Geographic Coverage
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Date of Collection View help for Date of Collection
Data Collection Notes View help for Data Collection Notes
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These data were organized by Ipsos-MORI.
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ESRI - Economic and Social Research Institute, Dublin, Ireland were special collaborators.
- Additional information about The Irish Longitudinal Study on Ageing can be found at the TILDA Web site.
Study Purpose View help for Study Purpose
This research aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland.
Sample View help for Sample
The sample design incorporates stratification, clustering, multi-stage selection, and representative probability sampling. The dataset contains the cluster variables CLUSTER and HOUSEHOLD. The selection of geographic clusters was stratified, so that equal numbers of clusters were selected from each of three socio-economic groups. The socio-economic status of a cluster was defined by the proportion of individuals in that cluster. Please refer to the Release Guide for additional information on sampling.
Time Method View help for Time Method
Universe View help for Universe
Individuals aged 50 years and older and their spouses or partners of any age, who are resident in Ireland.
Unit(s) of Observation View help for Unit(s) of Observation
Data Type(s) View help for Data Type(s)
Mode of Data Collection View help for Mode of Data Collection
Response Rates View help for Response Rates
Self Interview - 81%
Self Completion Questionnaire - 86%
Presence of Common Scales View help for Presence of Common Scales
Several commonly used scales have been constructed based on the CAPI and SCQ data and these are included along with other derived variables. Derived variables are prefixed with an uppercase code which indicates the research area to which they relate. Please see the Derived Variables codebook for more information on these variables.
HideOriginal Release Date View help for Original Release Date
2023-04-12
Version History View help for Version History
2025-05-12 This study has been updated to display variable metadata for discoverability across the ICPSR websites.
Notes
The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.
This study is maintained and distributed by the National Archive of Computerized Data on Aging (NACDA), the aging program within ICPSR. NACDA is sponsored by the National Institute on Aging (NIA) at the National Institutes of Heath (NIH).