The Irish Longitudinal Study on Ageing (TILDA), 2009-2011 (ICPSR 34315)
Version Date: Aug 1, 2018 View help for published
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Summary View help for Summary
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 two yearly basis with a sample cohort of 8,504 people aged 50 and over (or their spouses/partners) and resident in 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. Demographic and background variables include age, sex, marital status, household composition, education, and employment.
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Data Collection Notes View help for Data Collection Notes
These data were organized by Ipsos-MORI.
ESRI - Economic and Social Research Institute, Dublin, Ireland were special collaborators.This collection is related to TILDA Wave 2, ICPSR 37105, and TILDA Wave 3, ICPSR 37106. For similar study information and characteristics, please refer to all three studies. 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 probablity sampling. The dataset contains the cluster variables CLUSTER and HOUSEHOLD, and the strata variable STRATUM. CLUSTER and HOUSEHOLD describe the household and geographic clusters to which participants belong. 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. STRATUM describes to which of three cluster-level socio-economic groups the respondents belong. 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.
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Response Rates View help for Response Rates
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See: Tilda-Wave 1 AMF-Derived Variables Codebook-v.1.0.html for scales used.
Original Release Date View help for Original Release Date
Version History View help for Version History
2018-08-01 The data file was replaced with an anonymized version supplied by the P.I. Additional documentation supplied by the P.I. and a crosswalk created by ICPSR were also added to the collection.2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
- Kenny, Rose Anne. The Irish Longitudinal Study on Ageing (TILDA), 2009-2011. ICPSR34315-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2018-08-01. http://doi.org/10.3886/ICPSR34315.v2
2014-07-16 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Created variable labels and/or value labels.
- Standardized missing values.
- Created online analysis version with question text.
- Checked for undocumented or out-of-range codes.
Weight View help for Weight
The data are not weighted. This dataset contains the following weight variables: CAPIWEIGHT, SCQ_WEIGHT, HC_WEIGHT, and HA_WEIGHT. For inferences based on the TILDA dataset to be applicable to the Irish population, weights must be applied to correct for selection bias before analysis. CAPIWEIGHT is calculated by comparing the distributions of age, sex, education, marital status and geographic location in the sample to those derived from census data. SCQ_WEIGHT inflates each CAPI weight by the probability that each individual returned the SCQ and is created by dividing the CAPI weight by the predicted probability, and incorporates a minor rescaling adjustment to ensure that the total size of the weighted population remains the same. Please refer to the ICPSR Release Notes for additional information on weighting.
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).