The Irish Longitudinal Study on Ageing (TILDA), 2009-2011 (ICPSR 34315)
Principal Investigator(s): Kenny, Rose Anne, Trinity College Dublin (Ireland)
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.
These data are freely available.
WARNING: This study is over 150MB in size and may take several minutes to download on a typical internet connection.
Kenny, Rose Anne. The Irish Longitudinal Study on Ageing (TILDA), 2009-2011. ICPSR34315-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2014-07-16. http://doi.org/10.3886/ICPSR34315.v1
Persistent URL: http://doi.org/10.3886/ICPSR34315.v1
This study was funded by:
- Department of Health and Children (Ireland)
- Irish Life (Ireland)
- Atlantic Philanthropies
Scope of Study
Subject Terms: activities of daily living, aging, childhood, depression (psychology), education, employment, exercise, eyesight, families, family life, family relationships, family structure, financial support, friendships, health, health care, health problems, health services utilization, health status, hearing (physiology), home ownership, income, job descriptions, memory, mental health, neighbors, older adults, pain, pensions, quality of life, relatives, religion, retirement planning, satisfaction, sleep, smoking, social networks, standard of living, travel, wages and salaries
Geographic Coverage: Global, Ireland
Date of Collection:
Unit of Observation: individual
Universe: Individuals aged 50 years and older and their spouses or partners of any age, who are resident in Ireland.
Data Types: clinical data, text, survey data
Data Collection Notes:
These data were organized by Ipsos-MORI.
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: 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: 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 ICPSR Design Report and the ICPSR Release Notes for additional information on sampling.
Time Method: Longitudinal
Kind of Data: quantitative
Weight: The data are not weighted. This dataset contains the following weight variables: CAPIWEIGHT, SCQ_WEIGHT, CAPIWEIGHT2011, BASEWEIGHT, 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.
Mode of Data Collection: computer-assisted personal interview (CAPI), face-to-face interview, mail questionnaire, self-enumerated questionnaire
Response Rates: 62 percent
Presence of Common Scales: See: Tilda-Wave 1 AMF-Derived Variables Codebook-v.1.0.html for scales used.
- 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.
Original ICPSR Release: 2014-07-16
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