DOI: 10.3886/icpsr38674.v1
title: The Irish Longitudinal Study on Ageing (TILDA), Wave 5, 2018
title: Version 1

description: 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.
description: 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.
description: Response Rates: Self Interview - 81%
Self Completion Questionnaire - 86%
description: 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.
description: 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.
description: Datasets: 
DS1: The Irish Longitudinal Study on Ageing (TILDA), Wave 5, 2018
description: Individuals aged 50 years and older and their spouses or partners of any age, who are resident in Ireland.
description: computer-assisted personal interview (CAPI); face-to-face interview; mail questionnaire; self-enumerated questionnaireThese 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.