Case Study IDS-TILDA
- IBM SPSS Data Collection
- IBM SPSS Statistics
- IBM SPSS Text Analytics for Surveys
“SPSS Data Collection gave us the ability to design a very clear, accessible mechanism to administer the survey, which helped to make the interviews more enjoyable for our participants.”
Eilish Burke, Project Manager, IDS-TILDA
IDS-TILDA gains new insights with computer-aided interviewing
Developing accessible interactive surveys to understand the needs of older people with intellectual disabilities.
IDS-TILDA (The Intellectual Disability Supplement to The Irish Longitudinal Study on Ageing) is a research project that aims to help Ireland’s government, voluntary and healthcare sectors gain a better understanding of the needs of older people with an intellectual disability (ID).
IDS-TILDA aims to give policy-makers insight into the needs of older people with intellectual disabilities. Gathering data from this vulnerable population in a sensitive and ethical way was a key challenge.
The IDS-TILDA team used IBM® SPSS® software to design an accessible survey, and developed complementary supportive graphics for persons with low literacy to help illustrate many of the questions. Text-mining and statistics tools were then used to analyse the collected data.
Computer-aided personal interviewing helps interviewees participate more fully in the study. Descriptive statistics and regression analysis provided new insight into the ageing ID population. Text analytics reveals common themes in free-text data entries.
© Copyright IBM Corporation 2013