Timeline: 2016 – 2017
In country Partners: Interdisciplinary Analysts
Data collected: 2225 people interviewed across Nepal
In 2016 the International Women’s Development Agency led a study in Nepal using the Individual Deprivation Measure (IDM). The purpose was to assess the suitability of the IDM survey, sampling, and analysis methods in a low income country and provide data to inform the review of the IDM measure.
The IDM team engaged an experienced social research organisation based in Kathmandu, Interdisciplinary Analysts (IDA), to implement the IDM Nepal study. IDA worked with IWDA staff to contextualise and translate documentation including IDM questionnaires and provide enumerator training and data collection.
The IDM study in Nepal introduced several innovations. First, tablets rather than paper-based surveys were used to administer the IDM survey.
Second, additional demographic information was solicited, including caste group, migration status, and mental distress (measured through the standard Kessler Psychological Distress Scale or K10). Third, refinements were made to the questions in the Violence, Time Use and Family Planning modules, based on learnings from implementing the IDM in Fiji.
The Nepal sampling design also incorporated a targeted sample of 308 people with disabilities, which was undertaken alongside the main survey. As this sample involved interviewing only one individual (rather than multiple members of a household), the household-level and individual level questionnaires were combined into a single questionnaire for tablet administration for this sub-sample.
This research will involve understanding the ways that different sampling strategies impact results for individuals with disabilities, and exploring the links between disability, multidimensional poverty, gender, and mental health.
Analyses of the IDM Nepal data are ongoing and will be made publicly available in 2018. Areas of focus include gender differences, age differences, and rural/urban differences, and within and between household variance.