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Snakes and Ladders - ERU Consultants Pvt. Ltd.

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day workshop in Hyderabad in late August 2002. The revision was based on the feedback from<br />

the pilot testing as well as technical inputs from experts in child development, health & nutrition<br />

<strong>and</strong> qualitative research.<br />

Care was taken that the selection of the research district/block, villages, urban localities, <strong>and</strong><br />

households was done on a systematic basis to ensure non-biased representation as well as provide<br />

an effective backdrop to explore the research issues at h<strong>and</strong>. Districts in each of the research state<br />

were listed on the basis of female literacy rates, social composition [Scheduled Castes (SC),<br />

Scheduled Tribes (ST), <strong>and</strong> minority population], rural-urban demographics, poverty indicators,<br />

sex ratio, <strong>and</strong> presence of governmental <strong>and</strong> non-governmental programs in the area (for instance<br />

Mahila Samakhya, ICDS, etc.). Given the size of the 3 states <strong>and</strong> significant internal variations<br />

between different regions in the state, selecting one district for a detailed qualitative study was a<br />

daunting prospect, especially in the case of Uttar Pradesh. After several rounds of discussions<br />

with government officials <strong>and</strong> the World Bank team, it was decided to choose a district that is<br />

fairly representative of the state. The selected research districts include Sitapur in UP, Nizamabad<br />

in AP, <strong>and</strong> Bellary in Karnataka <strong>and</strong> all are average performers with reference to human<br />

development indicators. Since qualitative research dem<strong>and</strong>s intense <strong>and</strong> sustained interaction with<br />

the community – therefore, among the important criteria for selection was also the presence of<br />

Mahila Samakhya Programme (MSP) or an NGO in the area to facilitate initial rapport building<br />

with the community – especially women.<br />

A listing of villages was generated on the basis of average population of 1500 <strong>and</strong> other criteria<br />

used for selecting the district - presence of pre-school <strong>and</strong> primary school facilities, social<br />

demographics, infrastructure, presence of MSP/NGO. The final selection of villages was done on<br />

the basis of lots. This was followed by the generation of a house-listing schedule. The households<br />

were categorized on the basis of number of children <strong>and</strong> their ages <strong>and</strong> a shortlist of households<br />

with at least one child below the age of five, but with minimum of two children, preferably one<br />

girl was created. Out of the short listed household a further categorisation was done by caste <strong>and</strong><br />

occupation, female-headed households, bonded children, <strong>and</strong> adult disability in order to capture<br />

diverse poverty situations. On the basis of this process, 6 households in each village <strong>and</strong> 3<br />

households each in the urban areas were r<strong>and</strong>omly selected by drawing lots.<br />

Selection of urban areas followed a slightly different trajectory. The initial step involved the<br />

identification <strong>and</strong> selection of a big town in the district, normally the district headquarters <strong>and</strong><br />

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