Venkata, the name of the location IS part of the dataset, as also a
classification (by the respondent) whether the location is Rural or Urban.
Aggregated at a Taluk/District level, yes, urbanization level is definitely
something we could infer.
The Survey is run by Daksh <http://www.dakshindia.org>, an NGO from
Bangalore. Funding is from individual contributors and from
ADR<http://www.adrindia.org>,
one of the prime movers in election reform in India. Daksh as a society is
completely non-partisan in terms of political loyalties. Our only interest
is to use the Survey as a means to raise the level of public debate, from
Individuals to Issues.
All data in the past has been available for the asking. So in that sense,
yes, it is public. In this case, given the volume of the data and local
sensitivities to some of the questions, the complete dataset will only be
available after some weeks - in all probability, immediately after the
elections. Inferences and aggregations will be published beginning two
weeks from now.
On Monday, February 10, 2014 12:14:35 PM UTC+5:30, Venkata Pingali wrote:
>
>
> Couple of thoughts:
>
> 1. We can ask about origin/hometown. This can help us understand
> urbanization process.
>
> 2. Will the data be public information? Who is the sponsor
> of this initiative?
>
>
>
>
> On Mon, Feb 10, 2014 at 11:06 AM, Kishore (Narasimhan) Mandyam <
> kis...@dakshindia.org <javascript:>> wrote:
>
>> Daksh is currently conducting a Nationwide in-field survey about people's
>> perceptions about their MPs. We're talking to nearly 2.5 lakh (that's
>> 250,000!) people in nearly 10,000 locations, in over 500 MP constituencies.
>> The math works out to about 500 responses in each Constituency - stratified
>> and randomized enough to give an analyst a fairly clear picture of what
>> people are thinking. The data consists of 10 demographic details (gender,
>> rural/urban resident, religion, occupation, qualification, roof-type,
>> assets owned, etc.), four "political awareness" points ("Did you vote..?",
>> "What are the reasons you vote for a candidate?" and so on) and upto 30
>> issue-based Performance questions (bijli / sadak / paani kinds of things).
>> Respondents tell us how important they think a specific issue is (Low /
>> Medium / High) AND how well they think their MP has done in that specific
>> issue. We've done thins kind of thing for Karnataka MLAs before and one of
>> the more populist results was a series of MLA Scorecards that appeared
>> pre-election in Vijay Karnataka, Indian Express and Times of India in 2013.
>> With this much-wider survey, though, we're wondering about the various
>> other things we could do - from mapping people's perceptions about caste
>> and criminality to inferring rural and urban unemployment rates. But that's
>> probably the low-hanging fruit. How else could this data be used? Ideas
>> welcome!
>>
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