The Daksh website now has a section with a brief description and links to
our survey forms - OMR for in English
<http://dakshindia.org/Jan2014ENG.pdf>and non-OMR
form in Hindi <http://dakshindia.org/Jan2014ENG.pdf>.
Kishore.
-----------------------
www.dakshindia.org
On Mon, Feb 10, 2014 at 3:50 PM, Kishore (Narasimhan) Mandyam <
kish...@dakshindia.org> wrote:
> Nisha, no problems messing up my name - I'm already used to that with my
> other one (Narasimhan) :)
> By 15 Mar, the survey would be complete and the data will all be in, so
> yes, we could play with it at the ODC. We can talk once you've had a chance
> to review the questionnaire.
>
>
>
> Kishore.
> -----------------------
> www.dakshindia.org
>
>
> On Mon, Feb 10, 2014 at 3:38 PM, Nisha Thompson
> <nisha.thomp...@gmail.com>wrote:
>
>> Sorry! Kishore!
>>
>> I was saying it out loud and spelled it wrong.
>>
>> Nisha
>>
>>
>> On Mon, Feb 10, 2014 at 3:37 PM, Nisha Thompson <nisha.thomp...@gmail.com
>> > wrote:
>>
>>> Hey Keyshore!
>>>
>>> This is a great dataset! I would like to brainstorm with you on it so we
>>> can see what can be done with it.
>>>
>>> Yes we are definitely doing an election themed Open Data Camp around
>>> March 15th 16th, which would be a great venue for getting more ideas and
>>> also having some space so people can work with the data and play with it.
>>>
>>>
>>> On Mon, Feb 10, 2014 at 2:02 PM, Srinivasan Ramani <
>>> srinivasan...@gmail.com> wrote:
>>>
>>>> Some thoughts -
>>>>
>>>>
>>>> * The survey of 2.5 lakh would certainly be exhaustive but I personally
>>>> feel it could be over-done. Sampling can be somewhat lesser than that to
>>>> yield more focussed results (for easier post-survey processing, I suppose).
>>>>
>>>> * But that said, the survey could seek to not to fully replicate
>>>> efforts such as what the CSDS' Lokniti already does. One weakness I believe
>>>> that the Lokniti surveys have is that while the questionnaires gauge
>>>> background and attitude towards politics variables quite well, they don't
>>>> necessarily capture reasons and expectations that much well.
>>>>
>>>> So, for e.g.,if the questionnaire and data can be more than just "what
>>>> are the reasons you vote for a candidate" .. maybe, "why do you think your
>>>> choice of party/candidate is better than the alternative".. "what schemes
>>>> have you benefitted from during MP's tenure / or hope to benefit from"..
>>>> Also, opinions such as "who do you think could be an ideal leader?" to
>>>> reflect opinions on the kind of representatives they would like to have ...
>>>> is another thing that would be helpful.
>>>>
>>>> * Beyond political opinion, better knowledge of class backgrounds will
>>>> also be useful (in terms of profession, homes, access to facilities etc).
>>>>
>>>>
>>>> On Mon, Feb 10, 2014 at 11:06 AM, Kishore (Narasimhan) Mandyam <
>>>> kish...@dakshindia.org> 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!
>>>>>
>>>>> --
>>>>> For more details about this list
>>>>> http://datameet.org/discussions/
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>>>>>
>>>>
>>>>
>>>>
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>>>>
>>>
>>>
>>>
>>> --
>>> Nisha Thompson
>>> Mobile: 962-061-2245
>>>
>>>
>>
>>
>> --
>> Nisha Thompson
>> Mobile: 962-061-2245
>>
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