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/
>>>> ---
>>>> You received this message because you are subscribed to the Google
>>>> Groups "datameet" group.
>>>> To unsubscribe from this group and stop receiving emails from it, send
>>>> an email to datameet+unsubscr...@googlegroups.com.
>>>> For more options, visit https://groups.google.com/groups/opt_out.
>>>>
>>>
>>>
>>>
>>> --
>>> For more details about this list
>>> http://datameet.org/discussions/
>>> ---
>>> You received this message because you are subscribed to the Google
>>> Groups "datameet" group.
>>> To unsubscribe from this group and stop receiving emails from it, send
>>> an email to datameet+unsubscr...@googlegroups.com.
>>> For more options, visit https://groups.google.com/groups/opt_out.
>>>
>>
>>
>>
>> --
>> Nisha Thompson
>> Mobile: 962-061-2245
>>
>>
>
>
> --
> Nisha Thompson
> Mobile: 962-061-2245
>
> --
> For more details about this list
> http://datameet.org/discussions/
> ---
> You received this message because you are subscribed to a topic in the
> Google Groups "datameet" group.
> To unsubscribe from this topic, visit
> https://groups.google.com/d/topic/datameet/axFGNa5cQtA/unsubscribe.
> To unsubscribe from this group and all its topics, send an email to
> datameet+unsubscr...@googlegroups.com.
> For more options, visit https://groups.google.com/groups/opt_out.
>
--
For more details about this list
http://datameet.org/discussions/
---
You received this message because you are subscribed to the Google Groups
"datameet" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to datameet+unsubscr...@googlegroups.com.
For more options, visit https://groups.google.com/groups/opt_out.
