Examples of using Survey data in English and their translations into Marathi
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Exif-gpsmapdatum'=gt;'Geodetic survey data used'.
Third, when survey data collection is combined with digital traces, additional ethical issues can arise.
Figure 3.10: Two main ways to combine digital traces and survey data.
There is justtoo much to be gained by linking survey data to the big data sources discussed in chapter 2.
First, there is tremendous value from enriching digital traces with survey data.
Combinations with other parts of speech
Usage with adjectives
Usage with verbs
By enriching the Catalist master data file with survey data, Ansolabehere and Hersh came to three important conclusions.
Figure 3.12: Two ways to combine big data sources and survey data.
Amplified asking using a predictive model to combine survey data from a few people with a big data source from many people.
In amplified asking(Section 3.6.1) the digital traces are used to amplify the survey data.
In enriched asking, survey data builds context around a big data source that contains some important measurements but lack others.
A second source of errors is the record linkage between the survey data and the master datafile.
In other words, by combining a small amount of survey data with the call records, Blumenstock and colleagues were able to produce estimates comparable to those from gold-standard approaches.
Finally, I will describe two strategies for combining survey data with digital trace data. .
In amplified asking, the digital traces are not of any direct interestother than their ability to help extract more value from the survey data.
Finally, I will describe two research templates for linking survey data to big data sources(section 3.6).
Voter turnout has been the subject of extensive research in political science, and in the past, researchers' understanding of who votes andwhy has generally been based on the analysis of survey data.
In fact,you have probably also read a bunch of papers that use survey data in ways that are banal or wrong, but you don't write-off all research using surveys. .
They repurposed the call records(a readymade) and they created their own survey data(a custommade).
That's because you know that there is great research done with survey data, and in this book I'm going to show you that there is also great research done with the tools of the digital age.
They repurposed the mobile phone call data(a Readymade)and they created their own survey data(a Custommade).
In fact,you have probably also read a bunch of papers that use survey data in ways that are banal or wrong, but you don't write off all research using surveys. .
As I will show in this chapter, the digital age creates many exciting opportunities for survey researchers to collect data more quickly and cheaply, to ask different kinds of questions,and to magnify the value of survey data with big data sources.
We saw how Stephen Ansolabehere and Eitan Hersh(2012)combined custom-made survey data with ready-made government administrative data in order to learn more about characteristics of the people who actually vote.
In enriched asking, on the other hand,the digital trace actually has a core measure of interest and the survey data builds the necessary context around it.
Joshua Blumenstock, Gabriel Cadamuro, and Robert On(2015)combined detailed phone call data from about 1.5 million people with survey data from about 1,000 people in order to estimate the geographic distribution of wealth in Rwanda.
In their paper, Ansolabehere and Hersh go through a number of steps to check the results of these two steps- even though some of them are proprietary- and these checks might behelpful for other researchers wishing to link survey data to black-box big data sources.
Most social scientists are alreadyfamiliar with the process of cleaning large-scale social survey data, but cleaning big data sources seems to be more difficult.
In enriched asking(Section 3.6.2)the digital traces actually have a core measure of interest and the survey data builds the necessary context around it.
Even in public enterprises,the women employees constitute about 9% of the workforce as per the Public Enterprises Survey data for 2015-16 released by the Government of India!
Finally, they estimate how many people there are of each voter type in the electorate based on latest Census and Annual PopulationSurvey(with some addition information from the BES, YouGov survey data from around the general election, and information on how many people voted for each party in each constituency).