Examples of using Big data sources in English and their translations into Ukrainian
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Colloquial
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Ecclesiastic
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Computer
If true, this would seem to severely limit what can be learned from big data sources because many of them are nonrepresentative.
system drift make it hard to use big data sources to study long-term trends.
it is a major challenge with using big data sources for social research(Lazer 2015).
Thus, when big data sources appear to reproduce predictions of social theory,
The remainder of the chapter begins by arguing that big data sources will not replace surveys
To conclude, many big data sources are drifting because of changes in who is using them,
Once you realize some treatment has been assigned randomly, big data sources can provide the outcome data that you need
thinking about natural experiments in big data sources.
But, as was described in chapter 2, big data sources may not be accurate,
Third, when survey data collection is combined with big data sources- something that I think will become increasingly common,
for more on construct validity in big data sources, Lazer(2015) and Chapter 2 of this book.
In other words, even though some big data sources are non-reactive,
for more on construct validity in big data sources, Lazer(2015) and Chapter 2 of this book.
from enriching survey data with big data sources(you can see this study either way).
These four examples all show that a powerful strategy in the future will be to enrich big data sources, which are not collected for research,
When thinking about big data sources, many researchers immediately focus on online data created
including big data sources, surveys, experiments,
Going forward, I expect that nowcasting studies that combine big data sources with researcher-collected data will enable companies
In fact, my hope is that big data sources will enable researchers to make more within-sample comparisons in many nonrepresentative groups,
I think the idea of repurposing is fundamental to learning from big data sources, and so, before talking more specifically about the properties of big data sources(section 2.3)