GESIS_Panel na Twitteru: "#RecommendedPaper The article compares methods for overcoming selection bias in big data. Conclusion: “machine learning methods are more powerful at removing selection bias in non-probability samples than traditional methods used for random samples.” https://t.co/TXSYtMRYr3… https://t.co/zJZxcsuzyt"

@GESIS_Panel

We offer a unique opportunity to collect survey-based data from a large scale representative sample of the German population.

Mannheim, Germany

Država	Kod	Samo za korisnike
Sjedinjene Američke Države	40404	(bilo koje)
Kanada	21212	(bilo koje)
Ujedinjeno Kraljevstvo	86444	Vodafone, Orange, 3, O2
Brazil	40404	Nextel, TIM
Haiti	40404	Digicel, Voila
Irska	51210	Vodafone, O2
Indija	53000	Bharti Airtel, Videocon, Reliance
Indonezija	89887	AXIS, 3, Telkomsel, Indosat, XL Axiata
Italija	4880804	Wind
3424486444	Vodafone
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‏ @GESIS_Panel

#RecommendedPaper The article compares methods for overcoming selection bias in big data. Conclusion: “machine learning methods are more powerful at removing selection bias in non-probability samples than traditional methods used for random samples.” http://t1p.de/rhyq pic.twitter.com/pGJQK7f5Ur