Each of their surveys you complete will be worth between 100-5,000 points depending on the length and subject. There are a variety of different topics to cover like consumer goods, healthcare and travel, just to name a few. Once you reach 3,000 points you can start redeeming rewards. You have to call and redeem points over the phone, and it typically takes a month for the rewards to reach you.

Now there are alot of online survey or poll but repeated questions on eg income/age range, which industries you work in etc are common ones we need to repeatedly reply to even if its a one word different question or range. The API will auto fill in these surveys we intend to participate instead and we can copy those not-answered before questions save into our database for future references.


You build your surveys online, relying on a simple interface that lets you type in your question and then pick the answer type. After you deploy the survey to your team's mobile devices, it's displayed full-screen with beautiful background images and large touch-ready buttons. You can then collect responses directly on your iOS and Android devices, and have them show up automatically in LoopSurvey's web app back in the office.
And lastly, let's discuss privacy.  In some ways, Pinecone Research gets it right – they use the information to verify you are not a duplicate or in any way defrauding them out of a valuable opinion.  After that, they only use your personal information for developing metrics and usage statistics – not giving it out to every third party that comes along.  More importantly, they take consumer information privacy seriously.  When they compile their reports for their clients, they scrub all data of any identifying information.
An example of a wording difference that had a significant impact on responses comes from a January 2003 Pew Research Center survey. When people were asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule,” 68% said they favored military action while 25% said they opposed military action. However, when asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule even if it meant that U.S. forces might suffer thousands of casualties,” responses were dramatically different; only 43% said they favored military action, while 48% said they opposed it. The introduction of U.S. casualties altered the context of the question and influenced whether people favored or opposed military action in Iraq.
MintVine is a cool looking paid survey site that makes it easy to complete a survey, without having to spend too long learning how to do it. One of the things I liked most about MintVine is that they offer a huge amount of ways to get paid: there’s the old favorite PayPal of course, but you can also choose Starbucks cards, Amazon and other gift cards, and even restaurant cards. Your surveys can pay for your next meal, and it’s easy to rack up points here. Some users have reported delays in receiving payments however, but this isn’t a scam and MintVine are working hard to speed up their process and iron our any glitches. If they do, they could be heading into the Survey Cool top ten in 2018.
Clayburn Griffin, a digital marketer who finds remote work suits him best, hopes more companies see the benefits that can be gleamed from remote workers, “I really hope employers start to realize this and offer more time to their employees to work from home. I think they don't because they're afraid of abuse and because it feels like there is no oversight. You can't see what an employee is doing, and that feels like giving up some control. All that should matter, though, is that they're getting the work done.”

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Select a representative sample: Selecting a representative sample from your sampling frame is also important for collecting valid and reliable data about the population of interest. For example, if you are sampling from a large database of customer email addresses and only wanted one response per household, you might want to cross-check each email address against mailing addresses and remove duplicates to avoid some households having a greater probability of selection. Then you would likely draw a random sample from the remaining list of email addresses.
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