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.
Convenience: 4.5/5.0 – While the sign up form is easy to fill out, you will have to enter more information about yourself up-front than other survey companies ask for. Typically, you just need to enter your email address and create a password to join, but Ipsos also requires your name and physical address. We only gave a slightly lower rating for this because the sign-up process is still very quick and painless.
One of the great things about Survey Savvy is that they really do offer a great variety of surveys to choose from, so you won’t simply be talking about the consumer goods that you buy on a day to day basis. They have surveys on topical issues and about politics in general, but don’t worry you don’t have to be a political animal to be able to complete the survey – you just need to have an opinion. Another thing I really appreciated about survey savvy is that their surveys are short and snappy, and you can complete them within ten minutes or even less. That means you can quickly earn the points that can then be exchanged into folding cash.
They are new to me. I did a search and wasn’t able to turn up much online, other than this – https://forum.surveypolice.com/index.php?/topic/4110-saw-an-advertisement-for-iglobalsurveys/. Someone thinks they are more of a “survey router,” not the same as answering Q’s directly for a survey panel. So I think I personally wouldn’t sign up, but as always I recommend that you do you your own research in addition to the research I’ve done.
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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This is where it can all go downhill quickly. In the pressure to make as many pennies out of a nickel, a lot of research corporations will not just sell your answers but the data associated with it. Details that you provide when taking paid surveys such as your name, address, age range can all be attached together quickly to fulfill a lot of larger companies' requests for information (RFI).
I have a very serious question I have been a member of InboxDollars for over 2 years they send me emails that say here’s a survey for you and they waste 10 minutes of my time going through it to tell me that I don’t qualify I wrote them and said I gave you all my demographic information please do not send me this and waste my time but they consistently do that.
All of the surveys from RAND Health Care are public documents, available without charge. Please provide an appropriate citation when using these products. In some cases, the materials themselves include specific instructions for citation. Some materials listed are not available from RAND Health Care. Those links will take you to other websites, where you will find instructions for use. There are no further permissions necessary.
Design and pre-test questionnaires: Designing the questionnaire carefully and then pre-testing it before fielding it to your entire sample is crucial to getting data that are valid and reliable. For example, careful questionnaire design and pre-testing can help reduce the chance that respondents may interpret the meaning of questions differently. Future posts in this series will tackle these important steps in much greater detail.