TurkPrime Blog

TurkPrime Blog

MicroBatch is now a Pro Feature

Posted by Leib Litman on Jan 11, 2018 11:27:00 AM

TurkPrime is announcing a change in our pricing for the MicroBatch feature. MicroBatch is now included as a Pro feature, with a fee of 2 cents + 5% per complete. This will also provide users with access to all other pro features, with no additional charge. This change is necessary so that we can continue to provide the highest quality service and tools that our users expect.

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Topics: amazon mechanical turk, microbatch, mturk, online research, pro features

Conducting research: How online research tools can help

Posted by Leib Litman on Dec 22, 2017 3:34:00 PM

When researchers learn about conducting research online, it can sometimes be difficult to understand quite how all the tools that are available can actually be applied to a project. This post is about how specific research ideas can be carried out using the kinds of features available for online research. Online research tools can make it much simpler to recruit balanced samples of individuals that are hard to find and selectively sample using more traditional methods.

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Topics: Uncategorized

New Feature: Exclude Highly Active Workers

Posted by Leib Litman on Dec 15, 2017 12:30:00 PM

Some workers on MTurk are extremely active, and take the majority of posted HITs. This can lead to many issues, some of which are outlined in our previous post. Although MTurk has over 100,000 workers who take surveys each year, and around 25,000 who take surveys each month, you are much more likely to recruit highly active workers who take a majority of HITs. About 1,000 workers (1% of workers) take 21% of the HITs. About 10,000 workers (10% of workers) take 74% of all HITs.

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Topics: active, active workers, amazon mechanical turk, exclude, exclude workers, HIT, mechanical turk, mturk, online research, turkprime, workers

Best recruitment practices: working with issues of non-naivete on MTurk

Posted by Leib Litman on Dec 8, 2017 3:59:00 PM

It is important to consider how many highly experienced workers there are on Mechanical Turk. As discussed in previous posts, there is a population pool of active workers in the thousands, but this is far from exhaustible. A small group of workers take a very large number of HITs posted to MTurk, and these workers are very experienced and have seen measures commonly used in the social and behavioral sciences. Research has shown that when participants are repeatedly exposed to the same measures, this can have negative effects on data collection, changing the way workers perform, creating treatment effects, giving participants insight into the purpose of some studies, and in some cases impact effect sizes of experimental manipulations. This issue is referred to as non-naivete (Chandler, 2014; Chandler, 2016).

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Topics: amazon mechanical turk, approval rating, experience, exposure, HIT, mechanical turk, mturk, naivete, non-naive, primepanels, qualification, recruitment, requester, workers

Are MTurk workers who they say they are?

Posted by Leib Litman on Dec 1, 2017 2:19:00 PM

The internet has the reputation of being a place where people can hide in anonymity, and present as being very different people than who they actually are. Is this a problem on Mechanical Turk? Is the self-reported information provided by Mechanical Turk workers reliable? These are important questions which have been addressed with several different methods. Researchers have examined a) consistency of responding to the same questions over time and across studies b) the validity of responses, or the degree to which the items capture responses that represent the truth from participants. It turns out that there are certain situations in which MTurk workers are likely to lie, but they are who they say they are in almost all cases.

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Topics: amazon mechanical turk, anonymous, demographics, HIT, mturk, panels, qualification, turkprime panels, unique worker, worker groups, workers

Strengths and Limitations of Mechanical Turk

Posted by Leib Litman on Nov 20, 2017 11:12:00 PM

Hundreds of academic papers are published each year using data collected through Mechanical Turk. Researchers have gravitated to Mechanical Turk primarily because it provides high quality data quickly and affordably. However, Mechanical Turk has strengths and weaknesses as a platform for data collection. While Mechanical Turk has revolutionized data collection, it is by no means a perfect platform. Some of the major strengths and limitations of MTurk are summarized below.

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Topics: amazon mechanical turk, demographics, exclude workers, google form mechanical turk, HIT, mechanical turk, mturk, mturk api, panels, qualification, study, turkprime panels, unique worker, worker groups, workers

Upcoming New Content on the Blog

Posted by TurkPrime on Nov 17, 2017 11:43:00 AM

Greetings Reader,

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Topics: amazon mechanical turk, online research, primepanels, turkprime

New Feature: Select MTurk Workers by Big Five Personality Types

Posted by Jonathan Robinson on Oct 31, 2017 11:33:00 AM

Run Studies Targeting Specific Big Five Personality Types

TurkPrime introduces a new Big Five personality types qualification: Now social science researchers can run studies targeted to the Big Five:

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Topics: turkprime panels, primepanels, turkprime

New Feature! Restarts now available when using HyperBatch

Posted by Sam Krumholtz on Feb 28, 2017 1:18:00 PM

Now available "Restart HIT"-- using HyperBatch!

The TurkPrime "Restart" feature (which Restarts HITs that have become sluggish; see our blog post on Restarts to see all the benefits of this feature) can now be used in conjunction with HyperBatch. This was a highly requested feature from our users and we are happy to announce that it is now LIVE. The only difference between using the restart feature with HyperBatch and using the restart feature without HyperBatch is that you will only be able to restart the HIT once per day with HyperBatch. This helps ensure that our system will not be over-burdened.

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Topics: hyperbatch

Verified US Region Targeting

Posted by TurkPrime on Dec 2, 2016 1:22:00 PM

Problem

Many researchers wish to target participants from specific states or regions of the United States like the Northeast or the West. The problem they often encounter is that using MTurk's Geographic Qualification to specify a particular state is often not adequate to ensure participants actually reside in the specified state.

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Topics: amazon mechanical turk, exclude workers, IP address, IP block, location, region, survey, turkprime