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.
Topics: active workers, amazon mechanical turk, exclude, exclude workers, HIT, mechanical turk, mturk, online research, turkprime, workers, active
Greetings Reader,
Topics: amazon mechanical turk, online research, primepanels, turkprime
New Feature: Select MTurk Workers by Big Five Personality Types
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:
Topics: primepanels, turkprime, turkprime panels
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.
Topics: amazon mechanical turk, exclude workers, IP address, IP block, location, region, survey, turkprime
Dynamic Secret Completion Codes for SurveyMonkey and SurveyGizmo
What is the completion rate and dropout rate?
Dropout rate is defined as the percentage of participants who start taking a study but do not complete it. Dropout rate is sometimes referred to as attrition rate, and is the opposite of completion rate (dropout rate = 100 – completion rate). On MTurk, completion rate is defined as the number of Workers who submit a HIT divided by the number of Workers who accept the HIT. Note that, for the definition of completion rate used here, Rejected Workers are counted as completes.
Topics: amazon mechanical turk, autoapproval, completion code, dynamic, mturk, secret code, surveymonkey, turkprime
How to Create a Universal Exclude Worker List
Problem:
Requesters may observe that some workers, even those with high Approval ratings, may not perform to their expectations on a study. Sometimes this may result in rejecting their work which affects the Worker approval rating. But, often the work is not acceptable for research but is not worthy of rejection, or, it may simply be the policy of the research lab to approve all assignments for IRB or some ethical standard they may follow.
Topics: amazon mechanical turk, block worker, exclude, exclude workers, mturk, mturk api, qualification, turkprime
Problem:
You are running a longitudinal study and have identified 1000 workers who you want to allow to take your second phase studies. How do you easily group those workers for easy access.
Or you want to exclude certain workers from taking a number of your studies and wish to group them for easy exclusion in future studies. How can you do that?
Topics: amazon mechanical turk, exclude, exclude workers, include workers, Longitudinal, qualification, turkprime, worker groups
Studies with Panels for just $0.15 - 0.75 / complete
Now you can run Mechanical Turk studies using your own Requester account and specify over two dozen demographic traits!. The traits include gender, ethnicity, age, marital status and sexual orientation. But it does not stop there! The available options also include occupation, medical and health history, cell phone use and much more.
Topics: amazon mechanical turk, demographics, mechanical turk, mturk, qualification, traits, turkprime, turkprime panels
Google Forms can be used to deliver a study with TurkPrime in a similar manner to other survey platforms (like Qualtrics and SurveyMonkey).
Topics: google form mechanical turk, google forms, mechanical turk, mturk, secret code, secret key, survey, turkprime
New Safety Feature: Assignment Rejections are not Automated and Require Manual User Action
Many researchers set up their studies to use the TurkPrime AutoApprove feature so that they do not need to manually approve worker assignments based on the secret code that workers enter. On occasion, a researcher may set up his study incorrectly which results in many worker assignments getting automatically rejected. This was a significant cause for distress among the Mechanical Turk workers who received rejections for their work which then went unpaid and also lowered their MTurk approval rating. This was also a sore point for TurkPrimeresearcherswho had to deal with upset workers and correspond with them, and often reverse their rejections.
Topics: amazon mechanical turk, autoapproval, reverse rejection, study, survey, turkprime