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Posts published in “Tutorial”

Tutorial: Emailing Mechanical Turk Participants

If you’ve run a FindingFive study on Mechanical Turk, you may want to reach out directly to some of your participants — perhaps to invite them to participate in a follow-up study! However, if you’ve read our post on Best Practices for Mechanical Turk, you’ll know that it is both against Amazon’s user policy and ethically questionable to ask participants…

Tutorial: Integrating FindingFive with participant recruitment platforms

Participant recruitment platforms like Prolific and SONA can help you easily grow and manage your participant pool. This tutorial will show you how to integrate your FindingFive study with recruitment platforms in four simple steps: Launch a study session on FindingFive Get a link to your study session and post it to your chosen recruitment platform Ask participants to create…

Tutorial: Accessing and understanding your results

When a study session is complete, your results become available for download. In this post, we’ll look at how to access and understand your results files. Throughout this tutorial, we’ll be referring to study sessions rather than studies. This is because a single study can be launched across multiple simultaneous or sequential sessions. You might want to run multiple sessions…

Mechanical Turk Best Practices

FindingFive’s goal is to be a one stop shop for designing, implementing, recruiting for, and communicating online research. FindingFive offers seamless integration with Amazon’s Mechanical Turk (MTurk), so you can quickly and easily post your study to the marketplace and start collecting data directly from your FindingFive account. (To see how easy this is, check out our full instructions on…

Tutorial: Tokenized Text

Tokenized text stimuli display the tokens of a text stimulus one-at-a-time on the screen. Tokens are usually words in a sentence, but could be individual characters, phrases, or non-word strings. The color, size, and justification of tokenized text stimuli can all be customized using the methods described in our tutorial on stimulus customization. But because tokenized text stimuli are interactive…

Tutorial: Adjusting the appearance of stimuli

FindingFive makes it easy to adjust the appearance of multiple types of stimuli, like static text stimuli, images, audio stimuli, and videos. In addition, while FindingFive automatically displays your stimuli in sensible locations on the screen, you can also customize the locations of multiple stimuli within a trial. Text stimuli If the default size and color of a text stimulus…

Launching a study on Mechanical Turk

FindingFive works seamlessly with Amazon’s Mechanical Turk. FindingFive offers an easier way to program your study and simultaneously take advantage of the participant pool and easy payment procedure that Mechanical Turk offers. We’ve done all the nitty-gritty backend work for you, so you can launch your FindingFive experiment on MTurk by following these easy steps: Make sure you have an…

Tutorial: Randomizing trials that are paired across trial templates

There are lots of situations where you’ll want to randomize the order of your trials so that you can avoid potential order-of-presentation effects. This can easily be accomplished by setting the order property of your block to randomized_trials. But in blocks where you have multiple trial templates, it might be important to keep the trials across templates paired together, even…

Tutorial: Adjusting the timing of trials

In the first and second tutorials on how to adjust the timing of elements in your study, we covered how to control the timing of stimuli and responses within a trial. This post will show you how to control the timing of the trials within your study. Adjusting the time between trials (a.k.a., intertrial intervals) Creating trials that proceed automatically Using trial…

Tutorial: Advanced stimulus timing features

In the first tutorial about stimulus timing, we covered the primary way you can control the timing of your stimuli: by modifying the barrier property of each stimulus. But some timing scenarios are best controlled using other methods besides the barrier property, especially when you’re dealing with certain types of static stimuli (like text stimuli). This tutorial will cover a few additional ways…