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Posts published by “Lila Abreu”

Lila Abreu leads the Support Content Development effort at FindingFive, with a primary responsibility in planning, developing, and writing tutorials for our researcher users. She obtained her Bachelor's degree in Psychology from Princeton University in 2019.

Tutorial: Relative Duration for the Background_Audio Response

FindingFive recently rolled out a new feature that allows you to specify the duration of a background audio response relative to the duration of a stimulus on the same trial (e.g., an audio or video stimulus). This is really useful when your audio or video stimulus files vary in duration, and you would like to record participants adaptively – longer…

Getting Started with FindingFive

Welcome to FindingFive! We are a non-profit organization — run by volunteers — with the goal of giving behavioral researchers the means to quickly and easily conduct studies on the web. To that end, we’ve compiled a list of steps you can take to become familiar with our platform and to jumpstart your research! 1. Complete our crash course. Our…

Tutorial: Running Multi-Part Studies

Want to enroll participants in a longitudinal or multi-day study? In this tutorial, we’ll show you how in three easy steps. Step 1: Create Your Studies The first step is to create one study for each part of the overall experiment. This means that if your experimental design involves collecting baseline data and follow-up data, code separate baseline and follow-up…

Help us build a participant pool by participating in a survey!

FindingFive is working on building a base of participants, so that you can recruit from beyond your own institution’s participant pool very soon! To do that, we need your help! We are interested in understanding what characteristics of a participant pool you’re looking for in your research and have created this survey to guide our recruitment efforts with your input. The survey…

Direct Participant Payments Now in Public Beta

FindingFive now allows you to compensate participants directly and automatically! After you build your FindingFive study, you can recruit participants from anywhere–your hometown or across the world–and pay them all with just a few clicks! It’s simple – you load funds into your account, and we handle the rest. In this tutorial, we’ll tell you everything you need to know…

Tutorial: Conditional Branching

FindingFive supports conditional branching, a study design that allows researchers to branch participants based on their performance in an earlier block. This feature involves a few steps, but once you get the hang of it, can be used to achieve a wide range of dynamic study designs! Examples include terminating a study for some participants sooner than others or branching…

Tutorial: Understanding Your Results

What do all these numbers and letters mean on my results CSV file? In this tutorial, we’ll tell you how to interpret your output! Format CSV results are organized in long format. This means each participant will occupy several rows in your data–one row for each response in your study. If there are multiple responses on a single trial, you’ll…

Qntfy Award: Results are in!

Several months ago, we announced the winners of two FindingFive research awards, generously sponsored by Qntfy! The award recipients have since completed their projects, and we’re excited to share their results. HyeonAh Kang, PhD Candidate (University of Arizona) investigated the benefits of an output activity (OA)–a task in which language learners read or listen to a text containing target vocabulary…

Bonus Payments for MTurk Workers

Hello, FindingFive researchers! We have recently implemented a new feature — you can now use FindingFive to offer bonus payments to your Mechanical Turk participants. Here’s how: 1. From the Session Details page of the session in question, open the Completed Participants tab. 2. Next, use the Worker ID column to identify the lucky participant, and select the associated bonus…

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…