RaceQs

RaceQs

RaceQs is a tool for quantitative researchers to easily create online surveys and experiments. It allows researchers to easily build studies using a drag-and-drop interface, without needing any technical programming skills. RaceQs guides users through the process while automatica
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surveys experiments quantitative-research drag-and-drop no-code

RaceQs: Easy Online Survey and Experiment Creation

Create online surveys and experiments with RaceQs, a tool for quantitative researchers. Drag-and-drop interface and no technical programming skills required.

What is RaceQs?

RaceQs is an online software that allows quantitative researchers and academics to easily create and conduct online surveys, questionnaires, and experiments without needing any technical or programming skills.

It provides a user-friendly drag-and-drop builder interface that walks researchers step-by-step through the process of creating studies. Researchers can add and customize a variety of question types, insert images and videos, create complex survey logic like skip patterns, piping, and more.

One of the key features of RaceQs is automatic survey randomization and counterbalancing. Researchers can set up multiple versions or conditions of their study, and RaceQs will automatically assign respondents randomly to different conditions while evenly distributing them.

It also handles all the technical details like survey hosting, respondent access control, data storage security, and data export in a wide range of formats compatible with analysis software like SPSS and R. This allows even researchers without any IT support to run reliable online studies with large international samples.

RaceQs empowers researchers to create robust, customizable studies on their own without needing IT skills or support. Its user-centric design philosophy focuses on making advanced research simple and easy to execute for any researcher.

RaceQs Features

Features

  1. Drag-and-drop interface for building studies
  2. Supports surveys, experiments, and implicit measures
  3. Randomization and counterbalancing of conditions
  4. Built-in distribution and data collection
  5. Analytics and data visualization
  6. Collaboration tools

Pricing

  • Freemium
  • Subscription-Based

Pros

No programming required

Intuitive and easy to use

Automates technical details

Good for beginners

Great support and community

Cons

Can be limiting for more advanced users

Less customization options

Must pay for some advanced features

Data privacy concerns with cloud-based service


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