Check our our latest Quick Tips video series in our first ever Resource Round Up!

Learn more here about formatting and several other suggestions we have when preparing to import your data to a Dedoose project. You can import your data from practically any qualitative or quantitative data software on the market or from simple spreadsheets.

Descriptor data are a key mixed method element in a Dedoose project. Here we provide an outline of important characteristics of descriptors and how you can best take advantage of these data in your project as you explore you activities with qualitative content.

We discuss the importance of descriptors and the crucial role they play in qualitative, quantitative and mixed method data analysis. Descriptors are the terms and phrases you will use in Dedoose to map out your research data in an easy to follow design.

Importing data via Excel can be a massive time-saver. Here’s how to get started importing your data.

Dynamic Descriptors can add new levels of data to your data. Here’s how to maximize their use.

Descriptors can be confusing for new researchers. Learn how to get your descriptors up to par!

In this webinar, we discuss what descriptors are, the basics of use, and why they are important to your research.

Blind Coding can add insight to your data, or be used to train new team members. Here are a few ideas to get you started.

Part 2 of our “Descriptors and Your Qualitative Data Analysis” Post Series

Descriptors are powerful. They allow you to break out your qualitative work across demographic and other survey data for greater insights.