Data Sets


Conducting a Qualitative Data Analysis in Dedoose: Top 5 Time-Saving Tips for New Users

Description: We asked our user community to share ideas they wished they were aware of when they first started with Dedoose. Here are some of the best we heard.

Storage Metrics: Easily Tracking Team Video and Audio Data in Dedoose

Description: Our new report in Dedoose lets administrators easily track costs of individual users in larger groups.

Descriptors in Dedoose: The How-To Series


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

Descriptors and Your Qualitative Data Analysis – Part 1: The Lingo

Description: It seems that there is often confusion about descriptors – what they are and how to use them in your mixed methods or qualitative data analysis.

Dedoose Reminders to Keep Your Qualitative and Mixed Methods Work Rolling Along

Description: Reminders about the terrific survey importer, quick code widget and a variety of guidance on examining inter-rater reliability in Dedoose. All great stuff for qualitative and mixed methods research and evaluation data analysis.

Inter-Rater Reliability

Description: Inter-rater reliability (IRR) enables the researcher to work toward a more consistent code tree, read this article to learn what is important to keep in mind when assessing IRR and to find some useful resources for further reading.

What is Normalization and How Do We Use It?

Description: In Dedoose, we use a normalization procedure but what does this mean and why do we have it enabled by default? Join us in going over the function and how to use it in the following blog!

A Researcher’s Guide to Successful Teamwork

Description: Teamwork. It often brings to mind motivational posters hanging in old high school locker rooms…

Critical Values for Pearson's r


Description: Given an r and degrees of freedom, one is able to determine if r is significant at a given level.

Critical Values for Tukey’s Post Hoc Comparison Test


Description: A given result is significant if it is equal to or greater than the value found at the appropriate degrees of freedom and number of groups.

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