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!

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.

Sometimes excerpting and coding your qualitative data to maximize their value when integrating with quantitative data and carrying out your qualitative and mixed methods data analysis isn’t as straightforward as it may seem on the surface. At Dedoose we see lots of variation in these practices and are offering up this blog to provide some guidance based on what we know from our academic research and teaching experiences. We’ll hope this is helpful to a wide swath of you out there in the Dedoose user community and the value of context for your data analysis and capitalizing on Dedoose analytic features is crystal clear.

As the new year rings in, we are beginning to update all of the old Dedoose Tutorial videos to include the latest User Interface, and most importantly… CLOSED CAPTIONS!

A handy guide to making the most of your qualitative research data within Dedoose. We go over tricks for importing your data quickly and smoothly, setting up codes, descriptors and media, as well as some tricks and shortcuts to help you get your research data integrated and analyzed using Dedoose Research Software.

Sentiment analysis is a great example of how taking advantage of the Dedoose code weighting/rating system. This is a unique feature of Dedoose that allows you to bring a new, investigator-determined, dimension to your database and opens up a range of awesome analysis perspectives.

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.

So what has your favorite data analysis software provider been up to in regards to new updates lately? Well, we've implemented a couple of performance enhancements, most notably in our import and iconography engines, but we think one new feature will specifically make Dedoose stand out a little more in the research app field.. But you'll have to keep reading to hear what it is!

Here, we explore 3 simple mixed methods approaches to add to your qualitative data analysis within Dedoose. Click "Read More" to learn the details.

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.

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.

Adding a weighting scale to your Codes can provide additional insight to your projects.

An honest review of Qualitative/Mixed-Methods software.

Until the launch of Dedoose, if you wanted to Mac-based qualitative research, you were out of luck. With the 2010 release of Dedoose, that dilemma has become a thing of the past.

Sometimes referred to as mixed methodology, multiple methodology or multi-methodology research, mixed methods research offers you the best of both worlds.

On March 28th we released an updated version of Dedoose that included some huge new features and many enhancements to easy workflow—thanks to everyone who submitted requests and keep them coming as there is never a good idea that gets ignored at Dedoose central.