Description: Reliability is the “consistency” or “repeatability” of your measures (William M.K. Trochim, Reliability) and, from a methodological perspective, is central to demonstrating that you’ve employed a rigorous approach to your project.
Description: As a follow up to our last post on building solid and useful code systems, we want to help bring everyone up to speed on another dimension you can bring to your qualitative research from a mixed methods perspective—code ratings/weights.
Description: Qualitative data allow us to learn about the rich, nature, complex, and contextualized ways in which our research participants experience their lives…the ‘how’ and ‘why’ of life, beyond the ‘what?’ So, simply, context is king.
Description: Hey there Dedoosers! In this article we’re going to go over the demo project.
Description: The concept of mixed methods has begun to take root around the world. There are arguments on both the qualitative and the quantitative side of the aisle when it comes to mixed methods...
Description: Teamwork. It often brings to mind motivational posters hanging in old high school locker rooms…
Description: Given the degrees of freedom and an *X²* value, one can use the table below to find the statistical significance for a given result.
Description: Hi Dedoosers, today we are bringing you an article expanding on a pretty crazy feature added in Dedoose 8 that you may not be making the most of. We are talking about creating Data Set filters via the Excerpts tab!
Description: A given *t* is statistically significant if it is equal to or greater than the value in a row in the following table for the corresponding degrees of freedom.
Description: 5/19/2015 Teamwork is central to our research souls here at Dedoose and, accordingly, facilitating collaborative research will always be central to our mission.