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Critical Values for Tukey’s Post Hoc Comparison Test

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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.

Code Systems are Serious Business

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Description: At Dedoose, we take the business of developing code systems very seriously, and we aren’t the only ones. A quick Google search for ‘coding qualitative data’ yielded about 1.1M hits and ‘qualitative code system development’ landed me about 12M hits.

Tips on Transcription for Your Qualitative Data Analysis

Description: Transcribing is THE WORST... just the worst. If we had a nickel for every time someone at a conference talked to us about the perils of audio and video transcription…well, we would be very rich.

Break up with Data Dumping! - Reducing Data Dumps in Dedoose

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Description: This article is for all you data dumpers out there. You know who you are. You get all the materials for your qualitative data analysis together and you upload EVERYTHING into Dedoose…all at once.

The Cloud—Or…No, Your Text Analysis Does Not Get Wet When It Rains...

Description: The cloud… When we talk about the cloud, or cloud computing, we are not talking about the weather. While your text analysis in Dedoose is stored in the cloud, we promise it won’t get wet if it rains.

Critical Values for Pearson's r

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

A Researcher’s Guide to Successful Teamwork

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

What Is Qualitative Research?

Description: The fundamental purpose of qualitative research is to better understand why a particular group of people behaves or believes as it does

Giving Dedoose Permission to Run in Flash

Description: Trying to log in to Dedoose but keep getting the note above even after you have updated your Adobe Flash Player? Then you just have to give Dedoose permission to use Flash!

Interrater Reliability – Calculating Kappa

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.

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