Model Matters

Model Matters Getting the best results when exploring AI Artificial Intelligence is a revolutionary breakthrough. It can help researchers understand qualitative data in new, interesting, powerful ways. Occasionally, as I develop and refine new features for Transana, I...

Understanding AI – A question of accuracy

AI results based on Large Language Modelsare probabilistic, not deterministic. If you want to use AI to explore your qualitative data, it's very important to understand exactly what this means.Introduction Large Language Models are not intelligent in any recognizable...

What can AI do? What can’t it do?

I received the following question as part of a recent support inquiry:Do we need to manually create collections and keywords ourselves, or can they be suggested via an embedded AI tool?Here is my reply:Yes, you need to create Collections and Keywords yourself. And...

From Summaries to Time-Coded Transcripts: Unlocking Interactive Analysis

Introduction When we ask ChatGPT to summarize a transcript, we get a useful overview of the content — a snapshot of key ideas, but without attention to how those ideas unfold over time. In qualitative data analysis, especially when working with video, time matters....

Prompting Analysis: Comparing AI and Human Thematic Coding in Transana

Introduction When you work with transcripts, interviews, or debates, the amount of text can feel overwhelming. Thematic analysis is the tool that helps researchers make sense of it all. It finds patterns in what people are saying so we can see the big picture. It...

Faster Whisper in Transana 5.30: Accuracy and Processing Speed (3 of 3)

Introduction In the two previous blog posts, we looked at the accuracy of transcripts of four English language media files using the eleven available Faster Whisper transcription models. Two of the four media files featured excellent audio quality and two distinct...
Word Frequencies and Word Clouds

Word Frequencies and Word Clouds

For many qualitative researchers, looking at the specific word choices used by your research participants offers an important first step in exploring your data. … In Transana, the Word Frequency Report allows the researcher to take text or transcribed data, and easily generate a list of words used in your Documents, Transcripts, Quotes, or Clips, along with the number of times each word is used.

Supplemental uses of video research data and truly informed consent

Supplemental uses of video research data and truly informed consent

“The qualities that make video data so significant as data also make it very compelling to share with others when presenting our research. … Research participants cannot give truly informed consent regarding the use of video of discussions and events that have not yet happened, and that they might not be able to fully anticipate or predict.” In this article, I discuss the dual-stage consent process.

Choosing between Transana Basic and Transana Professional

Choosing between Transana Basic and Transana Professional

Recently, some asked me “In an upcoming project I will analyze a huge amount of (approximately 500 clips) of youtube videos and was wondering, which version of Transana I need – also taking into consideration that I barely have funding for technical devices (e.g. software…) at the moment.” Here’s my response.

Does Using Software Cause Shallow Analysis?

Does Using Software Cause Shallow Analysis?

I found this question on an academic web site, ” I wondered if you have used a software in the past that you can recommend in terms of usability, comprehensibility of the analysis, visualization and costs?” When read an early response, I felt compelled to respond.

What is the best way to open code in Transana?

What is the best way to open code in Transana?

In a recent support inquiry, a researcher asked, “what is the best way to open code a transcribed & segmented video? If I create collections or quick clips, they multiply to an unmanageable number and are not organized in a way where I can see how the odes are overlapping, interacting, etc.”

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