Working With Transcribed Data
Working With Transcribed Data
This course will follow on from the popular Sage Campus course: Do Your Interviews, but learners can also take it as a stand-alone course. The course will provide a clear understanding of the skills needed to manage and sort transcribed data collected from interviews, surveys, and focus groups.
This course will help learners to:
Understand why it’s important to have a clear overview of transcribed data before coding
Devise and apply a coding frame to code transcribed data
Apply emergent coding to interpret transcribed data
Use software to code and analyze data
Analyze and interpret transcribed data
Select the most appropriate coding method for transcribed data
Language: English
Time to complete: 2 hours
Level: Beginner
Instructor: Dr Helen Kara
How to access: Sage Campus is a digital library product. If you are a librarian, find out how to get Sage Campus for your university. If you are faculty, a researcher, or a student, recommend Sage Campus to your library.
If you've collected your data through interviews or focus groups, you’ll have recorded discussions to transcribe. Transcribing means converting recorded audio (or video) data into text. When you've transcribed your data, you’ll need to analyze that data. There are several steps to this process and it's important to work through them systematically. The first step is to get to know your data, which is the focus of this first module.
Once you’re familiar with your data, it’s time to sort your data so you can better understand them and analyze them. One way to do this is using a coding frame. This module will explain what a coding frame is, how to create and test a coding frame, and how to apply a coding frame to your data.
Emergent coding is very different from using a coding frame. You will use emergent coding when your question is broad and exploratory as a way to extract the most information from your data. This module will explain what emergent coding is and show you how it’s done. Then you will have the chance to try out emergent coding for yourself.
Throughout this course, we’ve looked at coding data manually, and while these techniques are effective, there’s also software available to help with the process. This optional module will show you how to use two such software, Delve and NVivo, to support coding and evaluation of transcribed data.
You’ve learned how to code your data, now it’s time to move on to your analysis. We’ll discuss the relationship between analytic work and writing, and give you an overview of the process of writing your findings up as an assignment.
This course is aimed at undergraduate social science or digital humanities students dealing with transcribed data, and graduates who may wish to refresh key skills.
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Provides a clear understanding of the skills needed to manage and sort transcribed data collected from interviews, surveys, and focus groups.
Students, researchers and faculty can try all Sage Campus courses today by signing up for a 7-day free trial below. 30-day institutional trials are set up via your institution’s library, so recommend us to your library to request a campus-wide trial.
Dr Helen Kara FAcSS has been an independent researcher since 1999 and an independent scholar since 2011. She writes about research methods and research ethics, and teaches doctoral students and staff at higher education institutions worldwide. Her books include Qualitative Research for Quantitative Researchers and four books in the Sage Little Quick Fix series. Helen also writes comics and fiction. In 2021, at the age of 56, she was diagnosed autistic. Her neurodiversity explains her lifelong special interest in, and ability to focus on, words, language, and writing.