Thursday, June 6, 2024
Monday, January 15, 2024
Thursday, December 17, 2020
Resources: Data transcription
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I Wanted to share a resource I've created on my blog at https://caqdasblog.wordpress.com/2020/12/07/auto-creating-correcting-and-coding-transcripts-from-microsoft-teams-or-zoom-in-caqdas-software-atlas-ti-nvivo-or-maxqda/
This takes you step-by-step through the process of creating, downloading, cleaning and then importing automated transcripts from interviews done via MS Teams or an institutional Zoom account, as well as uploading recordings from digital recorders to MS Stream for auto-transcribing.
There's then details of how to clean the VTT file ready for import into software - with an online page as well as code in github for local use and further development.
And then detailed step-by-steps of how to import and synchronise in three leading CAQDAS packages: MAXQDA, ATLAS.ti and NVivo for playback and correction including slowing down playback etc. This also opens up the opportunity to integrate initial analysis through annotating the text and starting coding while correcting. Furthermore with the transcript synchronised you can revisit the audio when viewing the text supporting much closer engagement with intonation, emotion and more.
There are also linked pages with detailed video step-by-steps for each package.
Please share / tweet / send on to colleagues and students - the pages will be updated as software changes occur (e.g. new importers coming in ATLAS.ti and impending changes to stream and teams),
This makes it MUCH faster to go from interview > analysis: correcting a synchronised transcript takes around 1.5-2 x the length of the recording (i.e. an hours recording can be corrected in 1.5-2hrs) compared to typical 4-6x or even up to 8x the recording length for manual transcription. The opportunity to engage with analysis while transcribing through having a memo open and linking that, making annotations and beginning coding also brings to the fore that transcription is an analytical process.
Steve Wright
Dr. Steve Wright
Qualitative Analysis Consultant and Trainer,
Faculty of Health & Medicine Learning Technologist
Lancaster University, UK
This takes you step-by-step through the process of creating, downloading, cleaning and then importing automated transcripts from interviews done via MS Teams or an institutional Zoom account, as well as uploading recordings from digital recorders to MS Stream for auto-transcribing.
There's then details of how to clean the VTT file ready for import into software - with an online page as well as code in github for local use and further development.
And then detailed step-by-steps of how to import and synchronise in three leading CAQDAS packages: MAXQDA, ATLAS.ti and NVivo for playback and correction including slowing down playback etc. This also opens up the opportunity to integrate initial analysis through annotating the text and starting coding while correcting. Furthermore with the transcript synchronised you can revisit the audio when viewing the text supporting much closer engagement with intonation, emotion and more.
There are also linked pages with detailed video step-by-steps for each package.
Please share / tweet / send on to colleagues and students - the pages will be updated as software changes occur (e.g. new importers coming in ATLAS.ti and impending changes to stream and teams),
This makes it MUCH faster to go from interview > analysis: correcting a synchronised transcript takes around 1.5-2 x the length of the recording (i.e. an hours recording can be corrected in 1.5-2hrs) compared to typical 4-6x or even up to 8x the recording length for manual transcription. The opportunity to engage with analysis while transcribing through having a memo open and linking that, making annotations and beginning coding also brings to the fore that transcription is an analytical process.
Steve Wright
Dr. Steve Wright
Qualitative Analysis Consultant and Trainer,
Faculty of Health & Medicine Learning Technologist
Lancaster University, UK
Saturday, February 15, 2020
Inner-Mongolia
Song: 永远的赞歌 （Forever Inner-Mongolia）
From: https://images.chinahighlights.com/allpicture/2015/04/d032d146dc784827a749d016.jpg
From: http://xinhua-rss.zhongguowangshi.com/232/7080100254426340947/4209029.html
Tuesday, December 31, 2019
EDST 697
Course reflection:
Renee Smith:
https://rjrjsmith09.wixsite.com/grant/post/grant-class-reflections
Brenda Geib-Swanson: Click Here
Christi Martzall:
https://www.youtube.com/watch?v=m8EyFJC-r-o
Video introduction of the proposal:
Dru Lindsey:
https://t2tbsu.blogspot.com/2020/03/dru-lindsey-1081-teke-burton-drive.html
Christi Martzall:
https://www.youtube.com/watch?v=nAkmj-miHbI
Proposal: https://christi-martzall.webnode.page/written-proposal/
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