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This lets you to work on a textual and on a visual level, allowing for an “un-mixed” approach to coding.Īlso, there is no trade-off between preparing a transcript and writing comments on your video data since there is an additional quotation layer.

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Because of this, you can code both independently from each other. In ATLAS.ti, the transcript is a separate document, which can be viewed side-by-side with the video file. Video and transcript are linked via time marks and can be played synchronously.

If a transcript for your video is available, you can import it from other sources (F4 / F5 / Transana) or create one in ATLAS.ti directly. It only allows you the basic segmentation of the video without permitting in-depth analysis of the video material directly. That program allows you to roughly code interesting segments but does not allow you to fine-tune your selection or modify it. The possibility of coding video data in MAXQDA is very limited. In MAXQDA and NVivo, the logic of working with video data is mainly based on preparing a transcript. As you code, quotations are automatically created. It is also easy to code video data directly. As such, when working with video data, it is quite useful to start with the quotation as a first unit of analysis, then enter short titles for each segment you think is relevant, and finally describe and interpret the segment before you code it.

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Video data is complex – it is sometimes difficult to immediately decide how to code a segment. The same unique architecture of ATLAS.ti that lets you start building a project based on quotations also works when it comes to coding video data. Quotations are a tremendous QDA resource because they invite discrete interaction with text or multimedia segments in a way that’s only available in ATLAS.ti.” Read more: The Life Of An ATLAS.ti Quotation/Maietta_2009-05_6-3.pdf. If you asked him why he likes to use ATLAS.ti for his own qualitative research work, his response is: “The power of the quotation. The following paper, written by Trena Paulus and Jessica Lester (2014), offers an example for how the Quotation Manager in ATLAS.ti was used for a discourse analysis: /opus4-tuberlin/frontdoor/index/index/docId/4426.Ī more technical take on the topic can be found in an article in our library written by Ray C.

If appropriate for the chosen methodological approach, you can even begin to code the data to analyze it on a different level. Based on these you can begin to create network views as a way to visualize your data interpretation and the connections that you identified in the data. These are the above mentioned hyperlinks. You can even begin to link segments to each other within or across documents. This allows you to enter a short title for each quotation and write a longer descriptive comment or interpretation. This allows you to work on the data level before you move on to a more abstract conceptual level. In ATLAS.ti, the smallest unit is called a quotation – a selected data segment.

To learn how to put ATLAS.ti to good use in YOUR research, visit our Research HubĪnother major difference between programs come in the unit of analysis.

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This flexible work flow cannot be found in any other software package. This is also the case for dragging code from other places like the navigator on the left hand side, or from the Code Manager. If you drop one code on top of another, the two will be exchanged. By holding down the Ctrl-key, you can copy the code while still leaving it attached to the segment it is associated with. You can easily grab it and drag it to another segment, thereby moving the code. However, there is more you can do with codes in the margin. If you click on a code, the corresponding data segment is displayed the same way in all programs. This hyperlink feature is unique to ATLAS.ti. Jump directly to the linked segment and even open linked documents side-by-side. If you click on a hyperlink, the linked data segment is displayed (or even played, in case of audio and video data). And all objects in the margin area are interactive and have their own context menus. links between data segments) and attached memos in addition to codes. The margin area is a significant part of ATLAS.ti – not merely a display for coding stripes, as found in NVivo. If you start ATLAS.ti and load a document, one immediate visible difference is the ATLAS.ti margin area.