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Using Notes from Evernote in HyperRESEARCH

Researchers often use the Evernote application to take notes, make observations, and record other information that can be used as source data in a qualitative study. You can easily export selected notes from Evernote as documents that can be used in HyperRESEARCH.

  1. In Evernote, select the notes you want to bring into HyperRESEARCH:
    Selecting notes in Evernote
  2. Choose File > Export. (On Mac OS X, choose File > Export Notes.)
    Choose an HTML export format
  3. Choose either “Export as a single HTML Web Page” or “Export as multiple Web Pages”.
    • Exporting as a single page puts all your selected notes into a single file. If the notes are closely related, and you want to analyze them as one file, choose this option.
    • Exporting as multiple pages puts each note into its own file. If you prefer to analyze each note as a separate source, choose this option.
  4. In HyperRESEARCH, you can code a single source file in more than one case, so even if you export as a single file, you can use the notes in the file in several different cases.
  5. Click “Export” (on Windows) or “Save” (on Mac OS X) to export the file or files.
  6. You can open the exported files in HyperRESEARCH by choosing Sources > Open Text Source. However, the exported HTML file has some extra style information that isn’t used by HyperRESEARCH and that may not display properly.

    You can obtain a better result by opening the exported HTML file in Microsoft Word, then choosing File > Save As saving it as a Word file (.docx). You can then open this file in HyperRESEARCH and code it as you would any other source file.

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Do You Know...

... that you can change the length of the segment that HyperTRANSCRIBE plays? Choose the Preferences menu item, and change the number of "Seconds to Play When Advancing". From now on, HyperTRANSCRIBE will play a segment of the new length when you press Shift-Space or when you press Tab to advance to the next segment.

Adjusting the segment length can help make your transcribing process more efficient. For example, if you often need to replay the segment before advancing to the next, try making the segment length shorter so that you can transcribe an entire segment in one pass. On the other hand, if you find it very easy to finish transcribing each segment without replaying it, making the segment length longer may improve your rate.
Learn More About HyperTRANSCRIBE