Import text data from one document, that is automatically coded and split into multiple cases.Ĭreate new texts, tables, notes, summaries, and more directly in MAXQDA. from bibliographical software packages Endnote, Mendeley, Citavi, and Zotero. Import text and PDF articles, as well as meta information about articles, textbooks, etc. Import photos and images (png, jpg, gif, tif). Autocode video comments with number of replies. YouTube: Import video comments and video transcripts directly from YouTube. Automatically code tweets with #hashtags and Filter and statistically analyze tweets in new interactive table. Detailed search for tweets, authors, #hashtags languages, locations, etc. Twitter: Import tweets directly from twitter. Import webpages as text, image or PDF documents using the free Google Chrome Addon “MAXQDA Web Collector”. Table view includes common table functionality: sort alphabetically, hide columns, edit or enter text into cells. Import survey data directly from SurveyMonkey account with automatic precoding of open-ended answers and assignment of statistical information. Import survey data from excel with automatic precoding of open-ended answers and assignment of statistical information. Video Windows/Mac: MP4, MOV, MPG, AVI, M4V, 3GP, 3GGP MAXQDA Media player displays waveform, allows analysis down to 10th of a second. Import media files from common file formats into MAXQDA products. Import focus group transcripts or other multi-speaker texts with automatic speaker detection & speaker based analysis tools. Import transcripts that were created with other software programs (manually or by automatic text recognition). Import PDF files in their original format. The use of this software did not only facilitate narrative analysis whilst dealing with a large dataset and different data sources, but also supported my engagement with researcher reflexivity, thereby legitimizing further the rigour of this narrative methodology.Import and edit text documents (.docx. In particular, I will unpack my experience of doing narrative analysis through MAXQDA, a Computer Assisted Qualitative Data Analysis (CAQDAS) Software. This article extends the epistemological debates which have characterised narrative inquiry over the past decade and puts the spotlight on a specific method, narrative analysis, the process of writing stories as an approach to data analysis and representation of research findings. Most importantly, there is a growing body of literature which specifically addresses methodological issues related to applied linguistics (e.g., Barkhuizen, 2013 Bell, 2002, 2011 Benson, 2018). Despite some struggles in acquiring full recognition, narrative inquiry is now well-established in applied linguistics, especially within the domain of language learning and teaching.
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