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The computer "classifies" the text to the various categories (nodes) created by the human researcher. This then is a kind of semi-supervised "machine learning" based on the "training set" of pre-coded data (by human researchers). The autocoding by pattern tool feature is based on machine pattern recognition and emulation. The computer is applying an observed pattern to the source data in a fairly limited way.Ī machine classifier. It does not learn and retain in a conscious way in the way that humans conceptualize learning and memory.
NVIVO 10 TRAINING SOFTWARE
Also, the software does not "remember" or have "memory" of the coding. This approach is limited to the examples created by the human coder. The special requirements tab can be completed when you book your place.NVivo 10 (and 11 and 12), in the coding by existing pattern, does *not* add new nodes to the pattern. If you feel you will experience any difficulties participating, please let us know via the ‘special requirements’ tab, providing as much information as possible. The following table shows a summary of what is needed to participate in the course. Visit our Qualitative Research Resources page for links to online learning objectives, video and materials from our occasional NVivo Seminars. The Researcher Academy's online courses and resources workspace has a wealth of resources that may be useful to your research. There are no training points associated with courses run by the Researcher Academy. Please note, attendances for courses will be recorded. The 'pass' mark is 70%, you may take the assessment as many times as you like. If you would like to gain Researcher Academy training point/s for this course you must complete the short assessment tasks associated with it.Ĭompletion of the assessment is optional for students based at our UK and Malaysia Campus'. Students based at our Ningbo China Campus should not complete the assessment. As this course provides no training on understanding the nature or analysis of qualitative data, it is recommended that you attend other courses specially designed for those purposes, such as, the Qualitative Methods Tutor and Research Interview Skills. To gain Researcher Academy training points for this course you will need to complete a multiple choice assessment.
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Researchers across all 3 campuses can self-enrol on this course in Moodle by following this link: You may access the course as often as you like until the end of the academic year. Process: This is a standalone (self-study) online course. This course is delivered entirely online via Moodle and is self-study. have the basic skills to begin using NVivo® with your own data and take advantage of online support resources.have considered your next step in your NVivo® training.be able to list some of the advantages and limitations of NVivo®.The aim of this course is to prepare you to use the basic functions of the software NVivo®. Please note the course provides no training in the analysis of qualitative data. Embedded content is used with their permission.
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This course contains links and external content from QSR International, the makers of NVivo®. It will also allow you to familiarise yourself with the workspace and language used as well as providing the opportunity to begin practicing using NVivo®. The course will cover some of the strengths and limitations of using the software and its main functions. ĭuring this course you will be introduced to the software NVivo® and some of its features. You may also find their YouTube video's useful. Meanwhile please do consult the NVivo v12 tutorials provided by the originator at. Please note, the skills addressed in this online course are appropriate for NVivo9® and NVivo10®. We will be curating support resources for the latest version (12) and updating the online course later this year. Whether you are based in the UK, Malaysia or China this course will take you through some of the tools of NVivo® and why you might (or might not!) want to use them. This course is for you if are new to qualitative research and curious about NVivo® a widely used computer assisted qualitative data analysis software package which provides a potentially useful tool for the management and analysis of qualitative research data. Target Audience: mid stage postgraduate research students (especially off-campus) and early career researchers. This standalone online course is run by the Researcher Academy