The first of a series of trainings on NVivo, a qualitative and mixed methods data analysis tool, will be held 2-4 p.m. Friday, Sept. 20, at 301 Hale Library. The presenter is Cynthia Jacobs of QSR International.
This interactive presentation will introduce attendees to setting up a project in NVivo and then using the tool to explore the data. More specifically, this will cover the NVivo workspace; how to create a project; how to import documents (including importation of data through NCapture); how to create memos and annotations; how to identify themes in the data; how to set up data “nodes”; how to apply text analysis tools; and other capabilities (such as using survey data).
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Faculty, staff, and graduate students at K-State have a site license for NVivo, a data analysis tool used with qualitative and mixed methods research. This license gives them free access to this multi-modal data management and analysis tool. Four customized and interactive webinars have been scheduled for Fall Semester 2013.
Continue reading “NVivo 10 software download and customized online trainings available for K-State faculty/staff and graduate students”
Working on ethnographic field data? Just finished conducting a large-scale online survey? Exploring grounded theory? Engaged in action research? Portraiture?
Analyzing data and information from a range of digital data types? Conducting a qualitative meta-analysis?
Working on a qualitative or mixed methods thesis, dissertation, or manuscript?
K-Staters conducting qualitative and mixed methods research and engaging in data analytics now have another software tool to enhance their work.
Continue reading “NVivo site license for K-State personnel and graduate students”
Researchers, faculty, and graduate students are invited to a complimentary presentation on “Using NVivo as a Research Tool” 11 a.m. Friday, Jan. 18 (CST). This tool enables qualitative and mixed-methods research. The presenter, Stacy Penna, is the business development manager at QSR International (Americas) Inc., who wrote her dissertation using NVivo.
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