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Oct. 26: Getting Started w/ ETDR Templates

""Are you a master’s or doctoral student? If so, it is likely that you will be conducting research as part of your studies. At some point, you may be writing a thesis, report, or dissertation to record your work to share with the profession and the world. K-State has made available templates (in MS Word and LaTeX) for students to use, in order to ensure that they include all required information in the proper formatting. “Getting Started with ETDR Templates” is an online training on Zoom from 1-2:30 p.m., Monday, Oct. 26.  

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Sept. 28: Getting Started w/ ETDR Templates

""Are you a master’s or doctoral student? If so, it is likely that you will be conducting research as part of your studies. At some point, you may be writing a thesis, report, or dissertation to record your work to share with the profession and the world. K-State has updated templates (in MS Word and LaTeX) for students to use, in order to ensure that they include all required information in the proper formatting.

“Getting Started with ETDR Templates” is an online training on Zoom from 1 – 2:30 p.m. Monday, Sept. 28.  

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Aug. 14: Advanced NVivo 12 Plus

NVIVO“Advanced NVivo 12 Plus/NVivo” is a follow-up presentation from the “Introduction to NVivo 12 Plus/NVivo” offered earlier this term. This training will be held 1:30-3:30 p.m. Friday, Aug. 14, online via Zoom.  (The link will not be live until the event.)

This presentation will address the following:

  • Any extant questions from the basic introduction of NVivo 12 Plus
  • How to set up qualitative data to be explored and queried
  • How to use the software on interview, survey, focus group, and similar data
  • How to query the collected data in an NVivo project (word frequency counts, text searches, matrix coding queries, matrix queries, proximity text searches, and other forms of text parsing)
  • How to create data visualizations (word trees, word clouds, dendrograms, ring lattice graphs, sociograms, and others) (for analysis and presentations)
  • How to conduct four types of auto-coding (by extracted themes and subthemes, by sentiment analysis, by structured data, and by supervised machine learning based on existing human coding)
  • How to set up a qualitative cross-tabulation analysis
  • How to output a basic report (including a custom codebook)

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