Tapping Social Media Data with NCapture and NVivo 12 Plus This tool enables various 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). This session will demonstrate how to set up qualitative and quantitative data to be explored and queried how to apply the software on interview, survey, focus group, and similar data how to run various data queries (word frequency counts, text searches, matrix coding queries, matrix queries, proximity text searches, and other forms of text parsing), how to set up qualitative cross-tabulation analyses, how to output a custom codebook, and how to output a report. NVivo 12 Plus is the leading qualitative data analytics tool on the commercial market, and it enables users to create manual codebooks and apply them to various types of digital data. This will be run as an interactive session. This session introduces basics of this qualitative data analysis software: the interface how to start and structure a research project (including a team project) how to ingest various multimedia file types (and curate heterogeneous and semi-structured data) how to ingest some social media contents how to begin coding various media file types, how to run data queries in the tool, and how to back up the. To request an in-person training, please fill out and submit the Mediasite General Request form. This tool also enables the application of psychometrics to the text analyses. This presentation introduces LIWC2015 (Linguistic Inquiry and Word Count) as a low-cost tool that enables the conducting of linguistic analyses on single texts, collections of texts, and text corpora, to better understand latent data. See the KSIS Training page for more information. There is no charge, but registration is required via HRIS. KSIS instructor led training is available on a number of topics for K-State faculty, academic advisors, and staff. K-State Student Information System (KSIS) For more information about the CMS, see the Web Publishing with K-State's Content Management System website. Students who are not university employees can sign up for trainings by emailing Julie Fosberg at Registration is required. Training sessions are offered multiple times per month and K-State employees can register for a training session using HRIS.
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