The NVivo powerful This coding data has attracted the interest of more than 200,000 academics and researchers who use NVivo2 until 2004.
NVIVO 12 COLLABORATION HOW TO
Therefore, the key to being able to present data in the form of tables, graphs, diagrams, and models for qualitative researchers using NVivo is how to code research data sources.
NVIVO 12 COLLABORATION SOFTWARE
The naming of NVivo indicates that the main function of this software is to perform data coding effectively and efficiently. based on real (live) data, experienced by participants in the field.
Since 2002, NUD * IST has been replaced by the name NVivo N 'which stands for NUD * IST and' Vivo 'is taken from the term grounded theory research expert (Strauss, 1987 Glasser, 1978), which is' in-vivo' which means doing coding. As a result, more than 100,000 people in 70 countries in 2000 had N5 licenses or the 5th version. Until 1995, NUD * IST was very developed in the United States and United Kingdom, especially after Lyn Richards and Tom Richards founded QSR International and collaborated with SAGE Publications. At first NVivo was named NUD * IST (Non-Numerical Unstructured Data Indexing Searching and Theorizing). NVivo was created in 1981 by programmer Tom Richards. LP2M will soon carry out qualitative data analysis training using this NVivo for UM researchers, lecturers, and students. Thus, qualitative researchers are required to have the skills to use this NVivo to help analyze data effectively and efficiently. Researchers can also present the results of data analysis using diagrams and graphs for the purposes of thematic, content, comparative analysis, and even analyzing associative, one-way, and symmetrical relationships. With NVivo, qualitative researchers as well as mixed-methods can efficiently and effectively perform analytical coding of data, both qualitative data and quantitative data that have been processed in the excel program and / SPSS. NVivo also provides the widest possible space for the research team to work in NVivo. NVivo is effective for data triangulation and researcher triangulation.
NVivo ensures that data is sourced from the field. Therefore, NVivo helps to separate data sourced from informants, researchers, as well as secondary sources (books, research reports, historical documents, journal articles, website content, news on line, conference proceedings, memos, field notes, bibliographic annotations, and even the researchers' daily journals stored in NVivo). This challenge is quite difficult to overcome if the researcher analyzes the data manually. The biggest challenge for qualitative researchers is subjectivity ( researcher-biased), validity, and reactivity. NVIVO OVERCOMES SUBJECTIVITY IN QUALITATIVE RESEARCH The participants are lecturers of the Indonesian Literature Department, Faculty of Letters, State University of Malang. Revisions to the training materials and presentation strategies were retried on participants with similar fields of science, namely in the Indonesian Literature Department on Jand will be continued on Jwith 20 participants participating. This training is specifically for the internal team in the context of testing materials and training presentation strategies before LP2M conducts training for UM lecturers and also people in need.
NVIVO 12 COLLABORATION PLUS
The Institute for Research and Community Service (LP2M) conducted qualitative data analysis training using the NVivo 12 Plus application for the LP2M Internal Team, namely for the Heads of the Research Center and Development Team, on 27- at the Graha Rectorate Building, 1st floor, followed by 31 participants.
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