Study-Unit Description

Study-Unit Description


CODE DOC6051

 
TITLE Introduction to NVivo for Qualitative Data Analysis

 
UM LEVEL D - Doctoral Workshops/Symposium

 
MQF LEVEL Not Applicable

 
ECTS CREDITS Not Applicable

 
DEPARTMENT Doctoral School

 
DESCRIPTION Qualitative data analysis can be a very daunting task without the help of any analysis software. NVivo™ is a software application that simplifies qualitative data analysis, supporting text, multimedia, pictures, and PDFs; open-ended surveys from Excel and Survey Monkey among the many more data formats. NVivo™ supports a range of inductive and deductive methods for qualitative data analysis such as thematic and content analysis, within and cross-case analysis and many more. The workshop covers the key steps involved in qualitative data analysis using QSR NVivo™ starting with data types and the creation of an NVivo™ project, the uploading of data, data coding, code categorizations, query building and interpretation of output from queries. No prerequisite knowledge of NVivo™ is required.

Outcomes:

By the end of this workshop, doctoral researchers should:

- locate the diverse features and capabilities of NVivo™ Qualitative Data Analysis Software (CAQDAS)
- understand the nature of the different data types that call for qualitative analysis and how NVivo™ can help in this process
- undertake coding on text data using NVivo™ to create a structure of nodes
- keep memos and a journal during NVivo™ work
- build and conduct queries using NVivo™’s query generating capabilities
- understand the output of NVivo™ queries
- construct models from coded data
- create other forms of data analysis output such as word clouds and cluster analysis
- understand the limitations of NVivo™ software as well as the precautions analysts need to adopt during the use of NVivo™

 
ADDITIONAL NOTES This is a bring-your-laptop workshop. The software can be downloaded for a 14-day trial period from www.qsrinternational.com. A student licence can be purchased from the University of Malta IT Services.

Timetable Details - Please click here for further details.

 
STUDY-UNIT TYPE Workshop

 
METHOD OF ASSESSMENT
Assessment Component/s Sept. Asst Session Weighting
Attendance No 100%

 
LECTURER/S Emanuel Said

 

 
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years.

https://www.um.edu.mt/course/studyunit