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Content Analysis

Introduction to Content Analysis

Software for data analysis

UNT's Data Science and Analytics Services supports students, faculty, and administrators in acquiring data and performing statistical analysis. As stated in their FAQs, they do not provide help with course assignments, and they do not teach basic statistics. In addition, faculty and graduate students in any department can seek assistance with statistics from the College of Education's Office of Research Consulting.

A number of software packages are available to UNT students, many through the Virtual Statistics Lab, through which UNT faculty and students can log in to a server remotely to use the software. Among these is NVivo, which is commonly used for tagging for content analysis (qualitative data analysis). 

For help using NVivo, see the official NVivo documentation, including video tutorials, and video tutorials available through Linkedin Learning.

If you want to do sentiment analysis rather than any manual tagging, consider RStudio, which is also available through the Virtual Statistics Lab.  There are lexicons available for sentiment analysis of English-language texts.

Some other options for text analysis:

  • Voyant Tools can be used online through a web browser
  • TAPoR is a directory of tools for text analysis

Sharing your dataset

While copyright or licensing restrictions will likely prevent you from sharing the collection of documents that you study, you can still share your list of sources, codebook, scripts, and other data that would allow another researcher to replicate your findings. The UNT Libraries can help you: see our information on research data management.

For more information

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