NVivo Interview Coding: A Comprehensive Guide

Introduction:

As researchers, we often find ourselves working with large amounts of unstructured data, including interviews, focus groups, and social media posts. Analyzing this type of data can be a time-consuming and laborious task, but with NVivo, a software program designed specifically for qualitative and mixed-methods research, the process becomes much easier.

Collaborating with Colleagues:

When working with colleagues who are using different versions of NVivo, it's essential to ensure that everyone is on the same page. If you're not sure which version to use, NVivo provides general recommendations. For instance, if your colleagues are already using NVivo R1, it's recommended to upgrade to the latest version. However, if they're still using NVivo 12, there are licenses available for this previous version.

File Types:

NVivo is compatible with various file types, including *.nvpx (for Mac) and *.nvp (for Windows). This allows researchers to easily import and export their data, making the analysis process more efficient.

Features:

Some of the key features that make NVivo an excellent tool for interview coding include:

* Simple text analysis queries: Perform searches or analyze word frequencies in seven languages, including English, French, German, Spanish, Portuguese, Japanese, and Simplified Chinese.

* Citation import: Import citations from popular bibliographic management software like EndNote, Mendeley, Zotero, and more.

* Note capture: Capture notes and captures from Evernote for field research or literature reviews.

* Social media data capture: Use the NCapture browser plug-in to capture social media data from Facebook and Twitter.

* Playback ability: Play audio and video files to transcribe interviews directly in NVivo.

Benefits:

NVivo's versatility and ease of use make it an excellent tool for researchers. With its advanced features, you can analyze unstructured text, audio, video, or image data, including interviews, focus groups, surveys, social media, and journal articles. As of July 2014, NVivo is available for both Windows and Macintosh operating systems.

NVivo interview coding is an efficient way to analyze large amounts of qualitative data. By understanding the different versions of NVivo and its features, researchers can work together seamlessly and achieve accurate results. Whether you're a seasoned researcher or just starting out, NVivo is an excellent tool to have in your research toolkit.

Nvivo interview coding