INTRODUCTION

Qualitative research is the perfect approach to deepening our understanding of different phenomenon. In the recent past, a large number of qualitative studies have been carried out. This type research produces large amounts data in textual format. Most of this data is collected using field notes and transcripts. In order to draw inferences, a lot of rigorous and time-consuming work.

This course participants to lessen this burden by introducing them to NVivo. NVivo is a software with helpful features such as rich tech capabilities, character-based coding, and multimedia functions that are important for managing qualitative data.

The training targets participants who wish to analyze rich and jam-packed qualitative data including individuals from the following fields: Sociology, Education, Agriculture, Food Security and Livelihoods, Economics, Medical or public health professionals, and Nutrition, among others. No prior Knowledge is required.

DURATION

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5 days

COURSE OBJECTIVES

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• Create a project

• Create and use classifications

• Explore the function of NVivo

• Import and create sources – PDFs, media files data sets, documents, and social media

• Manage your project material with finds and collections

• Undertake deductive and inductive qualitative data coding using NVivo

TOPICS TO BE COVERED

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Module 1: NVivo and qualitative research

• NVivo key terms

• Qualitative Data

• Qualitative vs Quantitative

• Sources of Qualitative data

• The NVivo Workspace

• Types of Qualitative Data

Module 2: Getting Started with NVivo

• Creating a new project

• Importing Documents

• Opening and Saving project

• Working with Qualitative data files

Module 3: Working with Codes and Nodes

• Browsing Nodes

• Creating a linked memo

• Creating Memos

• Creating nodes

• Memos, annotations and links

• Type of Nodes,

Module 4: Summarizing the Data

• Creating Attributes within NVivo

• Getting Results; Coding Query and Matrix Query

• Importing Attributes from a Spreadsheet

Module 5: Visualize your project

• Create models and graphs to visualize connections

• Create reports and extracts

• Display your data in charts