Qualitative Data Management And Analysis With NVIVO Course

THIS COURSE IS SUITABLE FOR PEOPLE WORKING IN:

Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugees/displaced

Introduction

This course is designed for participants who plan to use NVivo for the management, coding, analysis and visualisation of qualitative data. The course’s content is spread over four modules and includes setting up an NVivo project and organising data; coding data, working with case and attributes; seeking patterns and identifying relationships across data, and presenting findings using graphic displays. The course is entirely hands-on and uses sample data to learn NVivo’s basics and advanced features.

 Who should Attend?

Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyze data with NVIVO

Requirements

This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts.

Duration

5 Days

Course Objectives

Understanding Qualitative Research

• ·Qualitative Data
• ·Types of Qualitative Data
• ·Sources of Qualitative data
• ·Qualitative vs Quantitative
• ·NVivo key terms
• ·The NVivo Workspace

Preliminaries of Qualitative data Analysis

• ·What is qualitative data analysis
• ·Approaches in Qualitative data analysis; deductive and inductive approach
• ·Points of focus in analysis of text data
• ·Principles of Qualitative data analysis
• ·Process of Qualitative data analysis

Introduction to NVIVO

• ·NVIVO Key terms
• ·NVIVO interface
• ·NVIVO workspace
• ·Use of NVIVO ribbons

NVIVO Projects

• ·Creating new projects
• ·Creating a new project
• ·Opening and Saving project
• ·Working with Qualitative data files
• ·Importing Documents
• ·Merging and exporting projects
• ·Managing projects
• ·Working with different data sources

Nodes in NVIVO

• ·Theme codes
• ·Case nodes
• ·Relationships nodes
• ·Node matrices
• ·Type of Nodes,
• ·Creating nodes
• ·Browsing Nodes
• ·Creating Memos
• ·Memos, annotations and links
• ·Creating a linked memo

Classes and summaries

• ·Source classifications
• ·Case classifications
• ·Node classifications
• ·Creating Attributes within NVivo
• ·Importing Attributes from a Spreadsheet
• ·Getting Results; Coding Query and Matrix Query

Coding

• ·Data-driven vs theory-driven coding
• ·Analytic coding
• ·Descriptive coding
• ·Thematic coding
• ·Tree coding

Thematic Analytics in NVIVO

• ·Organize, store and retrieve data
• ·Cluster sources based on the words they contain
• ·Text searches and word counts through word frequency queries.
• ·Examine themes and structure in your content

Queries using NVIVO

• ·Queries for textual analysis
• ·Queries for exploring coding

Building on the Analysis

• ·Content Analysis; Descriptive, interpretative
• ·Narrative Analysis
• ·Discourse Analysis
• ·Grounded Theory

Qualitative Analysis Results Interpretation

• ·Comparing analysis results with research questions
• ·Summarizing finding under major categories
• ·Drawing conclusions and lessons learned

Visualizing NVIVO project

• ·Display data in charts
• ·Creating models and graphs to visualize connections
• ·Tree maps and cluster analysis diagrams
• ·Display your data in charts
• ·Create models and graphs to visualize connections
• ·Create reports and extracts

Triangulating results and Sources

• ·Triangulating with quantitative data
• ·Using different participatory techniques to measure the same indicator
• ·Comparing analysis from different data sources
• ·Checking the consistency on respondent on similar topic

Report Writing

• ·Qualitative report format
• ·Reporting qualitative research
• ·Reporting content
• ·Interpretation

Closure

Methodology

This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued with a certificate of participation.

Training Venue

The training is residential and will be held at the Livecode Training Centre in Westlands, Nairobi, Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

Accommodation

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Mobile Number: +254 725 771 853

Training Fees

The course fees is KES 70,000.00 or USD 1,000.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.

Payment

Payment should be transferred to Livecode Technologies account through bank on or before the course starting date. 

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

Cancellation Policy

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

Tailor- Made

This scheduled course can also be tailored for your organization. To find out how our tailor-made training can help your organization, call our team on

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.