Qualitative Data Analysis with NVIVO 23rd - 27th April in Nairobi

Introduction

 Qualitative data analysis involves the identification, examination, and interpretation of patterns and themes in textual data and determines how these patterns and themes help answer the research questions at hand. Qualitative analysis is Not guided by universal rules and is thus a very fluid process that is highly dependent on the evaluator and the context of the study.

Qualitative researchers now have the option to apply technology tools in their approach for data management and data analysis to ease the complexity of the research process.

This course aims to build the capacity of qualitative researchers in qualitative data management and analysis using NVIVO qualitative software. This software has many features that can assist to simplify the whole process of doing qualitative research

Target Participants

This is a general course targeting participants wishing to analyze the bag of words that is qualitative data. Cross sector professionals who wish to be conversant with the concepts and applications of NVivo Software to analyze qualitative data will benefit from this course. No prior Knowledge is required to follow this course.

Course duration

5 Days

The course objectives

By the end of the course the learner should be able to:

• NVIVO Setup and installation
• Managing imports, codes and nodes
• Enhancing collaborative analysis
• Draw evidence based recommendations from qualitative data
• Create a framework for qualitative data analysis using NVIVO
• Carry out qualitative data analysis using NVIVO
• Processing reports from analysis reports

Course content

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

The 5 day course costs 750$ (75,000 KES), Exclusive of a 16% V.A.T, The Cost includes all training fees, materials, lunch and refreshments as well as certificates and 6 month post training support.

Event Details

Event Date	23-04-2018 8:30 am
Event End Date	27-04-2018 4:00 pm
Cut off date	18-04-2018
Individual Price	750$ Per Delegate
Location	OpenCastLabs Training Facilities, Nairobi Kenya

How to register:

To register, send an email to: outreach@opencastlabs-africa.com You can also visit our website on www.opencastlabs-africa.com  and fill an online application form and submit to us.

Contact Details:
The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 - 00100 , Nairobi, Kenya
Tel: +254 0204409651   Mobile: +254 723870644
Email : outreach@opencastlabs-africa.com

Language

Participants should be reasonably proficient in English.  

Fee Exceptions

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

Accommodation

Accommodation is arranged upon request. For reservations contact us below.

Email: outreach@opencastlabs-africa.com

Payment:

Payment should be transferred through bank 5 days before commencement of training.

Cancellation policy

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
• The appropriate cancellation charge will apply