Training Course on Qualitative Data Management and Analysis with NVIVO.


Datastat Research Consultancy

Training Course on Qualitative Data Management and Analysis with NVIVO.

10 10 people viewed this event.

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

5 days

Course Objectives

• 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

Course Content

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

Methodology

The instructor led trainings are 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.

Key Notes

i. The participant must be conversant with English.

ii. Upon completion of training the participant will be issued with an Authorized Training Certificate

iii. Course duration is flexible and the contents can be modified to fit any number of days.

iv. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

v. One-year post-training support Consultation and Coaching provided after the course.

vi. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

We also offer online training.

Course Fee: Ksh 80,000, USD 900

Contact Us
Mobile No: +254724527104/ +254734969612

Email Add: [email protected]

Postal Add: 5402-00100

Head Office: Comet House , Along Monrovia Street, Nairobi, Kenya

Visit our website:www.datastatresearch.org

Apply online:https://datastatresearch.org/courses/course-details.php?title=Training%20Course%20on%20Qualitative%20Data%20Management%20and%20Analysis%20with%20NVIVO%20&id=75&category=Research%20&%20Data%20Analysis

To register for this event email your details to datastatresearch1@gmail.com

Register using webmail: Gmail / AOL / Yahoo / Outlook

 

Date And Time

2021-08-02 to
2021-08-06
 

Event Types

 

Event Category

Share With Friends