Research Approaches, Data Management & Analysis for Quantitative and Qualitative Researches using Stata & NVivo

10 days
Company Training


Course Overview

This ten day training course seeks to enhance the skills of participants using both qualitative and quantitative research approaches when undertaking any projects, programmes, research, and feasibility studies. Taken at the Versed Training Facility in Nairobi, the training will cover ways to undertake research with a particular attention to collecting and analysing both qualitative and quantitative data, the use of Information Technology for data collection (Mobile Based Data Collection using ODK), data management analysis, and interpretation of empirical results. The focus of this training is therefore to enable participants to learn how to use Stata for qualitative data management and analysis, and NVivo software for qualitative data management and analysis. 

Organisations of all sizes and scales, across nearly every industry, now utilise systems and processes that automatically aggregate and collect vast amounts of data. But for this information to have any real value that employers can use to gain a competitive advantage, companies need professionals who are capable of analysing and interpreting it in meaningful ways, creating a high demand for individuals with SPSS and NVivo skills. If you're looking for a career that comes with high job satisfaction and unique challenges, then this on-campus course will build your capacity with the practical skills required in this highly competitive sector 

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How This Course Will Benefit Your Career

At the end of this course, students will be able to: 

  • Understand the basics of data cleaning.
  • Understand how to import and export data, input data into Stata.
  • Understanding how to generate simple and advanced graphics using Stata.
  • Analyzing quantitative data using both descriptive and commonly used inferential analysis techniques.
  • Explore the function of NVivo and undertake deductive and inductive qualitative coding using the software. 

Certification obtained

Participation Certificate 

What jobs will I qualify for?

This course enhances learners' knowledge and skill in a number of careers including: 

  • Health Researcher 
  • Market Researcher 
  • Education Researcher 
  • Quantity Surveyor 

When do I start?

Next available course

Admission Criteria

To be eligible for this course, students must be reasonably proficient in English. No prior knowledge is required. 

How do I apply?

In order to apply for this course, students must fill in the relevant individual or company registration form.

Payment options

The total fee for this course is 2100 USD. This covers: 

  • Tuition 
  • Training Materials
  • Two break refreshments 
  • Lunch 
  • Study Visits

How to Pay
Payments should be transferred to Versed Professional Services Account through the bank 7 days before commencement of training. 

  • All participants will additionally care for their travel expenses, visa application, insurance, and other personal expenses.
  • Accommodation is arranged upon request. 

Detailed course information

This course is taken at the Versed Training Facility over the course of five days. The course outline is as follows:

Module 1: Introduction/Recap to Qualitative and Quantitative Research and Statistical Concepts
  • Definition of qualitative and quantitative research
  • Types of Quantitative and Qualitative Data
  • Sources of Quantitative and Qualitative data
  • Qualitative vs Quantitative
  • Descriptive Statistics and common inferential statistics
  • The core functions of inferential statistics

Module 2: Introduction to Mobile Phone Based Data Collection Using ODK and Mapping Training
  • Introduction to mobile phone data collection
  • Components of Open Data Kit (ODK)
  • ODK Form (Basic format of XLSForm)
  • ODK Collect application Interface
  • ODK aggregate
  • ODK Manage
  • ODK platforms and formats
  • Downloading and install ODK Collect into mobile devices or using APK file
  • Creating ODK Collect Forms
  • ODK build;
  • Designing and creating Forms
  • Designing forms directly on: ODK Build, Koboform builder, PurcForms

Module 3: Data Entry, Management and Manipulation using Stata
  • Overview of Stata
  • Defining and labeling data and variables
  • Creating, transforming, recoding variables
  • Generating new variables
  • Data Entry, Exploring, modification.
  • Transferring data to/from Stata
  • Merging and appending Stata data files (e.g. Excel, SPSS )

Module 4: Output Management
  • Output Management
  • Tabulating data with Stata

Module 5: Stata Graphics
  • Basics of graphing
  • Customizing graphs
  • Advanced graphing
  • Exporting a Stata graph

Module 6: Quantitative data analysis (Inferential analysis techniques) using Stata and Reporting
  • Statistical Inference
  • Regression analysis
  • Correlation
  • T Test
  • Reporting

Module 7: Getting Started with NVivo
  • NVivo key terms
  • The NVivo Workspace
  • Creating a new project
  • Opening and Saving project
  • Working with Qualitative data files
  • Importing Documents

Module 8: Working with Codes and Nodes
  • Type of Nodes,
  • Creating nodes
  • Browsing Nodes
  • Creating Memos
  • Memos, annotations and links
  • Creating a linked memo

Module 9: Summarizing the Data
  • Creating Attributes within NVivo
  • Importing Attributes from a Spreadsheet
  • Getting Results; Coding Query and Matrix Query

Module 10: Visualising Project
  • Displaying data in charts
  • Creating models and graphs to visualize connections
  • Creating reports and extracts

This training can also be customised for your particular institution upon request. You can have it delivered to your preferred location. 

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