Mixed Method Research: Quantitative and Qualitative Data Analysis using Stata and NVivo Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.


July 2024

Code Date Duration Location Fee Action
MQN036 29 Jul 2024 - 9 Aug 2024 10 days Kampala, Uganda $3,300 Register
MQN036 29 Jul 2024 - 9 Aug 2024 10 days Kisumu, Kenya KES 165,000 | $2,200 Register
MQN036 15 Jul 2024 - 26 Jul 2024 10 days Nairobi, Kenya KES 159,000 | $2,200 Register
MQN036 15 Jul 2024 - 26 Jul 2024 10 days Nakuru, Kenya KES 166,000 | $2,200 Register
MQN036 15 Jul 2024 - 26 Jul 2024 10 days Kampala, Uganda $3,300 Register
MQN036 15 Jul 2024 - 26 Jul 2024 10 days Accra, Ghana $4,400 Register
MQN036 22 Jul 2024 - 2 Aug 2024 10 days Johannesburg, South Africa $4,400 Register
MQN036 29 Jul 2024 - 9 Aug 2024 10 days Cape Town, South Africa $4,400 Register
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July 2024

Date
Duration
Location
Fee
Action
29 Jul - 9 Aug
10 days
Kampala
- | $3,300
29 Jul - 9 Aug
10 days
Kisumu
KES 165,000 | $2,200
15 Jul - 26 Jul
10 days
Nairobi
KES 159,000 | $2,200
15 Jul - 26 Jul
10 days
Nakuru
KES 166,000 | $2,200
15 Jul - 26 Jul
10 days
Kampala
- | $3,300
15 Jul - 26 Jul
10 days
Accra
- | $4,400
22 Jul - 2 Aug
10 days
Johannesburg
- | $4,400
29 Jul - 9 Aug
10 days
Cape Town
- | $4,400
I Want To See More Dates...
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INTRODUCTION

Using a combination of qualitative and quantitative data improves an evaluation by ensuring that the limitations of one type of data are balanced by the strengths of another. This then ensures that understanding is improved by integrating different ways of knowing. Some of the values of using both qualitative and quantitative research methods include the ability to enriching data, examining findings, explaining findings and triangulation. Mixed methods approach can offer a powerful resource to inform and illuminate the answers that different researched seek.  This training seeks to enhance the skills of participants using both qualitative and quantitative research approaches in undertaking their researches, projects programs, feasibility studies among others. The training will cover ways to undertaking research with particular attention to collecting and analyzing 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 quantitative data management and analysis and NVIvo software for qualitative data management and analysis.

Duration

10 Days

WHO SHOULD ATTEND?

This is a general training targeting participants wishing to analyze both quantitative and rich messy qualitative data.  The participants can be from Social, Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who wish to be conversant with the concepts and applications of STATA and NVivo Softwares No prior Knowledge is required.


Course Level:

TRAINING OBJECTIVES

The training will enable participants to;

  • Understand the basics of data cleaning
  • Understand how to import and export data, input data into Stata
  • General use and data management using Stata.
  • Managing output management in 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
  • Create a project
  • Undertake deductive and inductive qualitative data coding using NVivo
  • Manage project material 

TOPICS TO BE COVERED

Modele 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: Visualizing project

  • Displaying data in charts
  • Creating models and graphs to visualize connections
  • Creating reports and extracts

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Course Administration Details:

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.

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 an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

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

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected].  

Mob: +254 715 077 817

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817.

Mob: +254 792516000+254 792516010,+250 789 621 067  or mail [email protected]/[email protected]

PAYMENT

Payment should be transferred to IRES account through bank on or before course start date.

Send proof of payment to [email protected]/[email protected]


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Who else has taken this course?


# Job Title Organisation Country
1 Oxfam International-Somalia Somalia
2 Monitoring, Evaluation and Learning Office NIS Foundation Africa Somalia
3 Senior MEL Officer Chemonics International Kenya
4 PhD student Mbarara University of Science and Technology Uganda

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