Short Term Trainings

Data Analysis Training Using Stata

Duration: 5 Days

Cost: K2,500 per person (excl. VAT)

What is covered:

Day 1

  • Research questions and data collection methods

  • Developing a dataset and sources of secondary with discussion on ethics

  • Explore the capabilities of Stata

  • Stata user interface

  • Data management 1: importing and exporting data and variable management

  • Data management 2: appending and merging data in Stata

  • Working with Stata do-files

Day 2

  • Data cleaning procedures

  • Making sense of data – understanding descriptive statistics

  • Introduction to Stata graphs

  • Stata graphs

  • Subgroup analysis

  • Research Project 1 and presentation

Day 3

  • Inferential statistics

  • Which statistical test should I use?

  • Hypothesis testing using Stata – categorical variables

Day 4

  • Hypothesis testing using Stata – parametric tests

  • Hypothesis testing using Stata – non-parametric tests

  • Why do we need multiple regression?

  • Research Project 2 and presentation

Data Analysis Training Using IBM SPSS Statistics

Duration: 3 Days

Cost: K2,500 per person (excl. VAT)

What is covered:

Day 1

  • Introduction to research reports

  • Study designs and data collection methods

  • From variables to datasets

  • How SPSS work

  • Exploring the Capabilities of SPSS

  • Learn to use SPSS: drop down menus and command syntax

  • Importing data from Microsoft Excel to SPSS

Day 2

  • Introduction to descriptive statistics

  • Making sense of data: more descriptive statistics

  • Subgroup analysis

  • Plotting and manipulating SPSS graphs

Day 3

  • Cross-tabulation and chi-square test

  • Risk factor analysis

  • Different types of statistical tests

  • Measures of effect

  • Is the association confounded: understanding confounding

  • Multivariate regression: theory and introduction to practice

  • Class exercise and presentations


Qualitative Data Analysis Training Using NVivo

Duration: 3 Days

Cost: K2,500 per person (excl. VAT)

What is covered:

Day 1

  • Overview of types of qualitative data analysis

  • Coding, manual coding and developing a codebook

  • Basic introductions to the main features of NVivo

  • Introducing NVivo and setting up a project

Day 2

  • Nodes and coding in NVivo

  • Creating Nodes in NVivo

  • Hands on application of codes to transcripts

  • Working with nodes

Day 3

  • Introducing and creating demographic attributes for transcripts in NVivo

  • Exploring your data

  • Generate preliminary findings using memos

  • An open session which allows individual participants to practice using NVivo with support from the facilitator

Research Methodology Crash Course

Duration: 4 Days

Cost: K2,500 per person (excl. VAT)

What is covered:

Day 1

  • Research paradigms: quantitative and qualitative

  • Study designs: types, strengths and weaknesses

  • Research question(s) and literature review

  • Research hypothesis and SMART research objectives

  • Aligning study objectives to study population and methodology

  • How to write a research proposal: structure and approach

  • Group exercise: research question, objectives, design and proposal writing

Day 2

  • Sampling techniques: probabilistic and non-probabilistic

  • Data collection methods

  • Research ethical principles and requirements

  • Produce and interpret descriptive statistics

  • Group exercise: sample size calculation, sampling and descriptive statistics

Day 3

  • Introduction to inferential statistics

  • Research validity and reliability

  • Bias: in different research designs, controlling for bias at design stage

  • Confounding: concept and adjustment for confounders

  • Group exercise: statistics, bias and confounding

  • Reporting research

Day 4

  • What is qualitative research?

  • Ethnography

  • Contrast with quantitative paradigm

When to use qualitative methods:

  • In-depth interviews

  • Life history interviews

  • Focus group discussions

  • Most significant change methodology

  • Participant observation

Day 5

  • Overview of qualitative data analysis

  • Triangulation of research findings

  • Group exercise: final report

Scientific Writing Crash Course

Duration: 3 Days

Cost: K2,500 per person (excl. VAT)

What is covered:

Day 1

  • Types of scientific literature

  • Importance of scientific literature

  • Publication models (Hybrid, Open Access, Subscription models)

  • Format of scientific papers

  • Titles and abstracts

  • From introduction to conclusion

  • Management of data

  • Presentation of data

Day 2

  • Responsibilities of authors

  • Journal/publisher selection (including how you can get funding for open access publication)

  • Paper submission process

  • Basics of peer review and editorial processes

  • Ethical issues (plagiarism, IRB approvals and other issues)

Day 3

  • Software/tools for scientific writing (Data analysis, paraphrasing, grammar check, referencing etc.)

  • Class exercise and presentations


Data Analysis Training Using E-views

Duration: 4 Days

Cost: K2,500 per person (excl. VAT)

What is covered:

Day 1

  • Research questions and data collection methods

  • From variables to dataset

  • Explore the capabilities of E-views

  • E-views interface

  • Data management 1: importing and exporting data in E-views

  • Working with work files in E-views

Day 2

  • Data cleaning procedures

  • Making sense of data – understanding descriptive statistics

  • Introduction to Stata graphs

  • E-views graphs

  • Research Project 1 and presentation

Day 3

  • Inferential statistics

  • Which statistical test should I use?

  • Hypothesis testing using E-views

Day 4

  • Stationarity tests in E-views

  • Correlation analysis

  • Time series analysis (VAR, VECM, ARDL, Granger causality)

Pre-requisites:

  • Research methodology crash course or any econometrics course covering time series analysis

  • Installation of E-views 10 or higher

Course Outcomes

The courses will enable participants to:

  • Understand descriptive and inferential statistics

  • Summarise and present data collected in their research work

  • Make inferences from data using the relevant software (e.g. Stata, SPSS, Eviews, NVivo)

Who Should Attend?

  • Researchers

  • Economists

  • Health workers

  • Policy makers

  • Data analysts

  • Students (Post and undergraduate)

  • Programme managers and NGO research PIs

  • Market researchers

  • Government practitioners

Price includes

  • Course attendance

  • Access to interactive webinars

  • Course lecture notes

  • Training slides

  • Complimentary parking (on-sight trainings only)

  • Certificate of attendance