Short Term Trainings

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

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

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

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

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

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