Course Overview

Data Analysis using Jamovi is a practical and comprehensive training course designed to equip professionals, researchers, students, and analysts with modern statistical analysis skills using Jamovi, a powerful open-source statistical software built on the R programming environment. Jamovi provides an intuitive graphical user interface that enables users to perform advanced statistical analyses without extensive programming knowledge, making it an ideal tool for research, monitoring and evaluation, public health, social sciences, business analytics, education, and development projects. This course provides participants with practical knowledge and hands-on experience in data management, statistical analysis, data visualization, hypothesis testing, regression modeling, and reporting using Jamovi.

The training explores essential and advanced analytical techniques used to transform raw data into actionable insights for evidence-based decision-making. Participants will learn how to import, clean, manage, analyze, and visualize datasets using Jamovi's user-friendly environment. The course covers descriptive statistics, inferential statistics, correlation analysis, hypothesis testing, regression models, analysis of variance (ANOVA), and advanced analytical methods applicable across multiple sectors. Practical exercises and real-world datasets ensure participants develop confidence in conducting professional statistical analyses.

Participants will gain practical experience in analyzing survey data, monitoring and evaluation datasets, research findings, public health information, market research results, educational assessments, and organizational performance indicators. The course examines how Jamovi can be used to support academic research, impact evaluations, program assessments, policy analysis, and organizational learning initiatives. Through hands-on activities and relevant case studies, participants will develop the ability to interpret statistical outputs and communicate findings effectively to stakeholders.

The training further addresses emerging trends in statistical computing, reproducible research, open-source analytics, data visualization, machine learning integration, and evidence-based decision-making. Participants will develop competencies required to perform rigorous statistical analysis, generate professional reports, and support research and organizational objectives through reliable data-driven insights.

Course Objectives

1.      Understand the fundamentals of statistical analysis using Jamovi.

2.      Import, manage, and prepare datasets for analysis.

3.      Perform descriptive and inferential statistical analyses.

4.      Apply hypothesis testing and significance testing techniques.

5.      Conduct correlation, regression, and comparative analyses.

6.      Create professional data visualizations and analytical reports.

7.      Interpret statistical outputs accurately and confidently.

8.      Apply analytical techniques to research and organizational datasets.

9.      Strengthen evidence-based decision-making capabilities.

10.  Utilize Jamovi for academic, development, business, and policy research applications.

Organizational Benefits

1.      Improved data analysis and reporting capabilities.

2.      Enhanced evidence-based planning and decision-making.

3.      Increased capacity for research, monitoring, and evaluation.

4.      Reduced costs through the use of open-source analytical software.

5.      Improved data quality and analytical accuracy.

6.      Enhanced organizational learning and knowledge management.

7.      Better performance monitoring and impact assessment.

8.      Increased efficiency in data processing and reporting.

9.      Improved stakeholder communication through clear analytical outputs.

10.  Strengthened organizational research and analytical capacity.

Target Participants

·         Researchers and research assistants

·         Monitoring and Evaluation (M&E) professionals

·         Public health specialists and epidemiologists

·         NGO and development practitioners

·         Academic staff and university lecturers

·         Graduate and postgraduate students

·         Data analysts and information management officers

·         Social science researchers

·         Government planning and statistics officers

·         Market research professionals

·         Consultants and evaluation specialists

·         Anyone interested in statistical data analysis using Jamovi

Course Outline

Module 1: Introduction to Jamovi and Data Management

1.      Introduction to Jamovi software and interface

2.      Installing and configuring Jamovi

3.      Importing data from Excel, CSV, SPSS, and other formats

4.      Understanding variables, measurement levels, and datasets

5.      Data coding, labeling, and transformation techniques

6.      Managing and organizing datasets efficiently

Case Study:
Preparing and organizing a large survey dataset for analysis in a development research project.

Module 2: Data Cleaning and Descriptive Statistics

1.      Data quality assessment and validation procedures

2.      Identifying missing values and outliers

3.      Data cleaning and preparation techniques

4.      Frequency distributions and summary statistics

5.      Measures of central tendency and variability

6.      Data visualization using tables, charts, and graphs

Case Study:
Cleaning and analyzing community survey data to generate baseline project indicators.

Module 3: Inferential Statistics and Hypothesis Testing

1.      Introduction to statistical inference

2.      Formulating research hypotheses

3.      T-tests and comparison of means

4.      Chi-square tests and categorical data analysis

5.      Confidence intervals and significance testing

6.      Interpreting p-values and statistical results

Case Study:
Evaluating differences in outcomes between intervention and comparison groups in a social development program.

Module 4: Correlation, Regression, and Predictive Analysis

1.      Correlation analysis and relationship assessment

2.      Simple linear regression techniques

3.      Multiple regression analysis

4.      Model diagnostics and assumptions testing

5.      Predictive analytics concepts and applications

6.      Interpretation of regression outputs

Case Study:
Analyzing factors influencing educational performance using regression analysis techniques.

Module 5: Advanced Statistical Analysis using Jamovi

1.      Analysis of Variance (ANOVA)

2.      Non-parametric statistical tests

3.      Reliability and scale analysis

4.      Factor analysis and dimension reduction

5.      Repeated measures and advanced analytical methods

6.      Selecting appropriate statistical techniques

Case Study:
Assessing service delivery quality across multiple regions using advanced statistical methods.

Module 6: Reporting, Visualization, and Research Applications

1.      Creating professional analytical reports

2.      Advanced data visualization and presentation techniques

3.      Exporting tables, charts, and statistical outputs

4.      Research reporting and interpretation of findings

5.      Evidence-based decision-making using statistical results

6.      Emerging trends in open-source statistical analysis and research

Case Study:
Designing a comprehensive data analysis and reporting framework using Jamovi that integrates data management, descriptive and inferential statistics, regression modeling, visualization, and evidence-based reporting to support research, monitoring and evaluation, policy analysis, and organizational decision-making.

 

 

 

Essential Information

 

1. Our courses are customizable to suit the specific needs of participants.
2. Participants are required to have proficiency in the English language.
3. Our training sessions feature comprehensive guidance through presentations, practical exercises, web-based tutorials, and collaborative group activities. Our facilitators boast extensive expertise, each with over a decade of experience.
4. Upon fulfilling the training requirements, participants will receive a prestigious Global King Project Management certificate.
5. Training sessions are conducted at various Global King Project Management Centers, including locations in Nairobi, Mombasa, Kigali, Dubai, Lagos, and others.
6. Organizations sending more than two participants from the same entity are eligible for a generous 20% discount.
7. The duration of our courses is adaptable, and the curriculum can be adjusted to accommodate any number of days.
8. To ensure seamless preparation, payment is expected before the commencement of training, facilitated through the Global King Project Management account.
9. For inquiries, reach out to us via email at training@globalkingprojectmanagement.org or by phone at +254 114 830 889.
10. Additional amenities such as tablets and laptops are available upon request for an extra fee. The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a certificate of successful completion. Participants are responsible for arranging and covering their travel expenses, including airport transfers, visa applications, dinners, health insurance, and any other personal expenses.