Data Analysis Using Jamovi Training Course

Course Introduction

The Data Analysis Using Jamovi Training Course is designed to equip participants with comprehensive knowledge and practical skills in statistical data analysis, visualization, and evidence-based decision-making using the Jamovi statistical software platform. In today's data-driven environment, governments, research institutions, healthcare organizations, academic institutions, development agencies, and private enterprises increasingly rely on user-friendly statistical software applications to manage data, perform robust analyses, and generate evidence for strategic planning and policy development. This course provides participants with practical competencies in data management, descriptive and inferential statistics, regression analysis, data visualization, and reporting techniques using Jamovi for research and organizational performance improvement.

The course focuses on the principles and practical applications of Jamovi for statistical analysis, including data importation and preparation, exploratory data analysis, hypothesis testing, correlation analysis, regression techniques, visualization methods, and interpretation of analytical findings. Participants will gain practical experience in managing datasets, performing statistical procedures, generating graphical outputs, and developing evidence-based reports and recommendations. The course emphasizes practical applications of Jamovi in public health, economics, social sciences, education, agriculture, monitoring and evaluation, market research, and development programming.

As organizations increasingly adopt evidence-based management systems, digital transformation initiatives, and results-based planning frameworks, competencies in statistical data analysis using intuitive analytical platforms such as Jamovi have become indispensable for researchers, statisticians, monitoring and evaluation specialists, policy analysts, project managers, and organizational leaders. This training emphasizes analytical reasoning, statistical rigor, quantitative problem-solving, and data interpretation skills that improve research quality, strengthen reporting systems, and facilitate informed and strategic decision-making.

Through presentations, practical exercises, computer-based applications, collaborative group work, and real-world case studies, participants will develop competencies necessary to manage and analyze datasets, interpret analytical findings, and communicate statistical results effectively. Upon completion of this course, participants will be capable of applying Jamovi techniques to solve analytical challenges, improve research and evaluation capabilities, strengthen organizational evidence systems, and contribute to innovation and evidence-based management practices.

Course Objectives

Upon completion of this course, participants will be able to:

1.     Understand the principles and applications of Jamovi for statistical data analysis.

2.     Import, organize, and manage datasets using Jamovi software.

3.     Conduct descriptive and exploratory data analyses effectively.

4.     Apply inferential statistical techniques and hypothesis testing procedures.

5.     Perform correlation and regression analyses using Jamovi.

6.     Generate tables, charts, and graphical presentations of data.

7.     Interpret statistical outputs and analytical findings accurately.

8.     Prepare evidence-based reports and analytical recommendations.

9.     Apply statistical techniques to support research and organizational decision-making.

10.  Utilize Jamovi to improve monitoring, evaluation, and reporting processes.

Organizational Benefits

Organizations that invest in this training will benefit by:

1.     Strengthening evidence-based planning and decision-making capabilities.

2.     Improving research quality and analytical rigor.

3.     Enhancing monitoring, evaluation, and learning systems.

4.     Building staff competencies in statistical analysis and data management.

5.     Improving organizational reporting and performance measurement systems.

6.     Supporting effective policy development and resource allocation.

7.     Strengthening business intelligence and knowledge management capabilities.

8.     Improving program evaluation and impact assessment processes.

9.     Promoting innovation and data-driven management practices.

10.  Enhancing accountability, operational efficiency, and continuous improvement.

Target Participants

This course is designed for researchers, statisticians, data analysts, monitoring and evaluation specialists, economists, policy analysts, public health professionals, educators, consultants, project managers, government officials, academicians, postgraduate students, development practitioners, market researchers, business analysts, and professionals involved in research, data analysis, program evaluation, and evidence-based decision-making.

Course Outline

Module 1: Introduction to Jamovi and Data Management

1.     Introduction to Jamovi software and analytical applications

2.     Understanding the Jamovi interface and navigation tools

3.     Importing and organizing datasets in Jamovi

4.     Variable definitions and data coding procedures

5.     Data cleaning and preparation techniques

6.     General Case Study: Preparing development program survey data for analysis using Jamovi

Module 2: Descriptive Statistics and Exploratory Data Analysis

1.     Principles of descriptive statistical analysis

2.     Frequency distributions and summary statistics

3.     Measures of central tendency and dispersion

4.     Cross-tabulation and comparative analysis techniques

5.     Exploratory data analysis and interpretation methods

6.     General Case Study: Exploring educational performance indicators using Jamovi

Module 3: Inferential Statistics and Hypothesis Testing

1.     Principles of inferential statistical analysis

2.     Parametric statistical testing procedures

3.     Non-parametric statistical techniques

4.     Confidence intervals and significance testing

5.     Interpretation of inferential statistical outputs

6.     General Case Study: Evaluating intervention outcomes using hypothesis testing techniques

Module 4: Correlation and Regression Analysis

1.     Principles of correlation analysis and interpretation

2.     Simple linear regression techniques

3.     Multiple regression analysis procedures

4.     Model diagnostics and assumption testing

5.     Interpretation of analytical outputs and predictive measures

6.     General Case Study: Examining determinants of organizational performance and service delivery outcomes

Module 5: Data Visualization and Reporting Techniques

1.     Principles of effective data visualization

2.     Development of charts and graphical presentations

3.     Creating tables and analytical summaries

4.     Interpretation and communication of analytical findings

5.     Preparation of evidence-based reports and recommendations

6.     General Case Study: Developing organizational performance dashboards and analytical reports

Module 6: Applications of Jamovi in Research and Decision-Making

1.     Applications of Jamovi in social science research

2.     Public health and epidemiological data analysis techniques

3.     Monitoring and evaluation analytical applications

4.     Business intelligence and market research methodologies

5.     Emerging trends in statistical analysis and evidence-based management

6.     General Case Study: Designing integrated analytical frameworks for strategic planning and organizational transformation

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     Onsite Training Inclusions: 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 their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.

13.  Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.

14.  Website: Visit our website at www.fdc-k.org for more information.