Research Design,ODK Mobile Data Collection,GIS Mapping,Data analysis using NVIVO and R course

Introduction

The Research Design, ODK Mobile Data Collection, GIS Mapping, and Data Analysis Using NVivo and R course is designed to provide a comprehensive approach to research and data management. Tailored for professionals in diverse fields like public health, social research, environmental science, and development, this course blends research design, mobile data collection, GIS mapping, and advanced data analysis using leading tools such as ODK, NVivo, and R.

Participants will first gain a solid understanding of research design principles and their application across various sectors. They will then delve into mobile data collection using ODK, equipping them with the skills to create surveys, collect data remotely, and manage the data efficiently. The course also integrates GIS mapping for spatial data analysis, which helps in interpreting data with geographic components, ideal for studies in resource allocation and environmental monitoring.

By focusing on NVivo for qualitative analysis and R for quantitative analysis, participants will learn how to handle both structured and unstructured data, extract meaningful insights, and create data visualizations. This comprehensive skillset prepares learners to tackle complex datasets, making informed decisions and producing impactful reports.

Course Objectives

Develop a deep understanding of research design fundamentals.
Gain hands-on experience with ODK for mobile data collection and survey creation.
Learn GIS mapping techniques and how to analyze spatial data.
Utilize NVivo for qualitative data coding and thematic analysis.
Master R for data manipulation, statistical analysis, and visualization.
Combine qualitative and quantitative data analysis for more comprehensive insights.
Produce interactive maps for visualizing spatial research data.
Interpret research findings for strategic decision-making.
Develop professional-level reports and presentations using research data.

Organization Benefits

Enhanced capacity for data-driven decision-making.
Improved accuracy and efficiency in data collection and management.
Strengthened research capabilities through trained professionals.
Access to combined qualitative and quantitative analysis for deeper insights.
Efficient resource allocation and monitoring with GIS mapping.
Optimized data collection processes, reducing costs and time.
More robust program evaluations supported by solid research methods.
Transparent reporting that enhances stakeholder engagement.
Better compliance with industry standards for data management and research.

Target Participants

Program managers and project coordinators
Research officers and data analysts
Monitoring and evaluation professionals
Public health researchers
Social science researchers
Environmental scientists and geographers
Development and NGO staff
Policy makers and planners
Academic researchers and students
Anyone interested in mobile data collection and GIS mapping

Course Outline

Module 1: Foundations of Research Design

Introduction to research methodologies
Selecting the best research design
Defining variables and sampling methods
Ensuring data quality
Ethical considerations in research
Case Study: Research design in development contexts

Module 2: Introduction to ODK Mobile Data Collection

Overview of ODK and mobile data collection techniques
Designing surveys with ODK Build
Implementing skip logic and validation in surveys
Conducting field data collection
Managing and syncing collected data
Case Study: ODK for health surveys

Module 3: Advanced ODK for Survey Customization

Customizing ODK forms for specific needs
Integrating GPS and media files
Troubleshooting ODK issues
Best practices for data security
Case Study: Environmental data collection using ODK

Module 4: Introduction to GIS Mapping

Fundamentals of GIS and spatial data
Integrating GIS with research data
Mapping and geolocation basics
Introduction to spatial analysis
Case Study: GIS in resource allocation

Module 5: Data Visualization with GIS

Creating thematic and interactive maps
Overlay analysis for complex data
Geo-referencing and digitizing spatial data
Case Study: Mapping healthcare access

Module 6: Introduction to NVivo for Qualitative Analysis

Overview of NVivo software
Importing and organizing qualitative data
Coding and identifying patterns
Reporting insights from NVivo
Case Study: Qualitative analysis in social science

Module 7: Advanced NVivo Techniques

Advanced querying and data analysis
Working with multimedia data
Visualizing qualitative data in NVivo
Case Study: Stakeholder analysis in NVivo

Module 8: Introduction to R for Statistical Analysis

Basics of R and RStudio
Preparing data for analysis
Descriptive statistics in R
Data visualization in R
Case Study: Public health data analysis

Module 9: Advanced Data Analysis in R

Hypothesis testing and inferential statistics
Regression analysis and predictive modeling
Data cleaning and transformation
Advanced data visualization techniques
Case Study: Predictive modeling for decision support

Module 10: Integrating Qualitative and Quantitative Data

Linking NVivo and R for integrated analysis
Data triangulation for more robust insights
Challenges in mixed-methods research
Best practices for reporting mixed methods research
Case Study: Integrated analysis for community health

Module 11: Reporting and Visualization for Decision-Making

Structuring reports for different audiences
Visual storytelling through data
Using dashboards for interactive reports
Creating presentation-ready graphics
Case Study: Program evaluation reporting

Module 12: Practical Applications of GIS in Research

Applying GIS in field-based projects
Case Study: GIS in environmental research
Designing data collection protocols
Visualizing data changes over time
Case Study: GIS applications in agriculture

Module 13: Final Project and Practical Implementation

Planning and executing a research project
Data collection and analysis using ODK, NVivo, and R
GIS mapping integration into research findings
Preparing and presenting comprehensive research reports
Case Study: End-to-end research project using integrated tools

General Information

Customized Training: Tailored courses to meet participant needs.
Language Proficiency: A good command of English is required.
Learning Approach: Includes presentations, practical exercises, web tutorials, and group activities.
Certification: Participants receive a certificate from Stepsure Training and Research Institute upon successful completion.
Training Locations: Sessions available at our training centers or online. We also offer in-house options based on client schedules.
Flexible Duration: Adaptable course duration to suit your needs.
Onsite Training Inclusions: The course fee includes facilitation, materials, breaks, lunch, and certification. Travel and personal expenses are not covered.
Additional Services: Accommodation, transport, and visa services available upon request.
Equipment: Tablets and laptops provided for an additional cost.
Post-Training Support: One year of free consultation.
Group Discounts: Discounts of 10% to 50% for groups.
Payment Terms: Payment must be made before the training begins.