Training on Research Design, SurveyCTO Mobile Data Collection, GIS Mapping, Data Analysis using NVivo and Python

Module 1: Research Design and Methodological Frameworks

• Principles of research design: qualitative, quantitative, and mixed methods

• Sampling strategies and data collection planning

• Developing research questions, hypotheses, and indicators

• Case Study: Designing a research framework for community-based studies

Module 2: Mobile Data Collection using SurveyCTO

• Building digital questionnaires and deploying them on mobile devices

• Data validation, skip logic, and field team management

• Ensuring data quality, storage, and synchronization

• Case Study: Conducting field data collection using SurveyCTO for social surveys

Module 3: Data Management and Cleaning Techniques

• Data export and integration with Excel, R, and Python

• Handling missing data and inconsistencies

• Metadata management and data documentation standards

• Case Study: Cleaning and managing data for evaluation projects

Module 4: GIS Mapping and Spatial Analysis

• Basics of GIS and spatial data concepts

• Integrating field data with QGIS or ArcGIS

• Mapping spatial trends and thematic layers

• Case Study: Mapping health or education project coverage using GIS

Module 5: Qualitative Data Analysis using NVivo

• Coding and categorizing qualitative data

• Thematic and content analysis

• Visualizing connections through NVivo maps and charts

• Case Study: Analyzing focus group data for impact assessment

Module 6: Quantitative Data Analysis using Python

• Introduction to Python for data analysis (Pandas, NumPy, Matplotlib)

• Statistical testing and data modeling techniques

• Automating analysis workflows for research reporting

• Case Study: Performing regression and correlation analysis with Python

Module 7: Integrating Qualitative and Quantitative Insights

• Linking NVivo and Python results for mixed-method reporting

• Triangulating findings for deeper interpretation

• Building comprehensive research narratives

• Case Study: Integrating multiple data sources for impact evaluation

Module 8: Data Visualization and Communication

• Creating interactive dashboards and visual summaries

• Presenting geospatial and analytical insights

• Communicating results for non-technical audiences

• Case Study: Presenting data-driven insights for donor reporting

Module 9: Data Governance, Ethics, and Quality Assurance

• Ethical considerations in data collection and analysis

• Data protection, consent, and confidentiality

• Ensuring validity and reliability in research

• Case Study: Managing ethical compliance in digital data collection

Module 10: Capstone Project – Integrated Research and Analysis

• Designing and executing a mini end-to-end research project

• Integrating SurveyCTO, NVivo, GIS, and Python tools

• Preparing a presentation and final report for assessment

• Case Study: Developing a data-driven decision support framework