Introduction

The Research Design, ODK Mobile Data Collection, GIS Mapping, Data Analysis using NVIVO and STATA course is a comprehensive program designed to equip participants with the essential knowledge and skills required for conducting robust research, collecting and managing data using mobile applications, creating geographic information system (GIS) maps, and performing data analysis using the powerful tools NVIVO and STATA. This course is structured into 36 modules, each meticulously designed to cover key aspects of the research process from the initial planning stage to the final report writing. Whether you are a novice researcher or seeking to enhance your existing research capabilities, this course will provide you with the expertise needed to excel in the field of data-driven research and analysis.

In the first part of the course, participants will delve into the fundamental principles of research design, statistical concepts, and survey planning. This foundation is essential for crafting effective research projects and developing a structured approach to data collection. As the course progresses, participants will learn about the latest innovations in mobile data collection, understanding the benefits of mobile applications and the intricacies of data aggregation and storage. Moreover, the course offers hands-on experience with popular mobile-based data collection platforms, ensuring participants can seamlessly implement these technologies in their research projects.

Additionally, the course includes modules dedicated to GIS mapping, which is crucial for visualizing and interpreting spatial data. Understanding GIS tools and their integration into research projects is pivotal in today's data-driven world. Moreover, the course takes an in-depth approach to qualitative data analysis using NVIVO and quantitative analysis using STATA. Participants will master these tools, enabling them to conduct advanced data analysis, generate insightful reports, and make data-driven decisions. Whether you are a researcher, analyst, or professional seeking to enhance your data management and analysis skills, this course offers a holistic and practical education to meet your needs.

Course Objectives:

1. Equip participants with a comprehensive understanding of research design principles, including the ability to select the most appropriate research methods for different projects.
2. Provide hands-on training in ODK mobile data collection, allowing participants to gather data efficiently in the field using mobile applications.
3. Familiarize participants with GIS mapping techniques, enabling them to create spatial visualizations and analyze geospatial data effectively.
4. Teach participants how to perform qualitative data analysis using NVIVO, with a focus on data coding, theme identification, and report generation.
5. Instruct participants in quantitative data analysis using STATA, covering a wide range of statistical tests, regression models, and econometric analysis.
6. Develop participants' skills in survey planning, including sampling methods, survey design, and sample size determination.
7. Prepare participants to host survey data both online and on local servers, ensuring data security and accessibility.
8. Introduce participants to the concept of data triangulation, allowing them to combine qualitative and quantitative data for more robust research outcomes.
9. Enhance participants' ability to visualize data using charts, graphs, and GIS maps, enabling effective communication of research findings.
10. Enable participants to produce high-quality research reports and dissemination strategies, promoting data-driven decision-making and research impact.

Organizational Benefits:

1. Improved research quality and reliability due to a better understanding of research design and data collection techniques.
2. Enhanced data collection efficiency and accuracy through the implementation of ODK mobile data collection methods.
3. Increased organizational capacity to analyze and interpret geospatial data, leading to more informed decision-making.
4. Greater proficiency in qualitative data analysis with NVIVO, allowing for deeper insights from unstructured data sources.
5. Advanced quantitative data analysis capabilities using STATA, resulting in more precise statistical outcomes.
6. More effective survey planning and execution, reducing resource wastage and ensuring representative sample sizes.
7. Enhanced data security and accessibility with knowledge of online and local server hosting methods.
8. Improved data triangulation capabilities, leading to more comprehensive research findings.
9. Better data visualization and communication, facilitating stakeholder engagement and decision-making.
10. More impactful research reports and dissemination strategies, increasing the organization's influence and credibility in its field.

Target Participants:

1. Researchers and data analysts seeking to enhance their research design and data analysis skills.
2. Field workers and data collectors interested in adopting mobile data collection techniques.
3. GIS professionals looking to broaden their knowledge of GIS mapping for research applications.
4. Social scientists, environmental researchers, and public health professionals in need of advanced qualitative data analysis tools (NVIVO).
5. Statisticians, economists, and data analysts aiming to strengthen their quantitative analysis skills with STATA.
6. Project managers and decision-makers who want to understand survey planning and data-driven decision-making.
7. IT professionals responsible for data hosting and management within their organizations.
8. Researchers and analysts working with mixed-methods research approaches.
9. Graduate students and academics looking to improve their research and data analysis competencies.
10. Professionals from various industries aiming to leverage data for evidence-based decision-making.

Course Outline

Module 1: Basic Statistical Terms and Concepts

• Introduction to statistical concepts
• Descriptive statistics
• Inferential statistics

Module 2: Research Design

• The role and purpose of research design
• Types of research designs
• The research process
• Selecting the research method
• Exercise: Developing a research design for a chosen project

Module 3: Survey Planning, Implementation, and Completion

• Types of surveys
• Survey process
• Survey design
• Survey sampling methods
• Sample size determination
• Planning and conducting a survey

Module 4: Introduction to Mobile Data Gathering

• Benefits of mobile applications
• Data types
• Common mobile data collection platforms
• Challenges of data collection
• Data aggregation, storage, and dissemination
• Types of questions and questionnaire logic

Module 5: Survey Authoring

• Designing forms using ODK Build, Koboforms, and PurcForms
• Hands-on exercises

Module 6: Preparing the Mobile Phone for Data Collection

• Installing ODK Collect
• Configuring mobile devices
• Uploading forms to mobile devices
• Hands-on exercises

Module 7: Designing Forms Manually (Using XLS Forms)

• Introduction to XLS forms syntax
• Creating and formatting forms
• Hands-on exercises

Module 8: Advanced Survey Authoring

• Conditional survey branching
• Grouping questions
• Repeating question sets
• Special formatting and dynamic calculations

Module 9: Hosting Survey Data (Online)

• ODK Aggregate, Formhub, ona.io, KoboToolbox
• Uploading forms to online servers

Module 10: Hosting Survey Data (Configuring a Local Server)

• Configuring ODK Aggregate on a local server
• Downloading data using ODK Briefcase
• Using the online server interface

Module 11: GIS Mapping of Survey Data Using QGIS

• Introduction to GIS for researchers
• Importing survey data into QGIS
• Mapping survey data using QGIS
• QGIS mapping exercise

Module 12: Understanding Qualitative Research

• Qualitative data and its types
• Sources of qualitative data
• Qualitative vs. quantitative research
• Introduction to NVivo and key terms

Module 13: Preliminaries of Qualitative Data Analysis

• Qualitative data analysis approaches
• Points of focus in text data analysis
• Principles of qualitative data analysis

Module 14: Introduction to NVivo

• NVivo key terms
• NVivo interface and workspace

Module 15: NVivo Projects

• Creating, opening, and saving projects
• Importing and managing qualitative data files
• Merging and exporting projects

Module 16: Nodes in NVivo

• Theme codes, case nodes, relationship nodes
• Creating and browsing nodes
• Creating memos and annotations

Module 17: Classes and Summaries

• Source, case, and node classifications
• Creating attributes within NVivo
• Coding and query functions

Module 18: Coding

• Data-driven vs. theory-driven coding
• Analytic, descriptive, and thematic coding
• Tree coding

Module 19: Thematic Analytics in NVivo

• Organizing and clustering data
• Text searches, word counts, and examining themes

Module 20: Queries Using NVivo

• Queries for textual analysis and exploring coding

Module 21: Building on the Analysis

• Content analysis, narrative analysis, discourse analysis, grounded theory

Module 22: Qualitative Analysis Results Interpretation

• Comparing results with research questions
• Summarizing findings and drawing conclusions

Module 23: Visualizing NVivo Project

• Displaying data in charts, models, and graphs
• Creating reports and extracts

Module 24: Triangulating Results and Sources

• Triangulation with quantitative data
• Comparing analysis from different data sources

Module 25: Report Writing

• Qualitative report format and content
• Reporting qualitative research

Module 26: Introduction to Statistical Concepts and General Analytics in Stata

• Research design, samples, populations
• Working with Stata datasets, commands, variables
• Charting and graphical presentation using Stata
• Statistical tests and measures of associations
• Predictive models, panel data analysis, time series analysis, and econometric analysis
• Report writing, data dissemination, and communication strategies

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.