Week 5: Final Project

This week is designed to be a culmination of the skills and knowledge you've acquired throughout the program, allowing you to design and execute a complete survey project. Here’s a detailed breakdown of each component:

Design and execute a complete survey project:

1. Design: Create a survey addressing a relevant topic.

   • This involves applying your understanding of KoboToolbox's purpose and features from Week 1, where you learned to create and deploy a basic survey using the form builder.
   • You should consider incorporating more advanced design elements, such as grouping questions that have the same meaning or purpose, and applying skip logic to these groups or individual questions to control their visibility.
   • Remember to explore the different question types available in KoboToolbox.
   • For efficiency and consistency, you can leverage the Question Library function to save groups of questions as templates for reuse across different forms, which is valuable for frequently asked questions or long lists of options.
   • As a good practice for experimentation and safely making edits, you can clone an existing survey into a completely new project to leave the original project and its submissions untouched.

2. Deployment: Deploy the survey and collect sample data.

   • Building on Week 1 activities, you will need to deploy your designed survey and test it by submitting sample data.
   • Consider the data collection mechanisms available: the Kobo Collect Android app and Webforms (Enketo).
   • You should also manage survey user access and permissions, which was a key objective in Week 2, ensuring effective survey management.
   • As you progress, you may need to update your survey and redeploy it, observing how versioning works to manage changes.

3. Data Cleaning: Clean the data to prepare it for your analysis.

   • While KoboToolbox provides simple mechanisms, they often fall short for this task. Therefore, you will likely need to rely on external tools such as spreadsheet software (e.g., LibreOffice Calc, Microsoft Excel, Google Spreadsheets) or specialized data cleaning tools like OpenRefine.
   • It is crucial to be aware that if you perform edits to your form after starting to collect submissions, KoboToolbox creates new columns for updated questions, effectively separating data for different versions. This can make the analysis tab within KoboToolbox unusable, requiring you to rely on external tools for data visualization and manual realignment of data where it appears separated.

4. Analysis: Perform data analysis using a Spreadsheet tool and visualize results.

   • perform basic data analysis using spreadsheets and utilizing KoboToolbox's built-in reporting features.
   • Key techniques involve creating pivot tables and charts to summarize data. While the learning materials provided focus on Microsoft Excel for these techniques, the same methods apply to Google Spreadsheets or LibreOffice Calc.
   • You will need to export collected data in various formats, such as CSV and Excel, and explore how it looks in your preferred spreadsheet tool.
   • Remember that the suggested workflow assumes that data cleaning and visualization primarily happen outside of KoboToolbox, especially if forms were edited during the data collection process, as KoboToolbox's internal analysis tab might become unusable.

5. Documentation: Prepare a brief report summarizing your process and findings.

   • This final step serves as a summary of your entire project, showcasing your understanding of the whole KoboToolbox workflow.
   • While the sources outline the practical steps and tools for design, deployment, data cleaning, and analysis, they do not provide specific details on the content or format of this final report.

Share your brief report with us to this form once finished.