Training Course in Data Collection and Management Using CSPro Desktop

Course Outline

Module I:  Foundations & Data Entry Setup with CSPro Desktop

• Introduction to CSPro: overview of capabilities, interface, and key concepts
• Creating data dictionaries and defining variables/coding structures
• Designing and building data-entry forms
• Preparing for data entry, structuring forms for surveys or censuses
• Hands-on Exercise: Build a functional, multi-level CSPro application

Module II: Data Entry & Basic Validation/Editing

• Running data-entry applications: data input, case creation, and data saving
• Implementing basic validation rules (checks, skips, constraints) to catch errors immediately during entry
• Performing initial data cleaning and verification, ensuring data consistency and completeness
• Hands-on Exercise: Reinforce standardization and consistency for variables across datasets

Module III: Data Cleaning & Management of Complex Datasets

• Advanced data cleaning methods: handling missing data, outliers, inconsistencies; automated error detection and correction logic
• Strategies for managing larger or hierarchical datasets (e.g., households, individuals, clusters)
• Basic export/import functions: exporting cleaned data to formats usable by statistical software (e.g., SPSS, Stata, Excel, etc.)

• Hands-on Exercise: Practice error detection and learn to enforce data integrity in real-time

Module IV: Automation & Scripting (CSPro Logic)

• Introduction to CSPro scripting/logic language: writing scripts for automated data processing tasks (e.g., skips, derived variables, conditional logic, error messages)
• Automating repetitive tasks: batch processing, automated validation, and data edits, which helps streamline cleaning and editing large datasets
• Debugging and troubleshooting scripts; managing common data processing issues
• Hands-on Exercise: Manage hierarchical data and ensure relational consistency

Module V: Analysis Preparation, Data Export, & Quality Assurance

• Preparing final dataset for analysis: verifying data integrity, structuring datasets appropriately
• Exporting data for analysis in external software, sharing, or archiving
• (Optional/Basic) Generating simple tables or summary statistics in CSPro
• Hands-on Exercise: Apply scripting to streamline repetitive tasks, enhance accuracy, and prepare data for downstream analysis