Data Collection and Management using CSPro Training Course
This course equips participants with practical skills to design data entry applications and manage census and survey data using CSPro. It focuses on dictionaries, forms, logic, batch editing, tabulation, mobile data collection, and data export.
Target Groups
- Statisticians and survey managers
- Census and survey data processing staff
- Monitoring and evaluation officers
- Data entry supervisors and managers
- Researchers and planners
- National statistics office staff
- Managers and supervisors seeking to strengthen organizational practice in this field
- Consultants and professionals supporting related organizations
Course Objectives
By the end of this course, participants will be able to:
- Explain the CSPro data processing workflow
- Design CSPro data dictionaries
- Develop data entry forms and applications
- Apply logic, skips, and validation in CSPro
- Manage data entry and verification operations
- Write batch edit applications
- Prepare tabulations and reports
- Deploy CSEntry for mobile and tablet collection
- Synchronize and consolidate field data
- Export data to analysis packages such as SPSS and Stata
Course Modules
Module 1: Introduction to CSPro and Survey Data Processing
- CSPro components
- Census and survey workflow
- Planning data processing
- Data structure concepts
- Project organization
Module 2: Data Dictionary Design
- Records, items, and value sets
- Naming conventions
- Occurrences and subitems
- Multiple records and relations
- Dictionary documentation
Module 3: Data Entry Forms
- Form design
- Form fields and layout
- Roster and multi-record forms
- Capturing field types
- Testing forms
Module 4: Logic and Validation in Data Entry
- CSPro logic basics
- Skip patterns
- Range and consistency checks
- Error messages
- Advanced logic
Module 5: Data Entry Operations
- Entry modes
- Dependent verification
- Operator management
- Data entry supervision
- Quality control
Module 6: Batch Editing
- Writing batch edit applications
- Structure and consistency checks
- Imputation basics
- Edit reports
- Correcting data
Module 7: Tabulation and Reporting
- Table design
- Cross tabulations
- Weights
- Output formats
- Reproducible reports
Module 8: Mobile Data Collection with CSEntry
- Deploying CSEntry
- Tablet and phone forms
- GPS and multimedia
- Synchronization
- Field management
Module 9: Data Export and Integration
- Exporting to SPSS, Stata, R, and Excel
- Merging and consolidating files
- Data documentation
- Archiving and security
- Dissemination
Module 10: Practical Exercises and Capstone Project
- Designing a dictionary for a sample survey
- Building a data entry application with logic
- Running batch edits and tabulations
- Deploying a mobile CSEntry form
- Presenting a data processing plan
Course Features
- Activities Data Analytics & Business Intelligence
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