Purpose
CSPRO (Computer-Assisted Personal Interviewing) is a software that is used to collect and manage survey data. It is typically used in market research, public opinion polling, and other survey-based research.
Course Objectives
- Understanding the basics of CSPRO and its interface, including how to navigate the software and perform common tasks.
- Setting up a survey project and creating questionnaires, including how to design effective survey questions, create skip patterns, and set up routing logic.
- Importing and cleaning data, including how to import data from different sources, identify and correct errors, and prepare data for analysis.
- Data entry and quality control procedures, including how to enter data manually, use automated data entry tools, and conduct quality control checks to ensure data accuracy.
- Managing and merging datasets, including how to merge multiple datasets, merge datasets from different sources, and manage data to ensure data security and confidentiality.
- Creating and managing weighting variables, including how to create weighting variables, apply weighting to data, and ensure data representativeness.
- Generating basic statistics and tables, including how to calculate frequencies, cross-tabulations, and other basic statistics.
- Exporting data for analysis in other software, including how to export data to different file formats, clean and prepare data for analysis in other software, and ensure data quality and integrity.
- Best practices for survey data collection and management, including how to plan and conduct effective surveys, ensure data quality and accuracy, and protect the privacy and confidentiality of survey participants.
- Hands-on practice and experience in designing and conducting surveys, data entry, data cleaning and management, analysis, and reporting using CSPRO.
Target Audience
- Market researchers, survey researchers, and data analysts who are responsible for designing, conducting, and analyzing surveys.
- Researchers and professionals in social sciences, such as sociology, psychology, political science, and anthropology, who use survey data in their research.
- Professionals in business and marketing who use survey data to understand customer preferences, market trends, and industry dynamics.
- Public opinion researchers and analysts who use survey data to understand public opinion on various issues.
- Public policy analysts and professionals who use survey data to understand public attitudes, opinions, and behaviors.
- Data analysts, researchers, and statisticians who need to use CSPRO to analyze data from surveys and other sources
- Those who work in non-profit organizations, government agencies, and research institutions that conduct surveys and need to use CSPRO to manage and analyze data.
- Participant in graduate programs in fields such as social sciences, business, marketing, and public policy who want to learn how to use CSPRO for survey research and data analysis.
Program Outline
Topic 1. Introduction to CSPRO and its interface
Overview of CSPRO, its features and capabilities, and how to navigate the software and perform common tasks.
Topic 2. Setting up a survey project
Creating a new survey project, designing effective survey questions, creating skip patterns and routing logic.
Topic 3. Data import and cleaning
Importing data from different sources, identifying and correcting errors, and preparing data for analysis.
Topic 4. Data entry and quality control
Manual data entry, automated data entry tools, and conducting quality control checks to ensure data accuracy.
Topic 5. Managing and merging datasets
Merging multiple datasets, merging datasets from different sources, and managing data to ensure data security and confidentiality.
Topic 6. Creating and managing weighting variables
Creating weighting variables, applying weighting to data, and ensuring data representativeness.
Topic 7. Generating basic statistics and tables
Calculating frequencies, cross-tabulations, and other basic statistics.
Topic 8. Exporting data for analysis in other software
Exporting data to different file formats, cleaning and preparing data for analysis in other software, and ensuring data quality and integrity.
Topic 9. Best practices for survey data collection and management
Planning and conducting effective surveys, ensuring data quality and accuracy, and protecting the privacy and confidentiality of survey participants.
Topic 10. Hands-on practice and experience
Designing and conducting surveys, data entry, data cleaning and management, analysis, and reporting using CSPRO.
Topic 11. Advanced topics
Creating complex routing and skip patterns, advanced data validation techniques, advanced data analysis and reporting techniques, creating web surveys, integrating with other software.