Global Certificate in Research Data Collection

• Data Collection Methods: An overview of various data collection methods, including surveys, interviews, observations, and experiments.
• Questionnaire Design: Best practices for creating effective questionnaires, including question types, order, and language.
• Sampling Techniques: An introduction to probability and non-probability sampling techniques, including simple random sampling, stratified sampling, cluster sampling, and convenience sampling.
• Data Quality Control: Strategies for ensuring data quality, including data entry standards, data cleaning, and data validation techniques.
• Ethical Considerations in Data Collection: An exploration of ethical issues in data collection, including informed consent, privacy, and confidentiality.
• Data Collection Tools: An overview of tools and software used in data collection, including online survey tools, telephone interviewing software, and mobile data collection apps.
• Data Security and Storage: Best practices for securing and storing data, including data encryption, backup strategies, and access controls.
• Data Analysis Preparation: An introduction to preparing data for analysis, including data coding, recoding, and transformation techniques.
• Data Collection in Cross-Cultural Research: Strategies for collecting data in cross-cultural research, including language considerations, cultural sensitivity, and translation issues.