6 Questions
What is the primary goal of data collection in research?
To gather data to answer research questions or test hypotheses
Which type of research involves manipulating one or more variables and measuring their effect on a dependent variable?
Experimental Research
What is the purpose of probability sampling in data collection?
To select participants randomly from a population to ensure representativeness
What is the purpose of data cleaning in data quality control?
To check and correct errors in the data
What is the purpose of a questionnaire in data collection?
To collect data through self-administered or interviewer-administered instruments
What is the purpose of data verification in data quality control?
To check the completeness and consistency of the data
Study Notes
Data Collection
Definition and Importance
- Data collection is the process of gathering data to answer research questions or test hypotheses
- It is a crucial step in the research process, as it provides the foundation for analysis and conclusions
Types of Data Collection Methods
- Survey Research: uses self-administered questionnaires, interviews, or observations to collect data
- Experimental Research: involves manipulating one or more variables and measuring their effect on a dependent variable
- Content Analysis: involves analyzing texts, images, or videos to identify patterns or themes
- Case Study Research: in-depth examination of a single case or a small number of cases
Data Collection Strategies
- Probability Sampling: involves selecting participants randomly from a population to ensure representativeness
- Non-Probability Sampling: involves selecting participants based on convenience, expertise, or accessibility
- Purposive Sampling: involves selecting participants based on their expertise or experience
Data Collection Instruments
- Questionnaires: self-administered or interviewer-administered instruments used to collect data
- Observation Schedules: systematic guides used to record observations
- Interview Protocols: structured or semi-structured guides used to conduct interviews
Data Quality Control
- Data Cleaning: process of checking and correcting errors in the data
- Data Validation: process of checking the accuracy of the data
- Data Verification: process of checking the completeness and consistency of the data
Test your knowledge of data collection methods, strategies, and instruments used in research. Learn about survey research, experimental research, content analysis, and more.
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