WorksheetsData Processing and Collection Techniques
Total questions: 10
Worksheet time: 15mins
What are the important issues to consider when deciding on data processing and analysis?
Sorting data
Performing quality-control checks
Data processing
Data analysis
What are the components of data processing?
What are the steps in data analysis?
Data cleaning and preparation.
Descriptive analysis (summarizing data).
Exploratory analysis (identifying patterns).
Inferential analysis (testing hypotheses).
Interpretation and reporting of results.
What are the main components of a research report?
Title Page: Includes the title, author, and date.
Abstract: A brief summary of the research.
Introduction: Background, problem statement, and objectives.
Methodology: Description of research design, sampling, and data collection methods.
Results: Presentation of findings.
What is a written questionnaire?
What are the advantages of written questionnaires?
Low cost
Free from interviewer bias
Allows anonymity
Provides time for respondents to answer
What are the limitations of written questionnaires?
Low response rates
Bias due to non-response
Lack of flexibility once distributed
What is document review in data collection?
What are SMART research objectives?
What is the difference between probability and non-probability sampling?
Probability sampling gives every unit in the population an equal or known chance of being selected, while non-probability sampling does not
sampling gives every unit in the population an equal or known chance of being selected
