Data Processing and Collection Techniques

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?

1. 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