Data Processing and Collection Techniques

Data Processing and Collection Techniques

University

10 Qs

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Data Processing and Collection Techniques

Data Processing and Collection Techniques

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Dr. Mafwimbo

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10 questions

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1.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

What are the important issues to consider when deciding on data processing and analysis?

Sorting data

Performing quality-control checks

Data processing

Data analysis

2.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the components of data processing?

Evaluate responses using AI:

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3.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

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.

4.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

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.

5.

OPEN ENDED QUESTION

3 mins • 1 pt

What is a written questionnaire?

Evaluate responses using AI:

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6.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

What are the advantages of written questionnaires?

Low cost

Free from interviewer bias

Allows anonymity

Provides time for respondents to answer

7.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

What are the limitations of written questionnaires?

Low response rates

Bias due to non-response

Lack of flexibility once distributed

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