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Data Collection and Management Quiz

Authored by Afghanistan Center

Professional Development

4th Grade

Used 5+ times

Data Collection and Management Quiz
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What is the first step in ensuring successful data collection?

Training data collectors

Translating data collection tools

Testing the questionnaire on respondents

Planning for data storage

2.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Why is it important to train data collectors before data collection begins?

To ensure they understand the ethical principles of data collection

To allow them to modify the questionnaire as needed

To make data collection faster by skipping unnecessary steps

To ensure that only experienced collectors are used

3.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What is the primary goal of data management?

To collect as much data as possible

To ensure effective analysis, interpretation, and use of data

To minimize the role of technology in data collection

To store data indefinitely without disposal

4.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Which of the following software programs is typically used for managing qualitative data?

SPSS

NVivo

Stata

Microsoft Excel

5.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What is the purpose of data cleaning in data management?

To add more data to the dataset

To remove duplicate entries and identify errors

To modify data to match expected results

To eliminate the need for a database

6.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What is the role of GDPR in data management?

It allows organizations to collect data without consent

It protects EU citizens from privacy and data breaches

It eliminates the need for data security measures

It mandates data storage for all organizations

7.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What is the primary factor determining how long data should be retained?

The preferences of the data entry team

The need for space on digital storage devices

Government regulations and donor requirements

The number of errors in the dataset

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