Research Methods and Data Types

Research Methods and Data Types

Assessment

Interactive Video

Business, Education, Journalism

9th - 12th Grade

Hard

Created by

Emma Peterson

FREE Resource

The video tutorial covers the importance of audience research for businesses, explaining how it helps in understanding user needs and marketing strategies. It distinguishes between primary and secondary research methods, highlighting their benefits. The tutorial also differentiates between quantitative and qualitative data, discussing their uses and limitations. By combining these research methods and data types, businesses can create products that meet audience needs effectively.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is audience research crucial for businesses?

To increase product prices

To understand user needs and market products effectively

To reduce production costs

To eliminate competition

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is primary research?

Research performed by the business using new data

Research using outdated data

Research conducted by a third party

Research that is not related to the business

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a method of primary research?

Reading books

Conducting interviews

Watching television

Browsing internet sites

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is secondary research?

Research that is always more time-consuming

Research using previously completed data by a third party

Research that is conducted by the business itself

Research that is always more expensive

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which source is typically used in secondary research?

Focus groups

Magazines

Questionnaires

Online surveys

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key characteristic of quantitative data?

It is always subjective

It is expressed as numbers

It is difficult to analyze

It provides deep insights

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a limitation of quantitative data?

It is hard to convert into graphs

It lacks depth

It is always outdated

It is difficult to collect

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