Types of Non-Probability Sampling

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What is the primary goal of probability sampling?

To reduce cost and time consumed

To introduce bias into the study

To involve all members of the population

To select elements from the sampling frame (correct)

Which sampling method involves dividing the population into homogenous subgroups before selecting elements at random?

Quota Sampling (correct)

Accidental Sampling

Systematic Sampling

Simple Random Sampling

Why is it generally cheaper and more expeditious to involve only an adequate sampling of study subjects rather than all members of the target population?

It reduces bias in the study

It ensures complete representation of the entire population

It introduces spurious influence on research

It saves cost and time consumed (correct)

In which type of sampling are the most readily available or most convenient group of people or objects used as study respondents?

Accidental Sampling Signup and view all the answers

What does Quota Sampling aim to achieve in terms of sample representation?

Ensuring representative proportions of different sub-populations Signup and view all the answers

What is the main characteristic of Accidental/ Convenience Sampling?

Selects the most readily available or convenient group Signup and view all the answers

How does Quota Sampling ensure representative proportions in the sample?

By dividing the population into homogenous strata Signup and view all the answers

What is the distinguishing feature of Purposive/ Judgment Sampling?

Subjects are handpicked based on specific qualities Signup and view all the answers

Why is Snowball/ Network Sampling termed 'Snowball'?

Due to a continuous referral process Signup and view all the answers

What is a common disadvantage of Non-Probability Sampling?

May exclude certain population elements Signup and view all the answers

Types of Non-Probability Sampling

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Questions and Answers

What is the primary goal of probability sampling?

Which sampling method involves dividing the population into homogenous subgroups before selecting elements at random?

Why is it generally cheaper and more expeditious to involve only an adequate sampling of study subjects rather than all members of the target population?

In which type of sampling are the most readily available or most convenient group of people or objects used as study respondents?

What does Quota Sampling aim to achieve in terms of sample representation?

What is the main characteristic of Accidental/ Convenience Sampling?

How does Quota Sampling ensure representative proportions in the sample?

What is the distinguishing feature of Purposive/ Judgment Sampling?

Why is Snowball/ Network Sampling termed 'Snowball'?

What is a common disadvantage of Non-Probability Sampling?

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