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Introduction To Sampling: Why Sample?

The document introduces sampling and describes why it is used. A sample is a subset of a population that is used to make inferences about that population. Sampling is done due to constraints of resources like time and money. There are two main types of sampling: probability sampling, where every element has an equal chance of being selected, and non-probability sampling, where not every element has an equal chance. Specific probability sampling methods include simple random sampling, systematic sampling, stratified random sampling, cluster sampling, and area sampling. Non-probability sampling methods include convenient sampling, purposive sampling, quota sampling, snowball sampling.

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SANTHOSH KUMAR V
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64 views16 pages

Introduction To Sampling: Why Sample?

The document introduces sampling and describes why it is used. A sample is a subset of a population that is used to make inferences about that population. Sampling is done due to constraints of resources like time and money. There are two main types of sampling: probability sampling, where every element has an equal chance of being selected, and non-probability sampling, where not every element has an equal chance. Specific probability sampling methods include simple random sampling, systematic sampling, stratified random sampling, cluster sampling, and area sampling. Non-probability sampling methods include convenient sampling, purposive sampling, quota sampling, snowball sampling.

Uploaded by

SANTHOSH KUMAR V
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PPTX, PDF, TXT or read online on Scribd
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Introduction to Sampling

A sample is “a smaller (but hopefully representative)


collection of units from a population used to determine truths
about that population” (Field, 2005)
A sample is a “subgroup of population”

Why sample?
o Resources (time, money) and workload
o Gives results with known accuracy that can be calculated
mathematically
Sampling

STUDY POPULATION

SAMPLE

TARGET POPULATION

2
Element

Sample

Subject
Types of sampling

Probability Nonprobability
Sampling Sampling

Every element in the Every element in the


population has equal population may not has
opportunity to be chosen equal opportunity to be
as a sample chosen as a sample
Types of sampling

Probability Nonprobability
Sampling Sampling
1. Simple random sampling 1. Convenient sampling
2. Systematic sampling 2. Purposive sampling
3. Stratified random sampling 3. Quota sampling
a. Proportionate 4. Snowball sampling
b. Disproportionate
4. Cluster sampling
5. Area sampling
Types of sampling

Probability Nonprobability
Sampling Sampling
1. Simple random sampling
Types of sampling

Probability Nonprobability
Sampling Sampling
2. Systematic sampling
Types of sampling

Probability Nonprobability
Sampling Sampling
3. Stratified random sampling
a. Proportionate
b. Disproportionate

The strata may be on the level of hierarchy


Types of sampling

Probability Nonprobability
Sampling Sampling
4. Cluster sampling
Types of sampling

Probability Nonprobability
Sampling Sampling
5. Area sampling

It is a form of cluster sampling within an area. Used when the


research pertains to populations within identifiable geographical areas
such as countries, city blocks/particular boundaries, within a locality.
Example: sampling the need of consumers before opening a 24 hours convenient
store in a particular part of the town.
Types of sampling

Probability Nonprobability
Sampling Sampling
1. Convenient sampling

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