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Flashcards in Probability Deck (19):
1

A sampling technique that involves probability and random selection

Probability Sampling Technnique

2

Types of Probability Sampling Technique

1. Simple Random
2. Systematic
3. Stratified
4. Cluster

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Chosen at random with members of the population having equal probability
e.g. lottery

Simple Random Sampling

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randomly chosen but following certain rules

Systematic random Sampling

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used when the population is too big and you divide the population into a sample size (N to n)
subgroups are called Strata (plural) Stratum (singular)
aims for the individual


Stratified Random Sampling

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The sample sizes are equal in the strata

Equal Allocation

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The sample sizes are proportional in the strara

Proportional Allocation

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used when the population is too big
subgroups are called clusters
aims for randomly selecting GROUPS

Cluster Sampling

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does not include random selecting of samples. Personal judgement plays a very important role.

Non-probability sampling

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types of Non-probability sampling

1. Accidental/Haphazard or Convenience sampling
2. Purposive Sampling

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type of non-probability sampling that is based on the convenience of the researchers

Accidental/Haphazard or Convenience sampling

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samples are chosen with a purpose in mind
predetermined criteria

Purposive sampling

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Three types of Purposive Sampling:

Modal Instance Sampling
Expert Sampling
Quota Sampling

14

sampling for specific groups or type of people
The most frequent case
e.g. informal public opinion polls

Modal Instance Sampling (purposive sampling)

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Involves assembling a sample of person with known or demonstrative experience and expertise in some area

Expert Sampling

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selected non-randomly according to some fixed quota

Quota Sampling

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Two types of Quota Sampling

Proportional quota sampling
Non-proportional quota sampling

18

grouping people with different opinions proportionately

Heterogenity Sampling (purposive sampling)

19

identifying someone who meets the criteria then ask for a recommendation

snowball sampling (purposive sampling