Sampling Flashcards by m3ali alfarsi

Q

Applicable for small population

A

Simple random sampling

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Q

Applicable for Homogeneous

A

Simple random sampling

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Q

Applicable for Readily available

A

Simple random sampling

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Q

Gives maximum number of samples

A

Simple random sampling

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Q

Highly representative

A

Simple random sampling

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Q

Requires complete list of population members

A

Simple random sampling

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Q

Uneconomical for large populations

A

Simple random sampling

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Q

each element of the frame has an equal probability of selection

A

Simple random sampling

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Q

selecting elements at regular intervals through that ordered list

A

Systematic sampling

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Q

Applicable for large population

A

Systematic sampling

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Q

Applicable for Scattered

A

Systematic sampling

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Q

Easier

A

Systematic sampling

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Q

Good coverage of the study area

A

Systematic sampling

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Q

More biased

A

Systematic sampling

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Q

Under or over representation of a pattern

A

Systematic sampling

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Q

Provides the least number of possible samples

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A

Systematic sampling

Q

frame can be organized by distinct categories into separate “strata”

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A

Stratified / stratified random sampling

Q

Applicable for large population

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A

Stratified / stratified random sampling

Q

Applicable for Not homogeneous

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A

Stratified / stratified random sampling

Q

Focuses on important subpopulations

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A

Stratified / stratified random sampling

Q

Allows use of different sampling techniques for different subpopulations

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A

Stratified / stratified random sampling

Q

Improves the accuracy/efficiency of estimation

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A

Stratified / stratified random sampling

Q

Complex, requires strata to be clearly and carefully defined

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A

Stratified / stratified random sampling

Q

Two types of Stratified Sampling

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A

Proportional and Non- proportional

Proportionate representation is given to subgroups or strata each stratum is represented according to its size

Proportional sampling

Equal representation is given to all the substrata regardless of their existence in the population

Non-proportionate sampling

naturally occurring units or grouping within populations

Cluster sampling ( multistage cluster.S)

Relatively easy and economical

Cluster sampling ( multistage cluster.S)

Useful when list of population members not available or widely dispersed

Cluster sampling ( multistage cluster.S)

Other elements in the same cluster may share similar characteristics

Cluster sampling ( multistage cluster.S)

Standard errors of the estimates are high

Cluster sampling ( multistage cluster.S)

chosen based on their relative ease of access who volunteer

Convenience sampling

data can be collected quickly and for a low cost

Convenience sampling

seeks to include ALL accessible subjects as part of the sample Every subject meeting the criteria of inclusion is selected until the required sample size is achieved

Consecutive Sampling

chooses the sample based on who they think would be appropriate for the study

Purposive sampling

Hand-pick subjects on the basis of specific characteristics

Purposive sampling

Sample with a specific purpose in mind

Purposive sampling

ensures equal or proportionate representation of subjects depending on which trait is considered as basis

Quota sampling

design where existing study subjects recruit further subjects from their acquaintances, especially when no lists are available

Snow ball sampling