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

A

Systematic sampling

Q

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

A

Stratified / stratified random sampling

Q

Applicable for large population

A

Stratified / stratified random sampling

Q

Applicable for Not homogeneous

A

Stratified / stratified random sampling

Q

Focuses on important subpopulations

A

Stratified / stratified random sampling

Q

Allows use of different sampling techniques for different subpopulations

A

Stratified / stratified random sampling

Q

Improves the accuracy/efficiency of estimation

A

Stratified / stratified random sampling

Q

Complex, requires strata to be clearly and carefully defined

A

Stratified / stratified random sampling

Q

Two types of Stratified Sampling

A

Proportional and Non- proportional

Q

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

A

Proportional sampling

Q

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

A

Non-proportionate sampling

Q

naturally occurring units or grouping within populations

A

Cluster sampling ( multistage cluster.S)

Q

Relatively easy and economical

A

Cluster sampling ( multistage cluster.S)

Q

Useful when list of population members not available or widely dispersed

A

Cluster sampling ( multistage cluster.S)

Q

Other elements in the same cluster may share similar characteristics

A

Cluster sampling ( multistage cluster.S)

Q

Standard errors of the estimates are high

A

Cluster sampling ( multistage cluster.S)

Q

chosen based on their relative ease of access

who volunteer

A

Convenience sampling

Q

data can be collected quickly and for a low cost

A

Convenience sampling

Q

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

A

Consecutive Sampling

Q

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

A

Purposive sampling

Q

Hand-pick subjects on the basis of specific characteristics

A

Purposive sampling

Q

Sample with a specific purpose in mind

A

Purposive sampling

Q

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

A

Quota sampling

Q

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

A

Snow ball sampling