Sampling in quantitative research

Август 1, 2022

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Sampling in quantitative research

Содержание

2. Question Tell whether the following statement is true or false: The aggregate of cases in which
3. Answer False The aggregate of cases in which a researcher is interested is called a population.
4. Basic Sampling Concepts in Quantitative Studies Population: the aggregate of cases in which a researcher is
5. Eligibility Criteria Establish population characteristics Determine participation in study Maximize construct validity Inclusion Exclusion
6. Question Tell whether the following statement is true or false: Researchers usually sample from the target
7. Answer False Researchers usually sample from the accessible population but should identify the target population to
8. Basic Sampling Concepts in Quantitative Studies Representative sample A sample whose key characteristics closely approximate those
9. Question Tell whether the following statement is true or false: Probability sampling involves random selection of
10. Answer True Probability sampling involves random selection of elements.
11. Basic Sampling Concepts in Quantitative Studies (cont.) Probability sampling Involves random selection of elements Nonprobability sampling
12. Nonprobability Sampling Convenience sampling Snowball sampling Quota sampling Consecutive sampling Purposive sampling
13. Probability Sampling Simple random sampling Stratified random sampling Multistage sampling Cluster sampling Systematic sampling
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Слайд 2

Question
Tell whether the following statement is true or false:
The aggregate of

cases in which a researcher is interested is called a sample.

Слайд 3

Answer
False
The aggregate of cases in which a researcher is interested is

called a population. A sample is selection of a portion of the population to represent the entire population.

Слайд 4

Basic Sampling Concepts in Quantitative Studies
Population: the aggregate of cases in

which a researcher is interested
Sampling: selection of a portion of the population (a sample) to represent the entire population
Element: basic population unit about which information is collected

Слайд 5

Eligibility Criteria
Establish population characteristics
Determine participation in study
Maximize construct validity
Inclusion
Exclusion

Слайд 6

Question
Tell whether the following statement is true or false:
Researchers usually sample

from the target population.

Слайд 7

Answer
False
Researchers usually sample from the accessible population but should identify the

target population to which they want to generalize their results.

Слайд 8

Basic Sampling Concepts in Quantitative Studies
Representative sample
A sample whose key characteristics

closely approximate those of the population
Sampling bias
The systematic over- or underrepresentation of segments of the population on key variables

Слайд 9

Question
Tell whether the following statement is true or false:
Probability sampling involves

random selection of elements.

Слайд 10

Answer
True
Probability sampling involves random selection of elements.

Слайд 11

Basic Sampling Concepts in Quantitative Studies (cont.)
Probability sampling
Involves random selection of

elements
Nonprobability sampling
Does not involve selection of elements at random

Слайд 12

Nonprobability Sampling
Convenience sampling
Snowball sampling
Quota sampling
Consecutive sampling
Purposive sampling

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Probability Sampling
Simple random sampling
Stratified random sampling
Multistage sampling
Cluster sampling
Systematic sampling