Sampling in quantitative research презентация

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 1
Chapter 12 Sampling in Quantitative Research


Слайд 2Question
Tell whether the following statement is true or false:

The aggregate of

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



Слайд 3Answer
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 4Basic 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 5Eligibility Criteria
Establish population characteristics
Determine participation in study
Maximize construct validity
Inclusion
Exclusion


Слайд 6Question
Tell whether the following statement is true or false:

Researchers usually sample

from the target population.

Слайд 7Answer
False

Researchers usually sample from the accessible population but should identify the

target population to which they want to generalize their results.


Слайд 8Basic 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 9Question
Tell whether the following statement is true or false:

Probability sampling involves

random selection of elements.




Слайд 10Answer
True

Probability sampling involves random selection of elements.


Слайд 11Basic Sampling Concepts in Quantitative Studies (cont.)
Probability sampling
Involves random selection of

elements
 
Nonprobability sampling
Does not involve selection of elements at random


Слайд 12Nonprobability Sampling
Convenience sampling
Snowball sampling
Quota sampling
Consecutive sampling
Purposive sampling



Слайд 13Probability Sampling
Simple random sampling
Stratified random sampling
Multistage sampling
Cluster sampling
Systematic sampling


Слайд 14Power Analysis
Estimate sample size
Large samples preferred to small samples


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