🗊 Презентация Sampling in quantitative research

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Sampling in quantitative research, слайд №1 Sampling in quantitative research, слайд №2 Sampling in quantitative research, слайд №3 Sampling in quantitative research, слайд №4 Sampling in quantitative research, слайд №5 Sampling in quantitative research, слайд №6 Sampling in quantitative research, слайд №7 Sampling in quantitative research, слайд №8 Sampling in quantitative research, слайд №9 Sampling in quantitative research, слайд №10 Sampling in quantitative research, слайд №11 Sampling in quantitative research, слайд №12 Sampling in quantitative research, слайд №13 Sampling in quantitative research, слайд №14

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Слайды и текст этой презентации


Слайд 1


Sampling in quantitative research, слайд №1
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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.
Описание слайда:
Question Tell whether the following statement is true or false: The aggregate of cases in which a researcher is interested is called a sample.

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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...
Описание слайда:
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.

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Basic Sampling Concepts in Quantitative Studies Population: the aggregate of cases in which a researcher is interested Sampling: selection of a...
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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

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

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Question Tell whether the following statement is true or false: Researchers usually sample from the target population.
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Question Tell whether the following statement is true or false: Researchers usually sample from the target population.

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Answer False Researchers usually sample from the accessible population but should identify the target population to which they want to generalize...
Описание слайда:
Answer False Researchers usually sample from the accessible population but should identify the target population to which they want to generalize their results.

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Basic Sampling Concepts in Quantitative Studies Representative sample A sample whose key characteristics closely approximate those of the population...
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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

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Question Tell whether the following statement is true or false: Probability sampling involves random selection of elements.
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Question Tell whether the following statement is true or false: Probability sampling involves random selection of elements.

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Answer True Probability sampling involves random selection of elements.
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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...
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Basic Sampling Concepts in Quantitative Studies (cont.) Probability sampling Involves random selection of elements Nonprobability sampling Does not involve selection of elements at random

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Nonprobability Sampling Convenience sampling Snowball sampling Quota sampling Consecutive sampling Purposive sampling
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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
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Probability Sampling Simple random sampling Stratified random sampling Multistage sampling Cluster sampling Systematic sampling

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Power Analysis Estimate sample size Large samples preferred to small samples
Описание слайда:
Power Analysis Estimate sample size Large samples preferred to small samples



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