Comparison of Sampling Methods and Research Designs

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What must be defined before the research starts when considering the population for a study?

Observation units (correct)

Factual/content-related aspects

Temporal aspects

Geographical aspects

Which differentiation aspect may cause problems during the implementation of a sampling plan?

Factual/content-related aspects

Temporal aspects (correct)

Geographical aspects

Population definition

According to Bortz & Schuster (2016), which type of differentiation often leads to definition problems?

Geographical aspects

Factual/content-related aspects (correct)

Population characteristics

Temporal aspects

In a survey among students at the University of Zurich, which aspect would differentiate the population based on the year they joined the university?

Age-related aspects Signup and view all the answers

Which element must be carefully established to ensure clear differentiation criteria within a population?

Differentiation criteria Signup and view all the answers

Why is it crucial to define observation units before research starts in a population study?

To ensure accurate representation of the population Signup and view all the answers

Which type of sampling allows for inference to the entire population?

Random sampling Signup and view all the answers

In which type of sampling is the creation of a theory or hypothesis possible?

Arbitrary sampling Signup and view all the answers

What is the purpose of using design weights in statistical analyses?

To adjust the data to more accurately represent the population Signup and view all the answers

In which type of sampling is it necessary to know the structure of the population?

Random sampling Signup and view all the answers

What is the primary advantage of arbitrary sampling according to the critical rationalism perspective (Karl Popper)?

It allows for the falsification of theories Signup and view all the answers

Which type of sampling is based on a quantitative research design?

Both random sampling and purposive sampling Signup and view all the answers

What is the purpose of using disproportional stratified sampling in the examples provided?

To increase the sample size of the smaller strata and improve the quality of the estimates Signup and view all the answers

What is the purpose of using a design weight in the examples provided?

To adjust for the disproportional sampling rates used in the different strata Signup and view all the answers

What is the main advantage of using cluster sampling mentioned in the text?

It allows for the selection of a representative sample without the need for a complete list of the population Signup and view all the answers

What is the primary purpose of oversampling the '5+ Persons' stratum in Case B?

To improve the quality of the estimates for the smaller '5+ Persons' stratum Signup and view all the answers

What is the key difference between proportional and disproportional stratified sampling mentioned in the text?

Proportional sampling selects the same number of cases from each stratum, while disproportional sampling selects a different number of cases from each stratum Signup and view all the answers

What is the primary advantage of using stratified random sampling over simple random sampling mentioned in the text?

It facilitates the analysis of differences between strata Signup and view all the answers

Comparison of Sampling Methods and Research Designs

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Questions and Answers

What must be defined before the research starts when considering the population for a study?

Which differentiation aspect may cause problems during the implementation of a sampling plan?

According to Bortz & Schuster (2016), which type of differentiation often leads to definition problems?

In a survey among students at the University of Zurich, which aspect would differentiate the population based on the year they joined the university?

Which element must be carefully established to ensure clear differentiation criteria within a population?

Why is it crucial to define observation units before research starts in a population study?

Which type of sampling allows for inference to the entire population?

In which type of sampling is the creation of a theory or hypothesis possible?

What is the purpose of using design weights in statistical analyses?

In which type of sampling is it necessary to know the structure of the population?

What is the primary advantage of arbitrary sampling according to the critical rationalism perspective (Karl Popper)?

Which type of sampling is based on a quantitative research design?

What is the purpose of using disproportional stratified sampling in the examples provided?

What is the purpose of using a design weight in the examples provided?

What is the main advantage of using cluster sampling mentioned in the text?

What is the primary purpose of oversampling the '5+ Persons' stratum in Case B?

What is the key difference between proportional and disproportional stratified sampling mentioned in the text?

What is the primary advantage of using stratified random sampling over simple random sampling mentioned in the text?

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