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What is the difference between sampling frame and sampling uinit?
Samplig frame is the source material from which the sample is drawn. If you have a 'list' of names of all inviduals from which you could draw a sample, the list is a sampling frame. A samplig unit is the sample being chosen.
Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?
Answer is Quota sampling. Its one of the method of non-probability sampling.
What are the reasons for choosing random sampling method for ones research work and what is random sampling method anyway?
because it is the simplest sampling technique which requires less time and cost.
What is the preferred method to select a sample population?
simple random sampling method
What is wrong with this type of sampling method?
What is wrong is that the method has not been properly specified.
What random samples does not require a sampling frame?
Random samples that do not require a sampling frame include convenience sampling and snowball sampling. In convenience sampling, researchers select individuals who are easily accessible, while snowball sampling relies on existing study subjects to recruit additional participants, often used in hard-to-reach populations. Both methods do not require a comprehensive list of the entire population, which is a key characteristic of traditional sampling frames.
Define sampling design?
Sampling is a method of selecting experimental units from a population so that we can make decision about the population. Sampling design is a design, or a working plan, that specifies the population frame,sample size, sample selection, and estimation method in detail. Objective of the sampling design is to know the characteristic of the population.
What is Sampling frame?
A sampling frame is defined as the complete list or a map that contains all the "n" sampling units in a population
What sampling techniques does not need sampling frame?
Non-probability sampling techniques do not require a sampling frame. Examples include convenience sampling, where subjects are selected based on availability, and purposive sampling, where participants are chosen based on specific characteristics or criteria relevant to the research. These methods rely on the researcher's judgment rather than a complete list of the population. However, they may introduce bias and limit the generalizability of the findings.
What sampling method?
Random Sampling
Is convenience sampling method not a random sampling?
You are correct; convenience sampling is not random sampling.
What is bias sample?
Sampling bias occurs when the sampling frame does not reflect the characteristics of the population which is being tested. Biased samples can result from problems with either the sampling technique or the data-collection method. Essentially, the group does not reflect the population which is supposed to be represented in the given survey or test. For example: If the question being asked in a survey was "do American's prefer Coca-Cola or Pepsi?" and all people asked were under 18 and from California, there would be a sampling bias as the sampling frame would not accurately represent "American's".
What is the difference between sampling frame and sampling uinit?
Samplig frame is the source material from which the sample is drawn. If you have a 'list' of names of all inviduals from which you could draw a sample, the list is a sampling frame. A samplig unit is the sample being chosen.
What is the importance of sampling frame?
A sampling frame is crucial because it serves as the list or database from which a sample is drawn, ensuring that researchers can select participants who accurately represent the larger population. A well-defined sampling frame minimizes sampling bias and enhances the validity of survey results. It facilitates systematic data collection, allowing for more reliable and generalizable conclusions. Without a proper sampling frame, the quality of research findings can be severely compromised.
Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?
Answer is Quota sampling. Its one of the method of non-probability sampling.
What are the reasons for choosing random sampling method for ones research work and what is random sampling method anyway?
because it is the simplest sampling technique which requires less time and cost.
What is the instantaneous sampling?
Instantaneous sampling is one method used for sampling a continuous time signal into discrete time signal. This method is called as ideal or impulse sampling. In this method, we multiply a impulse function with the continuous time signal to be sampled. The output is instantaneously sampled signal.
