A questionnaire has little to do with sampling technique. Sampling technique is to do with who gets the questionnaire and that can be any sampling technique: the questionnaire can be sent to everyone (census), to a random sample, stratified random samples, to random samples in clusters, by quota or convenience. Or a pile of questionnaires can be left for respondents to pick up - self-selection.
Disadvantages of systematic sampling: © The process of selection can interact with a hidden periodic trait within the population. If the sampling technique coincides with the periodicity of the trait, the sampling technique will no longer be random and representativeness of the sample is compromised.
So-called accidental sampling. Please see the link.
Stratified Sampling Method Stratified sampling is a probability sampling technique wherein the researcher divides the entire population into different subgroups or strata, then randomly selects the final subjects proportionally from the different strata.
It can interact with a hidden periodic trait within a population hence the technique will be compromised since there will not be random and representativeness of the saple
Random Sampling is the most common sampling technique
stratified sampling technique
Quota sampling.
try researching about total enumeration technique... it's the other name for universal sampling technique ^_^ Good luck..
A questionnaire has little to do with sampling technique. Sampling technique is to do with who gets the questionnaire and that can be any sampling technique: the questionnaire can be sent to everyone (census), to a random sample, stratified random samples, to random samples in clusters, by quota or convenience. Or a pile of questionnaires can be left for respondents to pick up - self-selection.
Clustered sampling.Clustered sampling.Clustered sampling.Clustered sampling.
chicken dippers!
Stratified sampling
Disadvantages of systematic sampling: © The process of selection can interact with a hidden periodic trait within the population. If the sampling technique coincides with the periodicity of the trait, the sampling technique will no longer be random and representativeness of the sample is compromised.
Two factors that affect the choice of a sampling technique are the population size and the level of accuracy required. For large populations, it may be more practical to use a random sampling technique, while for small populations, a convenience sampling technique may be sufficient. Additionally, if high accuracy is required, a stratified sampling technique may be more appropriate to ensure representation of all subgroups within the population.
So-called accidental sampling. Please see the link.
stratified