What type of Sampling technique is it when researcher ‘selects samples as and when s/he gets them’ in the process of data collection ?
Incidental
Incidental (accidental) sampling is a non-probability method in which the researcher takes as sample whichever units he or she happens to come across during data collection — samples are selected “as and when” they are met.
Random sampling gives every unit an equal chance of selection by a chance mechanism; purposive sampling deliberately picks units that suit the study's purpose; snowball sampling builds the sample through referrals from initial respondents. None of these is selection “as and when” units become available.
Hence, the answer is Incidental.
In a study, participants are recruited from local schools in urban area. The study is conducted on saturday so only the saturday working school take part. What type of sample is this ?
Multistage cluster sampling is helpful when :
When a research problem is related to heterogeneous population, the most suitable method is :
A researcher selects a probability sample of 100 out of the total population, it is called :
When the population is divided into subsets such that the units within the subset are as heterogeneous as possible and are as homogeneous as possible among themselves, the sampling method is called as :
The standard error of sample mean based on 100 observations from normal distribution with mean 50 and standard deviation 5 is ............ .
Sampling error can be reduced by :
A magazine printed a survey in its monthly issue and asked readers to fill it out and send it in. Over 1000 readers did so. What is this type of sample called ?
Which is the sampling technique that allows every unit in the population an equal chance of being selected ?
......................... is a preferred sampling method for the population with finite size.
In a study, participants are recruited from local schools in urban area. The study is conducted on saturday so only the saturday working school take part. What type of sample is this ?