CHAPTER 10 Flashcards
Different types of sample designs
the element selection technique, the representation basis
the element selection technique enumeration (2)
restricted and unrestricted sampling
When each sample element is drawn individually from the population at large, then the sample so drawn
unrestricted sampling
other forms of sampling are covered under this.
Restricted Sampling
is ‘non-random’ sampling.
non probability sampling
is a sampling procedure which does not afford any basis for estimating the probability that each item in the population has been included in the sample.
non probability sampling
Non-probability sampling is also known by different names such as
deliberate sampling, purposive sampling, judgement sampling
In this type of sampling, items for the sample are selected deliberately by the researcher; his choice concerning the items remains supreme.
non probability sampling
is based on the concept of random selection.
Probability sampling
Probability sampling is also known as
‘random sampling’ or ‘chance sampling’.
Under this sampling design, every item of the universe has an equal chance of inclusion in the sample.
Probability sampling
individual units are picked up from the whole group not deliberately but by some mechanical process
lottery method
Random sampling ensures the -___________ which states that if on an average the sample chosen is a random one, the sample will have the same composition and characteristics as the universe.
law of Statistical Regularity
is also an example of non-probability sampling. Under this the interviewers are simply given quotas to be filled from the different strata, with some restrictions on how they are to be filled. In other words, the actual selection of the items for the sample is left to the interviewer’s discretion.
quota sampling
This type of sampling is very convenient and is relatively inexpensive. But the samples so selected certainly do not possess the characteristic of random samples.
quota sampling
are essentially judgement samples and inferences drawn on their basis are not amenable to statistical treatment in a formal way.
Quota samples
sample design is made up of two elements.
Random sampling from a finite population and Random sampling (or simple random sampling)
refers to that method of sample selection which gives each possible sample combination an equal probability of being picked up and each item in the entire population to have an equal chance of being included in the sample. This applies to sampling without replacement i.e., once an item is selected for the sample, it cannot appear in the sample again
Random sampling from a finite population
It gives each element in the population an equal probability of getting into the sample; and all choices are independent of one another.
Random sampling (or simple random sampling)
The features of good sampling are stated below:
Sample design must result in a truly representative sample.
Sample design must be such which results in a small sampling error.
Sample design must be viable in the context of funds available for the research study.
Sample design must be such so that systematic bias can be controlled in a better way.
Sample should be such that the results of the sample study can be applied, in general, for the universe with a reasonable level of confidence.
Steps in Sampling Design in Research Methodology
type of universe, sampling unit, source of list, size of sample, parameters of interest, budgetary constraint, sampling procedure
type of universe
finite and infinite universe
The first step in developing any sample design is to clearly define the set of objects, technically called the _____, to be studied. The universe can be finite or infinite.
type of universe
the number of items is certain
finite universe