scalevova.blogg.se - Advantages and disadvantages of simple random sampling

Groups are formed in such a way that it does not overlap. Stratified sampling: Stratified sampling is a type of sampling under which whole population is divided into distinct small sub-groups based on various individual traits such as gender, age, job role and income.This sampling technique is less time-consuming as it has predefined range. All members are properly numbered and then chosen at regular intervals instead of randomly generating numbers. Systematic sampling: Systematic sampling is method in which participants are selected from population using a systematic/orderly manner.However, this method may not represent whole population accurately and involve biasness. Convenience sampling is an easy and inexpensive method under which participants are chosen by researcher on the basis of their easy accessibility. Convenience sampling: It is a technique under which individual from target population is chosen on the basis of their easy availability and willingness to take part in survey.

Under random sampling, whole population need to be properly numbered or names should be allotted to it and then a raffle method is used for making the sample. It is most reliable method which ensures fairness and eliminates any biasness.

Random sampling: Random sampling is a technique under which every member of population has equal chance of being selected in sample units.

Various types of sampling are as discussed below: – It must be capable of easily understood and applicable in fieldwork.

Practical: Design of sample should be simple and practical.

It will ensure that sample is a fair representative of whole population.

Random selection: Sample units should be selected on a random basis under which every unit has an equal chance of being chosen.

Economical: Process of sampling should be economical requiring minimum cost and efforts for attaining the objectives of survey.

Sample must ensure proper accuracy for carrying out the particular research study. It should be large enough for representing the whole universe and must provide statistical reliability.

Proportional: Size of sample should be proportional with the size of population.

There are different methods of choosing a sample and it need to be chosen with utmost care as improper sampling would lead to error in survey. It should fairly represent details about all units without any biasness.

Proper universe representation: Sample chosen should adequately represent the characteristics of whole population from which it is taken.

It must align clearly with the objectives of research being conducted and should be in accordance with conditions of survey.

Goal-oriented: Design of sampling should be goal oriented.

Various characteristics of sampling are discussed in points given below: – Sampling is mostly used by businesses for studying the needs and preferences of people in market. Probability and non-probability sampling are two common sampling methodologies. Methodology to be used for the technique of sampling depends upon type of analysis being conducted by researcher. Samples drawn from population are used by researcher for making statistical inferences and estimating the information about whole population. These sampling units represent the characteristics of whole population and should not reflect bias towards a particular attribute. Under this technique, to ease the process of doing a research on whole population, it is divided into small sampling unit. Sampling is most widely used in statistical testing where size of population is too large such that it is impossible to include each individual observation in test. The selected pattern is termed as sample which is a small and manageable version of large set of data. Sampling refers to the method of selecting a small pattern of data from large population for the purpose of carrying out an investigation.