Sampling Techniqes
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This document provides an overview of sampling methods and techniques. It defines key terms like population, sampling, sample, and discusses the qualities of a good sample. The main types of sampling covered are probability sampling methods like simple random sampling, systematic sampling, stratified sampling, cluster sampling, and multi-stage sampling. Non-probability sampling methods like accidental sampling and purposive sampling are also outlined. Probability sampling uses random selection to give all units an equal chance of being selected, while non-probability sampling does not.
Sampling Techniqes
- 1. SAMPLING METHODS AND TECHNIQUES PREPAIRED BY MS. RAJNI BALA M.LIB,M.PHIL. DEPTT. OF LIBRARY & INFORMATION SCIENCE KURUKSHETRA UNIVERSITY, KURUKSHETRA
- 2. KEY TERMS OF SAMPLING POPULATION SAMPLING SAMPLE QUALITIES OF GOOD SAMPLE TYPES OF SAMPLING PROBABILITY SAMPLING NON PROBABILITY SAMPLING
- 3. POPULATIO All item in any field of inquiry is called a population. It can be any Institute, Group, Student, Company, University library etc.
- 4. SAMPLING The process of selecting a sample from a population using special sampling techniques called sampling. It should be ensured in the sampling process itself that the sample selected is representative of the population.
- 5. Sample Sample is a small section of population. The sampling is a common activity in our day to day work
- 7. DEFINITION OF SAMPLING Sampling design in fact means the joint processor to selection and estimation. It should be such error of estimation is minimum
- 8. QUALITIES OF GOOD SAMPLING A Good Sample is true A good sample maintains accuracy. A good sample is comprehensive in nature A good sample free from bias. A good sample also economical The subjects of good sample are easily approachable A good sample makes the research work more feasible. A good sample has the practicability for research situation.
- 10. TYPES OF SAMPLING • . Probability sample – a method of sampling that uses of random selection so that all units/ cases in the population have an equal probability of being chosen. • Non-probability sample – does not involve random selection and methods are not based on the rationale of probability theory.
- 11. TYPES OF PROBABILITY SAMPLING Simple Random Sampling Systematic Sampling Stratified Sampling Cluster Sampling Multi-Stage Sampling
- 12. SIMPLE RANDOMSAMPLING Random selection is a sampling method in which each and every item has an equal chance of selection.
- 13. SYSTEMATIC SAMPLING This is a selection method in which one or two items are selected randomly, but other items are selected by adding the average sampling interval to the item selected randomly
- 14. STRATIFIED SAMPLING When the population is divided into different strata's or groups and then samples are selected from each stratum by simple random sampling procedure, we call it as stratified random sampling
- 15. CLUSTER SAMPLE The population is divided into subgroups (clusters) like families. A simple random sample is taken of the subgroups and then all members of the cluster selected are surveyed
- 16. MULTI-STAGE SAMPLING Multistage refer to sampling plans where the sampling is carried out in stages using smaller and smaller sampling units at each stage
- 17. TYPES OF NON-PROBABILITY SAMPLING 1.Accidental Sampling Accidental sampling is also based upon convenience in accessing the sampling population. In which involves the sample drawn from that part of the population which is close to hand.
- 18. 2.PURPOSIVE SAMPLING We actually choose whom to involve in a sample. In purposive sampling, we sample with a purpose in mind. We usually would have one or more specific predefined groups we are seeking.
- 19. Quota Sampling In quota sampling, you select people non randomly according to some fixed quota. The population is divided into cells on the basis of relevant control characteristics. 50 women, 50 men The problem here (as in much purposive sampling) is that we have to decide the specific characteristics on which you will base the quota. Will it be by gender, age, education race, religion, etc.?
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