Sampling Design in Research Methodology
A sampling design is crucial in research, determining how items are selected for a sample. Learn about characteristics, types, and examples of probability and non-probability sampling designs, including complex random sampling methods.
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Govt. Pt. Shyamacharan Shukla College, Dharsiwa Value Added Course on Research Methodology Organized by IQAC Sampling Design Dr. Rashmi Kujur Assistant Professor Department of Sociology Govt. Pt. S.C. Shukla College, Dharsiwa Raipur C.G.
Sampling Design : Meaning and Definition A sample design is obtaining population. It refers to the technique or the procedure the researcher would adopt in selecting items for the sample . definite plan for from a a sample given
Characteristics of A Good Sampling Design 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 result of the sample study can be applied, in general, for the universe with a reasonable level of confidence.
Types of Sampling Design Finite Population/ universe:-the number of item is certain. Non-Probability Sampling Design Infinite Population:- we can not have any idea about the total number of items. Probability Sampling Design
Non Probability Sampling Design It is a kind of sampling procedure which does not afford any basis for estimating the probability that each item in the population has of being included in the sample. It is also known by different names such as deliberate sampling, purposive sampling and judgement sampling. Quota sampling is also an example of non- probability sampling. Under quota sampling the interviewers are simply given quotas to be filled from the different strata, with some restrictions on how they are to be filled. Example: purposive selection of sample from specific economic or social status groups.
Probability Research Design Probability sampling is also known RandomSampling or Chancesampling , Under this sampling design, every item of the universe has an equal chance of inclusion in the sample. HOW TO SELECT A RANDAM SAMPLE ?(Simple Random Sample) @ Lottery Method @Tippet Method 2952 3170 3408 0560 6641 5624 5356 2769 3992 4167 1300 6913
Complex Random Sampling Design Systematic Sampling Stratified Sampling Cluster Sampling Area Sampling Multi- Stage Sampling
