By Sourabh Modgil

SAMPLING DESIGN

Sample DesignA sample design is a definite plan for obtaining a

sample from a given population.It refers to the technique or the procedure the researcher would

adopt in selecting items for the sample.

Steps in Sample Design

Type of universe Sampling unit Source list Size of sample Parameters of interest Budgetary constraint Sampling procedure

Criteria of selecting a Sampling Procedure

There are two types of costs are involved in a sampling analysis:- Cost of collecting the data Cost of an incorrect inference

Two causes of incorrect inferences:- Systematic bias Sampling error

Characteristics of a Good Sample Design Small sampling errors Viable in the context of funds available Systematic bias can be controlled in a better way

Types of Sample Designs Non-probability sampling Probability sampling

Non-probability SamplingNon-probability sampling is that sampling is

procedure which does not afford any basis for estimating the probability that each item in the population has of being included in the sample.

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

Systematic sampling Stratified sampling Multi-stage sampling Cluster sampling Area sampling Sequential sampling Sampling with probability proportional to size