Sampling
Research Methods for Business
Definition…
Sampling is the process
of selecting a small number of elements
from a larger defined target group (Population)
of elements such that
the information gathered
from the small group will allow judgments
to be made about the larger groups.
Sampling is the act, process, or technique of selecting a suitable sample, or a representative part of a population for the purpose of determining parameters or characteristics of the whole population.
Definition…
Purpose Of Sampling …
To draw conclusions about populations from samples, which enables us to determine a population`s characteristics by directly observing only a portion (or sample) of the population. We obtain a sample rather than a complete enumeration (a census ) of the population for many reasons.
6 MAIN REASONS FOR SAMPLING…
REASONS FOR SAMPLING…
Important terminologies...
Population
The population refers to the entire group of people, events or things of interest that the researcher wishes to investigate.
Element
An element is the
single member of the population.
Sample
A sample is a subset of the population. it comprises some members from it.
study the desire outcome, then 200 members form the sample for the study.
A sample is thus a subgroup or subset of the population. By studying the sample, the researcher should be able to draw conclusions that are generalizable to the population of interest.
Sampling Unit
The sample unit is the element or the set of elements that is available for selection in some stage of the sampling process.
Example of sampling units in a multi stage sample are city blocks, house hold, and individuals with in the households.
Subject
A subject is a single member of the sample just as an element is a single member of the population.
Representative of Sampling...�
Acknowledgments to Uma Sekaran
What is a Good Sample?
Sampling error is any type of bias
that is attributable to mistakes
in either drawing a sample or
determining the sample size.
Sampling Process…
Define the Population
Determine the Sampling Frame
Select Sampling Technique(s)
Determine the Sample Size
Execute the Sampling Process
Defining Population of Interest…
Population of interest is entirely dependent on Management Problem, Research Problems, and Research Design.
Some Bases for Defining Population:
Sampling Frame …
A list of population elements (people, companies, houses, cities, etc.) from which units to be sampled can be selected.
Sampling Methods/Techniques
Probability
Sampling
Nonprobability
Sampling
Sampling Methods/Techniques/Types
Sampling Techniques
Nonprobability
Sampling Techniques
Probability
Sampling Techniques
Convenience
Sampling
Judgmental
Sampling
Quota
Sampling
Snowball
Sampling
Systematic
Sampling
Stratified
Sampling
Cluster
Sampling
Other Sampling
Techniques
Simple Random
Sampling
Probability Sampling Designs
A probability sample is one that gives every member of the population a known chance of being selected.
All are selected randomly.
Simple Random Sampling
Simple random sampling is a method of probability sampling in which every unit has an equal nonzero
chance of being selected
Systematic Sampling
Systematic Random Sampling is a method of probability sampling in which the defined target population is ordered and the sample is selected according to position using a skip interval.
Stratified Sampling
Stratified Random Sampling is a method of probability sampling in which the population is divided into different subgroups and samples are selected from each
Cluster Sampling
Nonprobability Sampling
…Nonprobability sample is an arbitrary grouping that limits the use of some statistical tests. It is not selected randomly.
Classifications of Nonprobability Sampling
Convenience Sampling
Convenience sampling attempts to obtain a sample of convenient elements. Often, respondents are selected because they happen to be in the right place at the right time.
respondents.
Judgmental Sampling
Judgmental sampling is a form of convenience sampling in which the population elements are selected based on the judgment of the researcher.
Quota Sampling
Quota sampling may be viewed as two-stage restricted judgmental sampling.
Population Sample� composition composition�Control �Characteristic Percentage Percentage Number�Sex� Male 48 48 480� Female 52 52 520� ____ ____ ____� 100 100 1000
Snowball Sampling
In Snowball Sampling, an initial group of respondents is selected, usually at random.
Factors to Consider in Sample Design
Research objectives
Degree of accuracy
Resources
Time frame
Knowledge of
target population
Research scope
Determining Sample Size
Conclusion
In conclusion, it can be said that using a sample in research saves mainly on money and time, if a suitable sampling strategy is used, appropriate sample size selected and necessary precautions taken to reduce on sampling and measurement errors, then a sample should yield valid and reliable information.