SAMPLING
SAMPLING
(
NON PROBABILITY SAMPLING
)
DR. PRIYANKA SHUKLA
ASSISTANT PROFESSOR &
RCI registered Clinical Psychologist
Department of Psychology
SAHSS &
LIFE LONG LEARNING AND EXTENSION
CSJM UNIVERSITY, KANPUR
Non Probability Sampling:
There is no way of assessing the probability of
the elements of the population being included in
the sample.
Types:
Quota Sampling
Accidental Sampling
Judgemental or Purposive Sampling
Systematic Sampling
Snowball Sampling
Saturation Sampling
Dense Sampling
Quota Sampling:
This is similar to
stratified random sampling, here
investigator recognize different strata of
population and from each strata he
selects the number of individual
arbitrarily. (this is only difference
between quota and stratified random
sampling, in stratified random sampling
sample drawn randomly from the strata.)
Purposive and Judgemental Sampling:
Here the investigator on the basis of his
impression makes a judgement regarding
the concerned cases and select them as a
sample.
Accidental Sampling:
The investigator does not care about
including the people with some specific or
designated traits, rather he is mainly
guided by convenience and economy.
Snowball Sampling:
Research
participates recruit other participants for
study.
Systematic Sampling:
All the items of
the universe are systematically arranged
and numbered and then sample units are
selected at equal intervals.
One item of the first selected numbers
would be selected at random.
Saturation Sampling & Dense Sampling:
Saturation sampling is defined as drawing all
elements or individuals having
characteristics of interest to the
investigator. Drawing all physicians having at
least the age of 45 (from a small
community), would be called saturation
sampling.
Dense sampling is a method of sampling
which lies somewhere between simple
random sampling and saturation sampling.
THANK YOU
Non-probability sampling methods like Quota Sampling, Judgemental Sampling, Systematic Sampling, and others offer various ways to select samples without considering probabilities. Learn about these methods and the differences between them to make informed decisions in your research studies.
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Presentation Transcript
SAMPLING (NON PROBABILITY SAMPLING) DR. PRIYANKA SHUKLA ASSISTANT PROFESSOR & RCI registered Clinical Psychologist Department of Psychology SAHSS & LIFE LONG LEARNING AND EXTENSION CSJM UNIVERSITY, KANPUR
Non Probability Sampling: There is no way of assessing the probability of the elements of the population being included in the sample. Types: Quota Sampling Accidental Sampling Judgemental or Purposive Sampling Systematic Sampling Snowball Sampling Saturation Sampling Dense Sampling
Quota Sampling: This is similar to stratified random sampling, here investigator recognize different strata of population and from each strata he selects the number of individual arbitrarily. (this is only difference between quota and stratified random sampling, in stratified random sampling sample drawn randomly from the strata.)
Purposive and Judgemental Sampling: Here the investigator on the basis of his impression makes a judgement regarding the concerned cases and select them as a sample. Accidental Sampling: The investigator does not care about including the people with some specific or designated traits, rather he is mainly guided by convenience and economy.
Snowball Sampling: Research participates recruit other participants for study. Systematic Sampling: All the items of the universe are systematically arranged and numbered and then sample units are selected at equal intervals. One item of the first selected numbers would be selected at random.
Saturation Sampling & Dense Sampling: Saturation sampling is defined as drawing all elements or individuals having characteristics of interest to the investigator. Drawing all physicians having at least the age of 45 (from a small community), would be called saturation sampling. Dense sampling is a method of sampling which lies somewhere between simple random sampling and saturation sampling.
