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Printable Handouts
Navigable Slide Index
- Introduction
- Overview
- The population of the study
- Samples and sampling in research
- The population, sample, unit/case
- The issue of representation
- Sampling methods
- Probability sampling
- The sampling frame
- Non-probability sampling
- Non-probability sampling example
- Saturation point – qualitative research
- Thank you and good luck with your research
- My textbooks
This material is restricted to subscribers.
Topics Covered
- Research population
- Sampling methods
- Research
- Probability
- Saturation point
Links
Series:
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Talk Citation
Quinlan, C. (2023, January 31). Populations, samples, and sampling methods [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved November 21, 2024, from https://doi.org/10.69645/TFWH2431.Export Citation (RIS)
Publication History
Other Talks in the Series: Key Concepts - Academic Research Methodologies in Business
Transcript
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0:00
Hello, my name is Dr. Christina
Quinlan and I work at
the Graduate Business School at
the Technological
University of Dublin.
Today I'm going to talk
to you about populations,
samples and sampling methods.
0:16
The aim of this talk
is to explain how to
select a population and when and
how to select a sample
from a population for
a research project, to explore
the different ways of selecting
a sample from a population.
0:33
The population of the study.
The population of
a study is all of
the individuals
relevant to the study.
The population of
the research project
is also called the universe.
As the term "the
universe" implies,
the population of a study is
comprised of all of the units,
items or individuals
belonging to that population.
0:58
Samples and sampling
in research.
In social science research,
it is often the case that
the entire population of
the research is too big
and beyond the scope
of the researcher.
In such situations,
the researcher clearly
defines the population of
the research and
then selects, from
that population, a
sample to study.
The proposed research is
then carried out with
the sample, instead of
the entire population.
Some research is
carried out using
entire populations, and some
is carried out using samples,
that is samples of populations.
1:37
The slide that I'm
showing you now
illustrates the population
and the sample.
The population is
all of the X's.
One X is one individual,
one case or one element.
All of the X's within
the little egg
illustrate the sample.