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HLTB15H3 (19)

Lecture/Textbook

4 Pages
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Department
Health Studies
Course Code
HLTB15H3
Professor
Caroline Barakat

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Lecture 7- Undertaking research- Sampling Methods
The concept of sampling
selecting a few from a bigger group
advantages: saves financial and human resources
Disadvantages: estimation or prediction- possibility of error
Sampling in Qualitative Research
Saturation Point
keep going as long as one keeps discovering new information
subjective judgement
Terminology
Population / study sample (N)
Samplesubset of a population
Sample size (n)
number of observations that make up the sample
sample size is the same as population size
Sampling design / strategy
the probability of every sample being drawn
Sampling unit / sampling element
member of sample population
may be an individual, an organization, or a geographical area.
Sampling frame
list of population members (units) from which the sample is drawn from
includes every element in the target population and each element should
only be included once
Sample statistics
Characteristics of the sample such as the sample mean, the sample variance,
and the sample proportion
Population parameters/ population mean
a quantity or statistical measure that, for a given population is fixed
that is used as the value of a variable in some general distribution or
frequency function to make it descriptive of that population
The mean and variance of a population
Guiding principles
Difference between the sample statistics and the true population mean,
attributed to the selection of units
As sample size increases, the estimate of the true population mean becomes
more accurate
The greater the difference in the variable, the greater will be the difference
between the sample statistics and the true population mean
Aims
Maximum precision
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Description
Lecture 7- Undertaking research- Sampling Methods The concept of sampling selecting a few from a bigger group advantages: saves financial and human resources Disadvantages: estimation or prediction- possibility of error Sampling in Qualitative Research Saturation Point keep going as long as one keeps discovering new information subjective judgement Terminology Population study sample (N) Samplesubset of a population Sample size (n) number of observations that make up the sample sample size is the same as population size Sampling design strategy the probability of every sample being drawn Sampling unit sampling element member of sample population may be an individual, an organization, or a geographical area. Sampling frame list of population members (units) from which the sample is drawn from includes every element in the target population and each element should only be included once Sample statistics Characteristics of the sample such as the sample mean, the sample variance, and the sample proportion Population parameters population mean a quantity or statistical measure that, for a given population is fixed that is used as the value of a variable in some general distribution or frequency function to make it descriptive of that population The mean and variance of a population Guiding principles Difference between the sample statistics and the true population mean, attributed to the selection of units As sample size increases, the estimate of the true population mean becomes more accurate The greater the difference in the variable, the greater will be the difference between the sample statistics and the true population mean Aims Maximum precision www.notesolution.com
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