Department

Health Studies

Course Code

HLTB15H3

Professor

Caroline Barakat

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)

Sample—subset 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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