Random Strengths
• Unbiased
• It is widely accepted that since each member has the
same probability of being selected, there is a
reasonable chance of achieving a representative
sample (generalised)
Weaknesses
• Random sampling is difficult and time-consuming to
conduct
• Representative sample is not guaranteed (could all be
male by chance)
• Some may refuse to take part
SystematicStrengths
• This sample is objective, once the system has been
established the researcher has no influence over who is
chosen.
• This method offers an unbiased chance of gaining a
representative sample.
Weaknesses
• If the list has been assembled in any other way, bias may be
present. Every nth person could be of one gender so cannot
be generalised
VolunteerStrengths
• Practical and easy way to gather ppts as
it requires minimal input from the
researcher.
• Less time consuming
Weaknesses
• Lacks generalisability as those who are
willing to give up their time are likely to
be differ from target population
StratifiedStrengths
• Most representative because it is designed to
accurately reflect the composition of the population.
This means that generalisation of findings becomes
possible.
Weaknesses
• It takes more time to plan.
• Care must be taken to ensure each key characteristic
present in the population is selected across strata,
otherwise this will design a biased sample. 1,000
students in the school. 300 are 10-12 years old, 500 are
13-15 and 200 are 16-18. Therefore, the subgroup is 30%,
50% and 20%.
Opportunity Strengths
• This method is easy and inexpensive to carry out.
• This often achieves a large sample size through reaching a
wide audience.
Weaknesses
• The researcher has complete control over the selection of
participants, and may avoid people they do not like the look
of (researcher bias)
• Findings can be unrepresentative of the target population,
e.g a specific street so findings cannot be generalised
Sampling is the process ofselectingarepresentativegroupfromthepopulationunderstudy.
Generalisability means the extent to which their findings can be applied to the larger population of which their sample was a part.