RM2- Sampling, Control Measures and Pilot Studies Flashcards
sampling
ways in which researchers select participants for their study
target population
specific group of people from the whole population that you want to study
sample
smaller group that you actually select from the target population to participate in the study
name the 5 different sampling techniques
volunteer
systematic
opportunity
random
stratified
volunteer sampling
participants put themselves forward- self select
systematic sampling
pattern, every nth term
a sampling frame is produced from potential participants
opportunity sampling
researcher directly asks people who are readily available to them to participate, convenience sampling
stratified sampling
random sampling in each strata can be time consuming
the composition of sample reflects proportions of sub groups in the target population
percentage proportion is calculated
random sampling
researcher obtains a list of the target population, participants are chosen by change to take part until enough have been chosen
evaluate random sampling
representative sample
-researcher has no control
-improves population validity
time consuming
-need to make a sampling frame/ list of target population
not guaranteed for a representative sample
-some groups may not be selected
-stratified is better
evaluate opportunity sampling
easy to obtain
-use convenient people
unrepresentative sample
-likely for ppts to have similar characteristics
-reducing population validity
ethical issues
-ppts may feel pressure to take part- abusive power
evaluate volunteer sampling
saves time
-can advertise for a specific/ niche group of people
lacks generalisability
-self selected people
-limiting population validity
not representative
-self selected people
-limits population validity- people from a similiar background may see the same advert
evaluate systematic sampling
avoids researcher bias
-no influence over who is chosen
-more representative
-increases validity
not very representative
-some groups may not be selected
-stratified is better
evaluate stratified sampling
avoids researcher bias
-no influence over who is subdivided into which strata
-accurate reflection of target population
-higher representative sample
time consuming
-needs all details of all ppts in target population
not completely representative
-strata may not reflect all sub groups that exist
-complete presentation is not always possible
control measures
strategies that researchers put in place in order to minimise the impact of extraneous variables