indentify the target vs accessible population
target: is the group of people from whom you want to generalize your results→ an example would be menopausal women with breast cancer
Accessible: is the subgroup of the target population that can be elistically accessed→ example would be menopausal women listed in provincal breast cancer registries
identify sample
is the group of individuals who where recruited to actually particiapte in the study
- identify sampling methods
random: simple, systematic, stratified, cluster
non-random: convenience, quota, purposive, networ
- describe the difference between random and non-random sampling
random=every person in the target population has an equal chance of being recruited
non-random: indivduals are recruited based on judgment/convience
define and describe the random sampling methods:
1, simple random sampling
- people are selected randomly from a numbered list by using a table of random # or online sample generator
- requires establishment of a list of individuals from the accessible population
define and describe the random sampling methods:
systemic random sampling
- individuals are chosen from a list every xth indivual using a random start point
- requires the establishment of a list of people and intervals for selection
define and describe stratified random sampling
- p
Stratified random sampling is a method where a population is divided into subgroups (strata) based on shared characteristics. Individuals are then randomly selected from each subgroup to ensure all parts of the population are fairly represented in the sample- requires knowning the characteristcs of the population in order to make stratification criteria
describe cluster random sampling
- clusters so groups of individuals that naturally occur in the population are randomly selected instead of recruiting individuals one by one like recruiting a school, team etc.
- requires a series of random groups of individuals from the population
describe and define non-randoming sampling: convience sampling
are selected based on their availability, accessibility or because they are easy to reach but this doesn’t really give a representation of the target population but is convienent
describe and define non-randoming sampling: pruposive/judgment sampling
people are deliberately chosen by the researcher because they have the specific characteritics of the target population and they meet all the exlusion/inclusion criteria
describe and define non-randoming sampling: quota sampling
you pick people to be part of your study based on certain characteristics, like their age, gender, or where they live. You decide how many people with each characteristic you need so that your group of participants reflects the larger population you’re interested in. However, unlike some other methods, you don’t pick these people randomly. Instead, you choose them in a way that’s easiest or most convenient until you fill each “quota” or category you’ve set. like stratified by not randomly selected
describe and define non-randoming sampling: netowrk (snowballing sampling)
uses referals of the orginal participant who has the same charactericts
