Sampling + Graphs Flashcards
What is sampling
Investigate a group of people that represent entire population
-select target population
-easier to conduct study
Target population - people with specific characteristic of interest (occupation, age)
Representative sampling - small sample from target population to gain result to generalise using sampling method
Opportunity sampling
Select people around you (those walking in street), ask to join
Adv:
-easy to do + quick
-access to wide variety of of participant + not restrictive
Disadv:
-can be biased (select people from same area)
-researcher select those think benefit them
Random sampling
Selecting participant randomly (draw hat, random number generator) people have equal chance of being picked
Adv:
-no researcher bias
-can be done on large sample
-equal chance go pick
Disadv:
-biased if sample too small
-need to gather all name to draw - time consuming
Snowball sampling
Researcher choose people they know for participant
-participants invite people they know, until sample size reached
Adv:
-quick + convenient
-may access participant usually hard to access
Disadv:
-not representative of entire population (people know eachother
-researcher bias
Self selected sampling
Individual volunteer to be part of study after hearing about it (adverts)
Adv:
-don’t need to find ways to find participants
-no researcher bias
-already consent if join
Disadv:
-volunteer bias (motivated to be helpful = less representative)
-motivated by money
Stratified + quota sampling
Split general population into subgroups (age, gender) - then pick a equal proportion from each subgroup
Stratified - select randomly
Quota - non-randomly
Adv:
-more representative (equal proportion)
-result more generalisable
Disadv:
-time consuming to gather representative+ pick participants
-uses other sampling techniques with their weakness
Systematic sampling
Use pre-determined system to select participating
-every 6th person came into door (usually numeric order consistent)
Adv:
-no researcher bias
-can be quick to gather people
Disadv:
-not completely random
-not everyone has equal chance to be picked
Types of graphs
Bar chart
-use mostly nominal data, no order in x axis, data not continuous, no true zero, gap between bar
Histogram
-like bar chart, all axis are in order, data are continuous, no gap between bar, has true zero
Line graph
-both axis continuous, with dot connected to show trend
Pie chart
-represent percentage of the frequency of category
Scatter diagram
-correlation between co variable