Sampling + Graphs Flashcards

1
Q

What is sampling

A

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

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2
Q

Opportunity sampling

A

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

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3
Q

Random sampling

A

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

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4
Q

Snowball sampling

A

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

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5
Q

Self selected sampling

A

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

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6
Q

Stratified + quota sampling

A

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

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7
Q

Systematic sampling

A

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

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8
Q

Types of graphs

A

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

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