SAMPLING Flashcards

1
Q

what is the population?

A

the group of people who are the focus of the researcher’s interest - this is what the sample is drawn from

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2
Q

what is a sample?

A

the group that take part in the experiment, drawn from target population and is presumed to be representative of the population being studied

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3
Q

RANDOM SAMPLE

A

all members of the target population have an EQUAL chance of being selected
EG using a lottery method

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4
Q

what are pros of a random sample?

A

free from researcher bias

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5
Q

cons of a random sample

A

difficult and time consuming
could still end up with an unrepresentative sample
selected ppts can just refuse to take part

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6
Q

what is a SYSTEMATIC SAMPLE

A

is when every Nth number of the population is selected

uses a sampling frame - eg target population ordered by alphabet

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7
Q

EXPLAIN STRATIFIED SAMPLE

A

sample reflects the proportions of a certain sub-group within the group population

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8
Q

steps of a stratified sample

A
  1. identify the different strata that make the population
  2. work out proportions for the representation
  3. random sampling selects the ppts for each stratum
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9
Q

DIFFERENCE BETWEEN AN OPPORTUNITY SAMPLE AND A VOLUNTEER SAMPLE

A
opportunity = select anyone willing and available, just asking whoever happens to be around
volunteer = self-selection, ppts select themselves to be in the sample
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10
Q

good thing about systematic sampling?

A

avoids researcher bias because they have no choice but to have every Nth number, they are also usually fairly representative

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11
Q

stratified sample - avoids researcher bias and representative sample BUT

A

isn’t perfect because the strata that are chosen cant reflect all the ways people are different

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12
Q

evaluate opportunity sample

A

its convenient and saves time / effort

unrepresentative because its drawn from a particular area, and researcher bias is BIG

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13
Q

why is volunteer sampling a problem?

A

requires minimal effort and is less time consuming BUT asking for volunteers attracts a certain time of people - helpful and keen

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14
Q

define BIAS (in sampling)

A

when certain groups may be over or under-represented within the selected sample - like too many young people, too many white people .
limits generalisation

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15
Q

define GENERALISATION

A

the extent that findings and conclusions can be broadly applied to the wider population - made possible when the sample of ppts is representative of the population

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