Sampling Flashcards

1
Q

What is a population?

A

Entire group of people of interest
e.g all psychology students

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2
Q

What is a sample?

A

Subgroup of the population
e.g psychology students in one class

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3
Q

What is a sampling frame?

A

group from which the sample is chosen from
e.g psychology students willing to participate and be tested in a lab

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4
Q

What is representativeness?

A

the extent of similarity between sample and population

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5
Q

What is selection bias?

A

occurs when the sample is not representative
3 types

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6
Q

What are the 3 types of selection bias?

A

sampling bias
volunteer bias
attrition bias

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7
Q

What is sampling bias?

A

occurs when sampling frame is not representative

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8
Q

What is volunteer bias?

A

people who participate in studies are different from those that don’t participate

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9
Q

What is attrition bias?

A

ppts who drop out of study are different to those who don’t

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10
Q

What are the 2 types of sampling methods?

A

probability (random selection)
non-probability (no random selection)

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11
Q

What are examples of probability sampling?

A

simple random sampling
systematic random sampling (every nth person)
stratified sampling
cluster probability sampling

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12
Q

What are examples of non-probability sampling?

A

opportunity (convenience) sampling
purposive sampling
Quota sampling

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13
Q

What is purposive sampling?

A

ppts are included and excluded based on researchers judgement

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14
Q

What is Quota sampling?

A

when population is divided into subgroups
ppts are selected to fill a quota (non-random selection)

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15
Q

What are the 3 observation sampling methods?

A

time
event
situational

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16
Q

What is time sampling?

A

random - note down any behaviours that happen after diff amount of times
systematic - note down any behaviours that happen after set time e.g every 5mins

17
Q

What is event sampling?

A

define behaviours then note them down every time they are observed

18
Q

What is situational sampling?

A

when you observe behaviours in diff locations
increases external validity

19
Q

What is sampling variability?

A

each time we draw a sample from same population we make different observation and statistics are also different

20
Q

What is sampling distribution?

A

A normal distribution with a mean (expected value) and a S.D (standard error)

21
Q

What impression does confidence intervals give?

A

how close the sample mean is to the population mean

22
Q

What do you call a distribution with a mean of 0 and a S.D of 1?

A

either a standard normal distribution or z distribution

23
Q

What do Z-scores show?

A

deviation from the mean in S.Ds

24
Q

How to work out Z-transformation

A

for every value we subtract the mean of the distribution and divide by the S.D