2. populations and samples

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  • Created by: eviebrad
  • Created on: 17-02-23 11:09
what is a population
a group of people, places or things that have at least one common characteristic
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what is a sample
portion or fraction of a population
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when do we make inferences back to the population
as long as sample is representative of the population
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what is meant by a representative sample
sample or subgroup of a population similar to the population on the characteristics of interest
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what is meant by biased
not representative of a population
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how does a biased sample affect validity
poor external validity
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what is external validity
the generalisability of the results of a study
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what is simple random sampling
selection of participants for a study that provides equal chance of selection for all people in a population
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what is a sampling frame
the accessible population from which the sample is drawn
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how is a simple random sample carried out
choose some form of random number generator
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what is a stratified sample
population is divided on the basis of some characteristic before random selection
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an example of strata
academic status- first, second or third year
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what is systematic sampling
procedure for the selection of participants in a study in which every nth individual on a list is selected
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is systematic sampling random
only random if the population list is in a random order
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random sampling unrealistic
low chance of getting everyones name on sampling frame and them taking part
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what is convenience sampling
selecting the research participants that are accessible and convenient to researcher
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descriptive research
concerned with status and experimenter does not manipulate anything
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primary concern of descriptive research
establishing external validity
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why is random sampling used
in order to maximise the chances that the sample is representative of the target population
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what does it mean if a convenience sample is used
must be cautious with accepting findings
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experimental research
involve manipulating independent variables to study effect on dependent variables whilst holding control variables constant
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experimental research
attempts to establish why
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inclusion criteria
participants must have characteristics to qualify for participation
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exclusion criteria
characteristics participants must not possess
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how can we know who to generalise the findings of a study to
needs to be plausible that findings will apply to population
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why would you look at participants section of the methods
to see characteristics we can generalise to people with similar characteristics
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examples of when cannot generalise
study used all untrained subjects cannot generalise to half marathon runners
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sample size
large enough to be representative/reliable, drop out accounted for
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what is a power analysis
statistical procedure to calculate how many people needed in the test
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randomised control trial
provide definitive answer if a new treatment is better than control group
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Card 2

Front

what is a sample

Back

portion or fraction of a population

Card 3

Front

when do we make inferences back to the population

Back

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Card 4

Front

what is meant by a representative sample

Back

Preview of the front of card 4

Card 5

Front

what is meant by biased

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