research methods Flashcards

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1
Q

target populations =

A

the wider group of people that finding should apply to

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2
Q

biased sample =

A

a sample that does not represent the target population

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3
Q

representative sample =

A

a cross section that is typical of the target population

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4
Q

sampling frame =

A

a section of the target population from which the sample is drawn

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5
Q

sampling =

A

every person in the target population should be proportionally represented
al necessary views should be represented
if not everyone is represented it is biased
composition is more important than size

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6
Q

how does sampling take place (steps)

A
  1. define the pop of interest
  2. specify the sampling frame
  3. use a sampling method to choose from the sampling frame
  4. decide sampling size
  5. gather sample
  6. collect datas
  7. review
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7
Q

what is opportunity sampling

A

chosen because they are convenient

because they are present at the time or known to the researcher

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8
Q

strengths of opportunity sampling

A

less time consuming in terms of planning and don’t ned sophisticated methods of choosing participants
quick and convenient

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9
Q

weakness of opportunity sampling

A

biased sample as only certain types of people will participate
same locality s similar characteristics
bias when choosing participants

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10
Q

what is volunteer sampling

A

choosing via ads and people coming forward if they wish to

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11
Q

strengths of volunteer sampling

A

gain access to people you normally couldn’t
easy and convenient
ethical as they choose themselves

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12
Q

weakness of volunteer sampling

A

people who volunteer themselves may be similar

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13
Q

what is stratified sampling

A

sampling frame is grouped

certain number of people randomly chosen

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14
Q

strengths of stratified sampling

A

representative

identify characteristics of target pop

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15
Q

weaknesses of stratified sampling

A

time consuming

may not identify all characteristics so won’t be representative

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16
Q

what is random sampling

A

chosen mathematical by chance

equal chance of being selectwd

17
Q

strengths of random sampling

A

avoids bias

representative

18
Q

weaknesses of random sampling

A

time consuming

small chance that it will be unrepresentative

19
Q

what is quantitative data

A

expressed numerically and statistically
more likely to be drawn from controlled situations
deals with what rather than why

20
Q

strengths of quantitative data

A

easily represented in graphs and charts to analyse
operationalised variables making it easier to repeat
more scientific and objective

21
Q

weaknesses of quantitative data

A

produces narrow unrealistic information

only focusses on a small fragment of behaviour

22
Q

what is qualitative data

A

expressed in detailed descriptions and words
give answers in own words with no formal measure
deals with why rather than what

23
Q

strengths of qualitative data

A

more ecologically valid when in natural circumstances
gives reasons
can be converted into quantitative data
access to emotion and feeling

24
Q

weaknesses of qualitative data

A

harder to control as there is a lack of control in the method
less scientific

25
Q

null hypotheses =

A

no effect or change only by chance

26
Q

alternative hypotheses =

A

causational change

what we believe to be true when the data is analysed

27
Q

what are questionnaires

A

self report methods which consists of a set of questions usually in a high structured written form
any form you want
shouldn’t be too long

28
Q

pilot survey =

A

questions for clarity testing and allows the research to make sure the required information is tested

29
Q

repeated measures design =

A

same person respond in two conditions