Research methods pt 2 SUMMARISED Flashcards

1
Q

Pilot Study

A
  • Small scale
  • Prior to full study
  • Has a smaller amount of participants
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2
Q

Aims of the pilot study

A
  • Check the research works
  • No extraneous variables
  • Rectify problems before the full scale study
    Instructions and questions clarified
    Materials refined and improved
    Timings can be changed
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3
Q

population

A
  • Large group
  • Share specific characteristics that the researcher wants to study
  • Not the general population
  • ‘target pop’
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4
Q

Sample

A

Smaller group of people taken from a larger population the researcher is interested in studying

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5
Q

Bias

A
  • Under or Over representing groups in a sample

- Too many younger people, too few males

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6
Q

Generalisation

A

To what extend the findings from the sample can be applied to the population.

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7
Q

Opportunity sampling

A
  • Anyone who is available and willing to take part
  • Approaching people in the street
  • Most common technique
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8
Q

Advantage of opportunity sampling: Quick, convenient and economical

A

E: Doesn’t require the level of planning + prep as other methods
E: Stress levels while shopping can be achieved by just approaching people in the shopping centre
L: less delays and less money spent

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9
Q

Disadvantage of opportunity sampling: Can be biased and unrepresentative

A

E: Those that are available don’t represent the population
E: Middle of the day it will only include those that don’t work or reduced hours. Can avoid people they don’t like the look of (researcher bias)
L: Biased and cannot be generalised to everyone, lowering ecological validity.

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10
Q

Volunteer sampling

A
  • Put themselves forward

- advert in newspapers or uni notice board

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11
Q

Advantage of volunteer sampling: Quick, convenient and economical

A

E: Doesn’t require level of planning + prep
E: Advertise and participant put themselves forward
L: Less delays and less money spent

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12
Q

Disadvantage of volunteer sampling: can be biased and unrepresentative

A

E: Tend to be a certain type of person
E: More confident and motivated than most
L: biased (volunteer bias) findings cannot be generalised to everyone. lowers ecological validity

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13
Q

Systematic sampling

A
  • every nth member of the target population
  • List of names
  • Organised (alphabetical)
  • Choosing every 5th name
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14
Q

Advantage of systematic sampling: Avoids researcher bias

A

E: No influence over the sample
E: every 5th name stops them choosing who they want to
L: less biased, more objective and less open to abuse

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15
Q

Disadvantage of volunteer sampling: not guaranteed to be representative

A

E: by chance the same type of person could be selected
E: every nth name could be male even with the same amount of females in the list. Not everyone has an equal chance (e.g names at the start)
L: findings cannot be generalised to everyone. lowers ecological validity

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16
Q

Random sampling

A
  • Everyone has an = chance
  • List of everyone in target pop
  • assigned a number and are generated through a lottery method.
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17
Q

Advantage of random sampling: avoids researcher bias

A

E: No influence over participants
E: picking names out of a hat stops researcher from choosing people they think will help support their hypothesis
L: +ve less biased, more objective and less open to abuse or researcher influence

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18
Q

Disadvantage of random sampling: Not guaranteed to be representative

A

E: by chance the same type of person could be selected
E: every name drawn out could be male
L: -ve cannot be generalised to everyone in the population. lowering ecological validity

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19
Q

Stratified sampling

A
  • researcher identifies sub groups within the population.
  • works out the proportions needed for the sample to eb representative.
  • 15% of population are 18-25 so 15% of the sample are 18-25 year olds
20
Q

Advantage of stratified sampling: highly representative

A

E: Avoids researcher bias and ensures all sub groups are proportionally represented
E: picking names from a hat avoids researcher bias but focusing on sub groups ensures it isn’t left entirely to chance
L: +ve more likely to be representative

21
Q

Disadvantage of stratified sampling: Time consuming and inconvenient

A

E: Great deal of planning needed (identify groups and frequencies
E: not necessary with opportunity and volunteer
L: -ve more delays in research and more money spent

22
Q

Aim

A

General statement about what the researcher intends to study.
- Purpose of study

23
Q

Hypothesis

A

Precise and testable statement that states the relationship between the variables

24
Q

Directional hypothesis

A

States there will be an effect and states which way it will go.

25
Q

Non-directional hypothesis

A

There will be an effect but not which way it will go.

26
Q

How do psychologists justify a directional hypothesis?

A

Past research

27
Q

Operationalisation

A

Clearly defining variables to make them testable and measurable.

28
Q

Experimental design

A

How participants are allocated to the different conditions

29
Q

what are the 3 experimental designs?

A

Repeated measures
Independent groups
matched pairs

30
Q

Repeated measures

A
  • All participants take part in all conditions

- One group completes condition A and the same group completes condition B

31
Q

Example of repeated measures

A

Effect of noise on memory.
Group 1 tested in noisy conditions (A) in the morning
Group 1 tested in silent conditions (B) in the afternoon

32
Q

Advantage of repeated measures: no participant variables

A

E: no individual differences between participants in each condition
E: participants in A will not differ from those in B as they are the same participants
L: +ve increases interna validity

33
Q

Advantage of repeated measures: requires half the number of participants as the other designs

A

E: Less participants are needed than independent and matched pairs to achieve the same amount of data
E: 10 participants in each condition, you only need 10 compared to 20
L: +ve not as many participants, cheaper and less time consuming

34
Q

Disadvantage of repeated measures design: suffers from order effects

A

E: the order completing conditions may affect performance.
E: may do better in the second test because they have already had practice (practice effect) OR worse as they are bored (boredom effect)
L: -ve lowers internal validity

35
Q

Disadvantage of repeated measures design: high demand characteristics

A

E: higher chance of guessing the aim and alter behaviour
E: memory task in silent then in noisy conditions, participants can work out what you want them to achieve and change their behaviour
L: Reduces internal validity

36
Q

Independent groups design

A
  • separate groups
  • Effects of noise on memory
    group 1 completes condition a (noisy)
    group 2 completes condition b (silent)
37
Q

Advantages of using independent groups design: does not suffer from order effects

A

E: participants only complete one condition so it doesn’t effect their performance
E: Participants will not do better (practice effect) or worse (boredom effect) in the second task because they only complete one condition.
L: +ve increases the internal validity

38
Q

Advantages of using independent groups: Low demand characteristics

A

E: Less chance to guess the aim
E: participants only take part in one condition, not aware of the research expectations so less likely to change to fit in with the expectations
L: +ve increases the internal validity

39
Q

Disadvantage of using independent groups: low degree of control over participants

A

E: May be individual variables between the participants that have not been controlled and could unfairly influence the results.
E: participants in condition A may be more intelligent than those in condition B
L: -ve decreases internal validity and may confound the results

40
Q

Disadvantage of using independent groups design: requires twice as many participants as repeated measures design

A

E: more participants are needed to achieve the required amount of participants
E: 10 participants in each condition, 20 participants are needed in total. compared to only 10 being needed in repeated measures
L: -ve recruit double participants which is more time consuming

41
Q

Matched pairs design

A

Different participants are used in each condition. However, the participants are matched into pairs based on important characteristics.

42
Q

Advantages of using matched pairs design: Does not suffer from order effects

A

E: the order that participants complete the conditions does not affect performance because they only complete one condition
E: will not do better (practice effect) or worse (boredom effect) in the second task as they only complete one.
L: +ve increases internal validity

43
Q

Advantages of using matched pairs design: Low demand characteristics

A

E: less chance of guessing the aim of the study
E: participants only complete one condition, so not aware of the researchers expectations so less likely to change their behaviour
L: +ve raises the studies internal validity

44
Q

Disadvantage of using the matched pairs design: less control of participant variables than repeated measures design.

A

E: There is still a chance of individual differences between participants in each condition than a repeated measures that could unfairly influence the results
E: Participants in condition A may be, on average, more intelligent than those in condition B
L: decreases internal validity and may confound the results

45
Q

Disadvantages of using matched pairs design: Requires twice as many participants as a repeated measures design.

A

E: more participants are needed with this design to achieve the same amount of data.
E: to achieve 10 participants in each condition, 20 participants are needed in total compared to only 10 being needed for a repeated measures design.
L: -ve have to recruit more participants which is more expensive and more time-consuming.

46
Q

Random allocation

A
  • control researcher bias
  • assign everyone a number and put them in a hat
  • every other number goes into condition A.
47
Q

Counterbalancing

A
  • Half participants will start in condition a then go into condition B
  • the other half will start in condition B and then go into A
  • Balancing out the order effects, so they are distributed evenly across both condition.