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Research Methods (Observation (Designing observations: (Behavioural…
Research Methods
Observation
structured
- trends are more easily seen; easy to compare data
- may miss something important
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unstructured
- too much going on; too much detail; hard to summarise
- contains a lot of data to analyse, and can notice a trend that wasn't expected
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naturalistic
- other factors may be influencing behaviour; lack of control
- normal natural behaviour seen
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controlled
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- controls possible extraneous variables that could influence behaviour
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participant
- good place to observe from; can get an insight of actual experience
- behaviour may change if participants are aware of being observed; experimenter may become too involved with the group, and not be as objective anymore
observers are a part of, or are pretending to be a part of, the group they are observing
non-participant
- remain objective about behaviour seen
- not have a lot of insider knowledge
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overt
- P's not act normally due to social desirability bias
- P's know they are being observed, so no ethical issues
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covert
- raises ethical issues on privacy
- natural behaviour being observed; P's don't respond to demand characteristics
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Designing observations:
Behavioural categories
different categories of behaviour are noted down before observation; structured observation; provide quantitative data but can have a restricted view of all behaviours
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Experiment
lab
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- scientific; can establish cause and effect
- less ecological validity; artificial setting
field
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- more ecological validity; can be more sure than behaviour is realistic
- lack of control; hard to establish cause-and-effect relationship
quasi
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- can study effects of variables that can't be manipulated
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- no control over participants in term of social setting e.g. how they were raised
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Designs:
Repeated measures design
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- P's affected by order effects (practice and fatigue), but P's can be counterbalanced so half P's do one conditions first etc; more likely to guess aim of experiment and then respond to demand characteristics
- less P's needed so reduced time and cost
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Matched pairs design
different P's used for each conditions but are matched for variables that the experimenter thinks are important e.g. age, IQ, gender
- reduces individual differences error; no order effects
- more P's needed so more time and effort, and takes a lot of effort to match P's; experimenter may not match on basis of right variables; P's are still not the same after being matched
Correlation
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positive correlation: when one variable increases, so does the other
negative correlation: when one variable increases, other decreases
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Self-report
questionnaire
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- a lot of data gathered without much time or effort needed, from a large sample
- however it is difficult to ask questions in the right way; P's may leave questions out and not give qualitative answers with lots of detail as it takes more time
interviews
structured
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- easier to gather qualitative data
- artificial; P may not elaborate or answer with more detail
semi-structured
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- a lot of data is still gathered; slightly harder to summarise and spot trends
- can provide detail on answers so seems more sociable and friendly than a structured interview
unstructured
researcher has topics to discuss but may not be in same order each time and questions are not worded exactly the same
- a lot of detailed qualitative data can be gathered; more like a regular conversation so is less stressful and higher ecological validity
- broad range of topics discussed so it is hard to summarise the data and analyse it for trends
Designing self reports:
open questions
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- qualitative data gathered; lots of detail; not forced to respond in a particular way
- too much data gathered so is hard to analyse
closed questions
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- less time consuming; quantitative data easier to analyse
- only limited information is gathered; miss important information; lack ecological validity as P's are not able to respond how they want to
rating scales
Likert rating scale
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- can provide quantitative data
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