research methods lessons 1-5 Flashcards

1
Q

what is the independant variable

A

the variable the researcher manipulates also known as the experimental condition.

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2
Q

what is control condition

A

experiment where the IV is not manipulated

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3
Q

what is the dependant variable

A

the variable that is measured

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4
Q

what is an extraneous variable

A

variables other than the IV that could affect the DV

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5
Q

what is the confounding variable

A

a variable other than the IV that HAS affected the DV

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6
Q

what is operationalisation

A

for an experiment to be successful the DV and IV has to be operationalised. it is defining and stating how to measure it

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7
Q

what is a laboratory experiment

A

an experiment that is carried out in a controlled environment where the experimenter has high control of the IV. Participants are randomly allocated to a condition.

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8
Q

evaluation of lab experiment

A

strengths: high control of IV and extraneous variables so they do not become confounding ones. researcher can establish cause and effect between IV and DV. easily repeatable.
weaknesses: demand characteristics may occur and data can be invalid: social desirability bias. can lack mundane realism when too controlled and low ecological validity.

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9
Q

what is a field experiment

A

experiment carried out in real world or in natural setting but the IV is still manipulated.

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10
Q

evaluation of field experiment

A

strengths: more mundane realism and ecological validity. bc the experimenter can manipulate the IV cause and effect can be established.
weaknesses: less control on extraneous variables which may make results invalid. less control over sample which may not represent population. hard to replicate

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11
Q

what is a natural experiment

A

experiment than takes advantage of naturally occurring IV. measures variables that aren’t directly manipulated by experimenter.

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12
Q

evaluation of natural experiment

A

strengths: high mundane realism and ecological validity. useful when having to manipulate IV is unethical.
weaknesses: low control over extraneous variables and difficult to replicate so it is unreliable.

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13
Q

what is quasi experiment

A

experiment that contains naturally occurring IV but it is a difference between people that already exists. usually takes place in laboratory setting.

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14
Q

evaluation of quasi experiment

A

strengths: high level of control and extraneous variables are minimised. replication is likely so more reliable.
weaknesses: lack of ecological validity and demand characteristics may occur which may make results invalid.

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15
Q

what are two designs of observations

A

can be done by recording data or sampling behaviour

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16
Q

what is non-participant observation

A

when the researcher does not get direct,y involved with the interactions of pps and do not take part in the activities

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17
Q

evaluation of non participant observation

A

strengths: less chance of pps showing demand characteristics and researcher can make quality notes
weaknesses: researcher won’t be able to control variables very well so it may lack validity.

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18
Q

what is participant observation

A

when the researcher is directly involved in interactions and activities with participants

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19
Q

evaluation of participant observation

A

strengths: gives researcher better understanding and can control variables more tightly
weaknesses: may show experimenter bias and won’t be able to make quality notes. demand characteristics

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20
Q

what is covert observation

A

when the psychologist observes pps undercover

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21
Q

evaluation of covert observation

A

strengths: less chance of pps showing demand characteristics
weaknesses: no inform consent which is unethical

22
Q

what is overt observation

A

when the psychologist reveals their identity and states they are observing the group

23
Q

evaluation of overt observation

A

strengths: it is ethical as there is no deception and is clear cut
weaknesses: pps may show demand characteristics and there is observer effect which makes results invalid

24
Q

what is naturalistic observation

A

the researchers observes pps in their natural environment with no deliberate manipulation

25
evaluation of naturalistic observation
strengths: pps are usually unaware so results are valid. high mundane realism. useful when the manipulation of variables would be unethical. weaknesses: can’t control extraneous variables. cause and effect cannot be established. risk of observer bias .
26
what is controlled observation
observes pps in a controlled environment and allows for manipulation of the IV.
27
evaluation of controlled observation
strengths: cause and effect can be determined and extraneous variables can be controlled. can give detailed qualitative data. weaknesses: lack of mundane realism and ecological validity. observer effects can occur and observer bias
28
what is observer bias
the observer knows the purpose of the study and so they may observe behaviours that fit their aims which influence how they record data. use two observers. kappa score of +0.8 is gained then its reliable. known as inter-rater reliability
29
what are behavioural categories
types of behaviour looked for in an observation
30
what is event sampling
when observer records all occurrences of the types of behaviour they are interested in
31
what is time interval sampling
observer decides in advance that observation will take place during specified time periods
32
what is a pilot study
small scale investigation with a small number of pps and trialling out on them. can help spot ambiguities. good to establish behavioural categories and get rid of practical problems
33
what is a structured interview
all pps asked the same questions in order. provides quantitative data. consists of closed questions
34
evaluation of structured interview
strengths: if pps misunderstand a question it can be clarified. interviews are more quick weaknesses: risk of interviewer effect where interviewer may affect answer due to appearance or manner. lack quality and in depth data and so results may be invalid
35
what is an unstructured interview
in depth conversation exchange. provides qualitative data with open questions
36
evaluation of unstructured interview
strengths: useful when investigating controversial topics weaknesses: risk of social desirability bias. more time consuming and expensive as interviewer has to be trained.
37
what is a semi structured interview
mix of both interviews producing qualitative and quantitative data and consists of open and closed questions
38
points to consider when designing questionnaire
type of data - closed/ open questions ambiguity - avoid unclear questions double barrelled questions - avoid using two linked questions in one leading questions - avoid using questions that lead the pps to answer in a certain way complexity - use clear english
39
evaluation of questionnaire
strengths: quick easy and cheap compared to interviews. can have large sample. easy to replicate so is reliable weaknesses: can be ambiguous and unclear and researcher isn’t there to explain. low response rate
40
what are correlations
analysing the strength of a relationship between two quantitative variables known as co variables
41
what can the strength of correlations be between
-1 and +1 strength of correlation is correlation coefficient
42
what are correlations plotted on
scatter graphs
43
evaluation of correlations
strengths: establishes strength of relationship between two variables. allows to investigate things that could not be manipulated. provides conclusion. weaknesses: cannot demonstrate cause and effect as we cannot tell which variable influences the other. may be third variable. only measures linear relationships not curvilinear.
44
what is an aim of a study
precise statement about purpose of study. should include what is being studied and what it is trying to achieve.
45
what is second step of study
operationalising the variables
46
what is the hypothesis
precise statement about the outcome of a study.
47
what is a null hypothesis
states the IV will have no effect on the DV
48
what is the experimental hypothesis
that the IV will have an effect on the DV
49
what is non directional hypotheses (two tailed)
does not state direction of stated differences
50
what is a directed hypothesis (one tailed)
does state the direction of predicted difference