booklet 1 Flashcards

(48 cards)

1
Q

what is an IV

A

Variable that changes/ is manipulated
to see effect on DV

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2
Q

what is a DV

A

Variable that is measured
to see effect of IV

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3
Q

what is operationalisation

A

to be specific and clear when defining IV and DV
so it is easier to measure

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4
Q

why is operationalisation important

A

if variables are vague, research = difficult to repeat
thus increases replicability and reliability

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5
Q

what is a hypothesis

A

a specific, testable prediction of what will happen between variables

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6
Q

what are the 3 types of hypothesis

A

one-tailed, two-tailed and Null

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7
Q

what is an extraneous variable

A

an extra, UNWANTED variable other than IV (1)
that may affect DV
would then lower internal validity (1)

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8
Q

what is a confounding variable

A

an EV that is not uncontrolled (1)
and has effect on DV (1)

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9
Q

what are demand characteristics

A

clues given off by researcher
lead to ppts changing their behaviour (1)
to help or hinder
lowering internal validity (1)

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10
Q

how can we control demand characteristics

A

having another researcher (1)
(who does not know the aims of the study)
carry out the experiment
as they cannot give any clues (1)

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11
Q

what are the 4 experimental methods

A

Lab, Natural, Field and Quasi

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12
Q

what is a lab experiment

A

uses highly controlled env.
researcher manipulates IV
to measure impact on DV

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13
Q

what are the 2 strengths attributed to lab experiments

A

high control over EVs (1)
high in reliability (1)

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14
Q

why do lab experiments have high control over EVs

A

conducted in artificial env. (E)
so cause and effect can be est. (E)
between IV and DV (E)
increasing internal validity (L)

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15
Q

why do lab experiment shave high reliability

A

as exp. can be easily repeated
in the same conditions
to check for consistent results

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16
Q

what are the 2 weaknesses of lab experiments

A

lack ecological validity
prone to demand characteristics

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17
Q

why do lab experiments lack ecological validity

A

artificial environment
difficult to generalise beyond the study
lowering external validity

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18
Q

why are lab experiments prone to demand characteristics

A

DC = ppts change behaviour due to researcher’s clues
leading to ppts helping/hindering
reducing internal validity

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19
Q

what is a field experiment

A

natural environment
e.g. office or school (context)
researcher manipulates IV to measure impact on DV

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20
Q

what are the 2 strengths of field experiments

A

high ecological validity
less prone to demand characteristics

21
Q

why do field experiments have high ecological validity

A

based on real-life setting
easier to generalise findings outside of study
to similar settings

22
Q

why are field experiments less prone to demand characteristics

A

ppts may not know being watched
so are less likely to pick up on clues
so more difficult to change behaviour
for the purpose of helping/hindering
thus increasing internal validity

23
Q

what are the 2 weaknesses of field experiments

A

low in reliability
potential ethical issues

24
Q

why are field experiments low in reliability

A

environment is natural
thus difficult to repeat
in exact same conditions
so harder to check for consistency

25
why do field experiments have potential ethical issues
due to lack of informed consent if ppts unaware being watched so can't have given consent may be upset if they become aware of being watched and wish to withdraw
26
what is a natural experiment
takes advantage of naturally-occurring IV this variable would have been changed without the researcher's intervention
27
what are the 2 strengths of natural experiment
provides opportunities for new research high ecological validity
28
why do natural experiments provide opportunities for new research
this research may not have been undertaken for ethical/practical issues e.g. Rutter's orphan studies would be unethical to manipulate if the institutionalisation (IV) had not naturally occurred contributing to greater psychological understanding
29
why do natural experiments have high ecological validity
often based in real-life settings easier to generalise findings beyond the study to similar settings increasing external validity
30
what are the 2 weaknesses of natural experiments
low control over Evs rare
31
why do natural experiments have low control over EVs
usually take place in natural environment difficult to establish cause and effect between IV and DV lowering internal validity
32
why are natural experiments 'rare'
must wait for the IV to naturally occur which takes much time lowering opportunities for research thus unlikely research can be repeated to check for consistent results so lacks reliability
33
what is a quasi experiment
study where IV based on an existing individual difference between people which researcher has not manipulated where researcher measures effect on DV
34
what are the 2 strengths of quasi experiments
DEPENDS ON HWO THEY ARE CONDUCTED - CAN BE CONDUCTED IN IN EITHER NATURAL(FIELD) OR CONTROLLED (LAB) ENVIRONEMENTS - TAILOR ACCORDINGLY
35
what is a weakness of quasi experiments
sample bias
36
why do quasi experiments have sample bias
sample may have unique conditions make it difficult to generalise findings outside of this group decreasing external validity
37
what are the 3 experimental designs
independent groups, matched pairs, and repeated measures
38
what is an independent groups design
ppts take part in only one condition each condition therefore has a different group taking part in it
39
what is a strength of using independent groups
no order effects
40
why do independent group designs have no order effects
ppts take part in only one condition, not both so cannot get bored/better/fatigued UNLIKE repeated measures where ppts take part in both and so could have order effects
41
what is a weakness of independent groups design
more ppts needed
42
why are more participants needed for an independent groups design
as two different groups of ppts are needed (one for each condition) UNLIKE repeated measures which uses less ppts as all ppts take part in all conditions
43
what is a repeated measures design
all ppts take part in all conditions
44
what is a strength of repeated measures design
removes individual differences
45
why do repeated measures designs remove individual differences
because same ppts take part in all conditions so researcher can be sure that it is the IV impacting the DV rather than any other variable increasing internal validity UNLIKE independent groups design which uses different groups across conditions so IDs may be present
46
what is a weakness of repeated measures design
order effects
47
why do repeated measures designs have order effects
as all ppts take part in all conditions meaning their performance in the second condition is impacted by performance in first lowering internal validity UNLIKE IG where ppts take part in only one condition so cannot experience order effects
48