Experiments (1) Flashcards

1
Q

Types of experiment

A

Laboratory, Field, Quasi

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2
Q

lab strengths (3)

A

.highly controlled
.manipulate the IV
.can be replicated

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3
Q

lab weaknesses (3)

A

.cant generalise to real life setting (lack of ecological validity)
.more effort/time/money
.participant may change behaviour

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4
Q

field strengths (4)

A

.cheaper
,ecologically valid
.easy to get sample
.higher internal validity

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5
Q

field weaknesses (3)

A

.lots of EVs
.participants may have different experiences
.hard to get consent (less ethical)
.harder to replicate

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6
Q

quasi strengths

A

.high ecological validity (IV not manipulated) so true to life
.helps us study variables we cant manipulate

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7
Q

quasi weaknesses (3)

A

.difficult to conduct
.cant control some participant variables
.cant be replicated

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8
Q

experimental designs

A

repeated measures design
independent measures design
matched participants design

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9
Q

repeated measures strengths

A

.reduces participant variables

.easier to get sample - less people

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10
Q

repeated measures weaknesses

A

.order effects

.demand characteristics

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11
Q

independent measures strengths

A

.no order effects

.reduced demand characteristics

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12
Q

independent measures weaknesses (2)

A

.participant variables

.more effort to collect sample

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13
Q

matched participants strengths (4)

A

.reduced participants variables
.no order effects
.lower chance of demand characteristics
.counterbalancing

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14
Q

matched participants weaknesses

A

.more effort to find people

.cant control all EVs by matching

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15
Q

participant variables

A

characteristics of an individual that may affect results e.g age, gender, experience

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16
Q

situational variables

A

features of the research that may affect results e.g order effects

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17
Q

environmental factors

A

factors of the environment that could affect results e.g weather

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18
Q

demand characteristics

A

cues in an experiment that communicate to participants what is expected of them and may unconsciously affect behaviour

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19
Q

alternative hypothesis

A

IV will affect DV

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20
Q

null hypothesis

A

IV wont affect DV

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21
Q

two tailed hypothesis

A

IV will have significant effect on DV, but does not say direction

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22
Q

one tailed hypothesis

A

IV will have significant effect on DV, and does say direction

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23
Q

sampling methods

A

self selecting
random
opportunity
snowball

24
Q

self selecting strengths (2)

A

consent

easy to get participants

25
self selecting weaknesses (2)
not everyone may see advert could be expensive participant variables - all same type of person
26
random strengths (3)
no researcher bias more likely to be generalisable equal chance to be picked
27
random weaknesses (2)
equal chance to be picked could lead to anomalies | may have unwilling participants
28
opportunity strengths (2)
convenient (easy to obtain) | consent
29
opportunity weaknesses (2)
unrepresentative | researcher bias
30
snowball strengths (1)
easy to obtain
31
snowball weaknesses (2)
participant variables | cant generalise
32
ethical considerations (7)
``` informed consent (respect) right to withdraw (respect) confidentiality (respect) protection from harm (responsibility) debrief (responsibility) deception (integrity) only give relevant info (competence) ```
33
primary data
collecting data directly ourselves
34
secondary data
analyse already existing data
35
quantitative strengths (4)
easy to interpret no researcher bias easy to compare establish reliability
36
quantitative weaknesses (2)
no reasoning | low ecological validity - may not represent everyday behaviour
37
qualitative strengths (2)
detailed | shows reasoning
38
qualitative weaknesses (3)
hard to compare cant present in a graph/table hard to analyse
39
measures of dispersion methods
range variance standard deviation
40
variance
score - mean score (d) d squared divide sum of d squared numbers by n-1
41
standard deviation
square root of the variance
42
single blind
participant doesn't know true aims of study
43
double blind
participant and researcher don't know true aims of study
44
internal reliability
was it standardised and replicable
45
external reliability
was sample large enough to be consistent?
46
internal validity
was it testing what it set out to?
47
external validity (population)
can the sample be generalised from?
48
external validity (ecological)
was it true to life?
49
longitudinal study strengths (3)
.controls participant variables .measures change over time .highly valid (population)
50
longitudinal study weaknesses (4)
.cant control some EV's e.g upbringing .time consuming .drop out - need large sample .expensive
51
cross cultural research strengths
.less ethnocentric .investigates nature vs nurture .generalise to larger population
52
cross cultural research weaknesses
.time consuming .language barrier .expensive .more effort
53
ethical considerations - respect
informed consent right to withdraw confidentiality
54
ethical considerations - responsibility
debrief | protection from harm
55
ethical considerations - integrity
deception
56
ethical considerations - competence
only give relevant information