research methods Flashcards

1
Q

experimental method

A

manipulation of an IV to measure the effect on the DV

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2
Q

types of experiments

A

lab
natural
quasi
field

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3
Q

aim

A

general statement of what the researcher intends to investigate, purpose of study

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4
Q

hypothesis

A

clear, precise, testable statement that states the relationship between the variables to be investigated

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5
Q

directional hypothesis

A

states the direction of the difference or relationship

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6
Q

non-directional hypothesis

A

does not state the direction of difference or relationship

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7
Q

variables

A

any thing that can vary or change within an investigation
generally used in experiments to determine if changes in one thing result in changes to another

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8
Q

independent variable

A

some aspect of experimental situation that is manipulated by the researcher or changes naturally so the effect on DV can be measured

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9
Q

dependent variable

A

variable that is measured by the researcher
any effect on DV should be caused by the change in the IV

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10
Q

operationalisation

A

clearly defining variables that states how they can be measured

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11
Q

extraneous variables

A

any variable, other than the IV that may affect the DV if it is not controlled
EVs essentially the nuisance variables that do not vary systematically with the IV

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12
Q

confounding variables

A

a kind of EV but variables vary systematically with the IV
we cannot tell if any change in the DV is due to the IV or CV

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13
Q

demand characteristics

A

Features of a piece of research which allow the participants to work out its aim and/or
hypothesis. Participants may then change
their behaviour and so frustrate the aim of the research

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14
Q

investigator effects

A

any effect of the investigator’s behaviour (conscious/unconscious) on the research outcome
may include everything from the design of study to the selection of, and interaction with, participants during the research process

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15
Q

randomisation

A

the use of chance methods to control for the effects of bias when designing materials and deciding the order of experimental conditions

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16
Q

standardisation

A

using exactly the same formalised procedures and instructions for all participants in a research study

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17
Q

experimental designs

A

the different ways in which participants can be organised in relation to the experimental conditions

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18
Q

independent groups design

A

participants are allocated to different groups where each group represents one experimental condition

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19
Q

repeated measures

A

all participants take part in all conditions of the experiment

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20
Q

matched pairs design

A

pairs of participants are first matched on some variables that may affect the dependent variable
one member of the pair is assigned to condition A and the other to condition B

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21
Q

random allocation

A

an attempt to control for participant variables in an independent groups design which ensures that each participant has the same chance of being in one condition as any other

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22
Q

counterbalancing

A

an attempt to control for the impact of order effects in a repeated measures design

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23
Q

cons of repeated measures + how to fix

A

demand characteristics - randomisation

effects of order - counterbalancing

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24
Q

pros of repeated measure

A

no individual differences

no participant variables

less time consuming

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25
cons of independent groups + how to fix
participant variables - change to matched pairs more expensive
26
pros of independent groups design
eliminate order effects less time consuming
27
cons of matched pairs
time consuming more expensive some individual differences
28
pros of matched pairs
control of individual diferences
29
pros of lab experiment
high control over CV + EV replication is possible
30
cons of lab experiment
artificial demand characteristics low mundane realism
31
pros of field experiment
higher mundane realism than lab participants unaware
32
cons of field experiment
loss of control over CV and EV ethical issues difficult to generalise
33
pros of natural experiment
provide opportunities for research that may not otherwise be undertaken for practical and ethical reasons high external validity
34
cons of natural experiment
naturally occurring event may only happen very rarely participants cant be randoly generalised may be conducted in a lab
35
pros of quasi-experiment
carried out under controlled conditions
36
cons of quasi-experiment
cannot random allocate IV is not deliberately changed by researcher
37
bias
when certain groups are over/under-represented within the sample selected limits the extent to which generalisations can be made to the target population
38
generalisation
the extent to which findings and conclusions from a particular investigation can be broadly applied to the population
39
name the different types of sampling
random systematic stratified opportunity volunteer
40
random sampling
ppts have equal chance of being selected
41
systematic
every nth ppts
42
stratified
composition of sample reflects the proportions of people in certain subgroups within target population
43
opportunity
anyone who is willing and available
44
volunteer
participants selecting themselves
45
pros of random sampling
potentially unbiased
46
cons of random sampling
difficult and time consuming participants refuse to take part sample might still be unrepresentative
47
pros of systematic sampling
objective
48
cons of systematic sampling
time consuming participants refuse to take part unrepresentative
49
pros of stratified sampling
representative sample
50
cons of stratified sampling
complete representation of the target population is not possible identified strata cannot reflect all the ways the people are different
51
pros of opportunity sampling
convenient less time consuming
52
cons of opportunity sampling
unrepresentative researcher bias
53
pros of volunteer sampling
easy less time-consuming participants more engaged
54
cons of volunteer sampling
demand characteristics same personality type
55
name ethical issues
informed consent deception protection from harm privacy and confidentiality
56
pilot studies
small-scale trial run of actual investigation check procedures, materials, measuring scales allow researcher to make changes or modifications
57
single-blind study
participants not told the aim researcher knows
58
double-blind
both researcher and participants do not know the aim
59
types of observation techniques
naturalistic controlled covert over participant non-participant
60
pros of naturalistic observation
high external validity
61
cons of naturalistic observation
lack of control over variables make replication hard
62
pros of controlled observation
control of variables replication
63
cons of controlled observation
findings cannot be adapted to real life
64
pros of covert observation
participants unaware they are being watched no demand characteristics internal validity
65
cons of covert observation
ethics
66
pros of overt observation
more ethically acceptable
67
cons of overt observation
knowledge that participants have may act as a significant influence on their behaviour
68
pros of participants observation
give researchers increased insight into peoples lives external validity
69
cons of participant observation
researcher may come to identify too strongly with those they are studying and lose objectivity
70
pros of non-participant
maintain objective psychological distance less danger of them going naive
71
cons of non-participant
lose valuable insight too far from people and behaviour
72
strengths of correlation
useful preliminary tool for research by assessing strength and direction of a relationship quick and economical secondary data can be used
73
limitation of correlation
lack of experimental manipulation and control within a correlation can only tell us how variables are related but not why third variable misused misinterpreted
74
positively skewed
long tail on the right
75
negatively skewed
long tail on the left
76
what is a type 1 error
lenient too much chance false positive falsely reject null
77
what is a type 2 error
strict no room for chance false negative falsely accept null