RM- Experiments Flashcards

(63 cards)

1
Q

Independent variable

A

What the researcher changes in an experiment

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2
Q

Dependent variable

A

What is being measured in the experiment

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3
Q

Control variable

A

What is kept the same during every measure in the experiment

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4
Q

Demand characteristics

A

When participants try to guess the aim of the study, leading to a change in their behaviour

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5
Q

Investigator effects

A

Any impact of the researchers behaviour on the results of the study (eg. Participant selection and experimental design)

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6
Q

Extraneous variables

A

Any variable other than the IV that affects the DV
Can be participant or situational

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7
Q

Confounding variables

A

Affects the two variables, making it seem like they have a cause and effect relationship

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8
Q

Participant variables

A

Individual differences between participants

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9
Q

Situational variables

A

Features of the environment that affect the DV

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10
Q

Random allocation

A

Each participant has an equal chance of being in each condition

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11
Q

Standardisation

A

Procedures and instructions are the same for all participants

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12
Q

Randomisation

A

The order of conditions and designs are decided by chance methods

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13
Q

Experimental designs

A

Independent groups
Repeated measures
Matched pairs

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14
Q

Repeated measures

A

All participants take part in all measures of the IV

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15
Q

Independent groups

A

Ps split into groups and each group does one measure of the IV

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16
Q

Matched pairs

A

Ps are paired using a variable relative to the experiment (eg. Age) and each do a different measure of the Iv. Their results are compared to each others

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17
Q

Evaluation of repeated pleasures

A

✅Controls individual differences
✅Needs fewer participants
❌Order effects
❌Demand characteristics

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18
Q

Evaluation of independent groups

A

✅No order effects
✅Less demand characteristics
❌Confounding and participant variables
❌Needs more participants

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19
Q

Evaluation of matched pairs

A

✅Controls participant variables
✅No order effects
❌Need more participants
❌Doesn’t account for other individual differences

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20
Q

Counter balancing

A

Addresses order effects
Some participants do condition A then B, others do B then A
This stops practice effects from influencing the results

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21
Q

Types of experiment

A

Laboratory
Field
Natural
Quasi

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22
Q

Lab experiment

A

In a highly controlled environment
IV is manipulated

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23
Q

Evaluation of lab experiment

A

✅High replicability
✅Limits extraneous variables
❌Low generalisability
❌Demand characteristics

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24
Q

Field experiment

A

In participants natural environment
IV is manipulated

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25
Evaluation of field experiment
✅Limits demand characteristics ❌Harder to control ❌Ethical issues of consent
26
Natural experiment
Can occur in any setting IV is not manipulated
27
Evaluation of natural experiment
✅High external validity ✅No harm caused if traumatic events are naturally occurring ❌Low reliability/standardisation ❌Participants cannot be allocated conditions - may be biased
28
Quasi experiment
Can occur in any setting IV is naturally occurring like age or eye colour
29
Evaluation of quasi experiment
✅High ecological validity ✅Tests things which can’t be manipulated ❌Ps can’t be allocated conditions so may be biases ❌Can’t establish cause and effect
30
Pilot studies
A small scale version of an experiment Tests for changes needed before the real study
31
Single blind procedure
Participant not told the true aims of the study to avoid demand characteristics (investigator effects may still exist)
32
Double blind procedure
Both researcher and participant not told true aims of the study to avoid demand characteristics and investigator effects
33
Control groups
Group that the participant group is compared to (eg. If testing drugs, they are given a placebo)
34
Definition of reliability
How consistent the findings from a study or measurement are
35
Ways to test reliability
Test retest reliability Inter rater/observer reliability
36
Test retest reliability
The consistency of results of a test which is done on multiple occasions with the same participants
37
Inter rater/observer reliability
The consistency between two or more observers in the categorisation of behaviour
38
Ways to improve reliability
Give training to researchers/observers Ensure clear criteria in an observation Standardisation of procedure
39
Definition of validity
The extent to which the results of a test are true or accurate
40
Ecological validity
The extent to which findings can be applied from one setting to another (does it reflect real life?)
41
Temporal validity
The extent to which a study’s findings can be applied from one time period to another
42
Population validity
The extent to which findings of a study can be generalised to the target population (how well the sample reflects the target population.)
43
Internal validity
How well the test measures what it aimed to
44
External validity
How well the results can be applied to real life beyond the study
45
Target population
A group of people who the researcher wants to study
46
Sampling frame
A list of people in the target population who the sample will be picked from
47
Sample
The participants who take part in the research
48
4 sampling methods
Random Opportunity Stratified Systematic Volunteer
49
Random sampling
Each participant has an equal chance of being chosen
50
Evaluation of random sampling
✅ Avoids researcher bias ❌ Could be randomly biased ❌Participants could refuse to take part
51
Opportunity sampling
Choosing people who are readily available at the time of the study
52
Evaluation of opportunity sampling
✅Convenient ❌Possible researcher bias ❌Unrepresentative as the same people may be at the same place at a specific time
53
Volunteer/ self selected sampling
Study is advertised and participants sign up to do it
54
Evaluation of volunteer sampling
✅Convenient ✅Participants want to take part ❌May be unrepresentative (volunteer bias-attracting a certain profile of people)
55
Systematic sampling
Using the ordered sampling frame, pick every nth person to take part
56
Evaluation of systematic sampling
✅Diverse sample ✅No researcher bias ❌Requires sampling frame (effort) ❌Participants could refuse to take part
57
Stratified sampling
Subgroups identified in the target population. The proportion of subgroups in the population is matched in the sample
58
Evaluation of stratified sampling
✅Representative ✅Avoids researcher bias ❌Categories need to be defined ❌Requires sampling frame ❌Participants may refuse to take part
59
Definition of hypothesis
A precise and testable statement which stated the prediction of the variables being tested’s relationship
60
Directional hypothesis
States the exact relationship the variables will have Also ‘one tailed’ hypothesis
61
Non directional hypothesis
Only states whether the variables will have a relationship, not what it will be Also ‘two tailed’ hypothesis
62
Null hypothesis
States that the variables will be unrelated
63
Operationalisation
Definitions of the variables to enable behaviour to be measured objectively (eg. Measuring happiness from smiles)