Research Methods Flashcards

(63 cards)

1
Q

Experimental method

A

A process of manipulating an IV to see the effect on the DV

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2
Q

Aim

A

A statement of what the researchers intend to find out in a research

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3
Q

Hypothesis

A

A precise testable statement about the assumed relationship between variables

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4
Q

Directional hypothesis

A

States the direction of the difference or relationship
Used when previous research suggests a particular outcome

Condition 1 will get more/less DV than those in condition 2

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5
Q

Non directional hypothesis

A

Does not state the direction
When there is no previous research or if it had contradictory findings

There will be a difference in the DV of those in condition 1 and condition 2

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6
Q

Independent variable

A

Some aspect of the experimental situation that is manipulated by the researcher so the DV can be measured

What I change

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7
Q

Dependent variable

A

The variable that is measured by the research

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8
Q

Operationalisation

A

Clearly defining variable to ensure that they are in a form that can be easily tested

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9
Q

Extraneous variables

A

Variable besides the IV which may have an effect on the DV
Nuisance variable that do not vary systematically with the IV

E.g. individual differences

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10
Q

Confounding variables

A

Variable besides the IV which may have affected the DV
Do vary systematically with the IV
Only affects one group

E.g. practise effects, fatigue effects

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11
Q

Demand characteristics

A

Cue from researcher that ppts may interpret as revealing the purpose of the investigation
May lead to ppt changing their behaviour

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12
Q

Investigator effects

A

Any effect of the investigators behaviour (conscious or unconscious) on the research outcome
Everything from design to study to interaction of ppts during research process

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13
Q

Controlling extraneous variables

A

Randomisation

Standardisation

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14
Q

Randomisation

A

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

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15
Q

Standardisation

A

Making everything the same

Using exactly the same formalised procedures and instructions for all ppts in a research study

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16
Q

Independent groups

A

Ppts divided into 2 groups

One group takes part in condition 1 and one group takes part in condition 2

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17
Q

Strengths of independent groups

A

No order effects

Higher in internal validity

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18
Q

Limitations of independent groups

A

Cannot control effects of ppt. variables or diff. variables

Needs more ppts. to obtain same amount of data

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19
Q

Repeated measures

A

One group of ppts

The ppts take part in both conditions of the experiment

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20
Q

Strengths of repeated measures

A

Does not need as many ppts

Quicker

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21
Q

Limitations of repeated measures

A

Order effects
Boredom effect
May act to demand characteristics

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22
Q

Matched pairs

A

The people for the experiment are tested before taking part and are matched for qualities into pairs

One member of the pair takes part in one conditions, the other in the other condition

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23
Q

Strengths of matched pairs

A

No boredom effect
No order effect
Most accurate

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24
Q

Limitations of matched pairs

A

Time consuming
Need a very large sample as it’s difficult to match ppts on key variables
Not possible to control all variables as you can only match on variables known to be relevant

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25
Dealing with limitations of independent groups
Individual differences - randomisation | Distributes ppts variables evenly
26
How to deal with limitation of repeated measures
Counterbalancing - either AB or BA or ABBA
27
How to deal with limitation of matched pairs
Restrict no. of variables to match on to make it easier | Conduct a pilot study to consider key variables that might be important when matching
28
Mutually exclusive experiment types
Lab and Field | Natural and Quasi
29
Lab experiment
Researcher controls as many variables as possible | Usually done in a lab using standardised procedures
30
Strengths of Lab experiment
High replicability High external validity High internal validity
31
Limittions of Lab experiment
Lacks mundane realism | Low ecological validity
32
Field experiment
An experiment performed in the natural environment of those being studied
33
Strengths of Field experiments
Ppts not aware they're being studied; no demand characteristics High ecological validity
34
Limitations of Field experiment
Time consuming and expensive Low internal validity, can't control several extraneous variables Unethical
35
Natural experiment
An experiment conducted when it is not possible (ethically or practicality), to deliberately manipulate the IV. It is said that the IV occurs 'naturally' e.g. brain damage patients
36
Strengths of Natural experiments
Increased mundane realism | Allows research where IV cant be practically/manipulated
37
Limitations of Natural experiments
Cant demonstrate relationships | Cant control confounding variables
38
Quasi experiments
Researcher makes use of naturally occurring differences between people(climate)
39
Strengths of Quasi experiments
Allows comparison between types of people
40
Limitations of Quasi experiments
Can only be used where conditions vary naturally Low internal validity Low ecological validity
41
Target population
Group of people that the researcher is interested in
42
Types of sampling
``` V - volunteer R - random O - opportunity S - stratified S - systematic ```
43
Random sample
Form of sampling in which all members of a target population is obtained and they each have an equal chance of being selected
44
Strengths of random sample
Prevents researcher bias
45
Limitations of random sample
Difficult Time consuming Ppts may refuse to take part Sample may be unrepresentative
46
Systematic sample
Where every nth member of the population is selected
47
Strengths of systematic samples
Avoids researcher bias | Usually fairly representative
48
Limitations of systematic samples
Not truly representative unless you choose the number randomly
49
Stratified sampling
Composition of the sample reflects the proportions of prople in certain sub groups
50
Strengths of stratified sampling
Avoids researcher bias | Sample is representative
51
Limitations of stratified sampling
Not fully representative as population cannot be separated by just one strata
52
Volunteer sample
Self selected | Ppts choose to be part of the studying
53
Strengths of a volunteer sample
Easy Minimal input Less time consuming
54
Limitations of volunteer sample
Volunteer bias - attracting a certain type of person
55
Opportunity sample
Selecting those who are readily available
56
Strengths of opportunity sample
Convenient Cheap Time and effort is saved
57
Limitations of opportunity samples
Unrepresentative | Researcher bias
58
Single blind procedures
Ppt is unaware of the research aims and/or which condition of the experiment they are receiving Prevents ppts from seeking cues about the aims and reacting to them
59
Double blind procedure
Both the ppt and the person conducting the research are ‘blind’ to the aims and/or hypotheses Person conducting experiment is less likely to produce cues about what they expect
60
Naturalistic observation
Behaviour is studied in a natural situation
61
Evaluation of naturalistic observation
Realistic picture Increased ecological validity Lack of control
62
Controlled observation
Form of investigation in which behaviour is observed but under conditions where certain variables have been organised by researcher
63
Evaluation of controlled observation
Establish cause and effect | Makes environment feel unnatural