Research Methods Flashcards

(43 cards)

1
Q

What are the characteristics of lab experiments?

A

The IV has been deliberately manipulated by the experimenter
An artificial environment, often using artificial stimuli
High levels of control over any extraneous variables

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2
Q

What are two strengths of lab experiments?

A

High control over variables- reduces the chance of them becoming confounding variables

Easy to replicate- due to high levels of control and standardisation, it is possible to discover if the results are reliable.

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3
Q

What are two disadvantages of lab experiments?

A

Problem of demand characteristics- the participants might try to guess the aim of the research and produce behaviours/responses which they ‘think’ the research is looking for.

Issue of low ecological validity- participants may not act or respond in the same way they would in a real life environment/to real life ‘stimuli’.

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4
Q

What are the characteristics of field experiments?

A

The IV has been deliberately manipulated by the experimenter
They typically take place in the natural environment of the participants
There is some control over extraneous variables

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5
Q

What are two advantages of field experiments?

A

Less demand characteristics

Improved ecological validity- their behavior is more likely to be natural

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6
Q

What are two disadvantages of field experiments?

A

Harder to replicate

Less control over extraneous variables- more difficult to establish a cause and effect relationship

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7
Q

What are ways of controlling extraneous variables?

A

Conduct in a natural environment
Use a single/double-blind condition

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8
Q

What are the characteristics of natural experiments?

A

The IV has not been deliberately manipulated by the experimenter
There is very little control over EVs
It takes advantage of natural settings,situations or behaviours

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9
Q

What are two strengths of natural experiments?

A

Improved ecological validity- participants behaviour is more natural of how they behave normally
Very few demand characteristics- participants may be unaware they are taking part in research

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10
Q

What are two limitations of natural experiments?

A

Causal conclusions not possible- very involvement from the researcher. This means extraneous variables are not controlled.
Very hard to replicate

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11
Q

What are three characteristics of quasi experiments?

A

The IV has not deliberately manipulated by the experimenter, IV is based on an existing difference between people.
The DV may be naturally occurring or measured by the experimenter
They can take place in more natural or controlled environments

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12
Q

What are two strengths of quasi experiments?

A

Higher ecological validity- if its in a naturalistic environment then the participants behaviour is more natural of how they behave normally

Enables research- to compare different groups of people

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13
Q

What are two limitations of the quasi experiment

A

Casual conclusions not possible- other variables relating to the participant may be having the effect.

Very hard to replicate- there is usually less standardisation

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14
Q

What is an independent measure design?

A

Different participants are used in each condition

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15
Q

What are the three experimental designs?

A

Independent, repeatable and matched measure design

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16
Q

What is the repeatable measure design?

A

The same participants complete each condition

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17
Q

What is the matched measure design?

A

Different participants are used in each condition, but participants are matched on any important characteristics which way affect the results

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18
Q

What is a strength and limitation of independent measure designs?

A

Strength- Demand characteristics less likely
Limitation- participant variables

19
Q

What is a strength and limitations of repeated measures design?

A

Strength- fewer participants needed
Limitations- order effects (fatigue)

20
Q

What is a strength and limitation of matched pairs design?

A

Strength- Fewer participant variables
Limitation- more participants needed

21
Q

What are two ways to control experimental design flaws?

A

Order effects- counterbalancing(varying the order of conditions)
Participant variables- control group(not in any condition)

22
Q

What are aims?

A

They are a general statement outlining what the research intends to investigate.

23
Q

What are extraneous variables?

A

Any variable which can affect the results if it is not controlled;

Participant variables- factors regarding the people in the study
Situational variables- the experimental setting and task

24
Q

What is a directional hypotheses?

A

The specific direction of the difference expected to be seen between the two conditions

25
What is a non-directional hypotheses?
There will be a difference between the conditions, but doesn’t predict which condition will have a higher/lower result.
26
What is a demand characteristic?
When a participant tries to guess the aim of the research and will then produce behaviours which they think the research is aiming for.
27
What are two ways of controlling demand characteristics?
Distractor tasks Use a single-blind technique
28
What is an investigator effect?
When the investigator either subconsciously or consciouly gives out clues about the true aim of the research, which they think participants might pick up on.
29
What are two ways to control the investigator effect?
Use a double-blind condition Randomisation
30
What does operationalisation of variables mean?
Defining the variables clearly so that they can be objectively manipulated or measured.
31
What is a strength and weakness of the mean?
Strength- more representative of the data as a whole Weakness- easily distorted by extreme values
32
What is a strength and weakness of the median?
Strength- easy to calculate Weakness- the values of lower and higher numbers are ignored
33
What is a strength and weakness of the mode?
Strength- very easy to calculae Weakness- not representative of the whole data set
34
What is a strength and weakness of the range?
Strength- easy to calculate Weakness- doesn’t give a fair representation of the general distribution of scores
35
What is a Strength and weakness of standard deviation?
Strength- includes all values Weakness- can be distorted by an extreme value
36
What are the three measures of central tendency?
Mean, median and mode
37
What are the two measures of dispersion?
Range and standard deviation
38
What is qualitative data?
Expressed in words e.g interview
39
What is quantitative data?
Expressed numerically e.g can be converted into graphs
40
What is meta-analysis?
Combining the findings from a number of studies on a particular topic
41
What are co-variables?
The variables investigated within a correlation e.g height and weight
42
What is zero correlation?
When there is no relationship between the co-variables
43
What is a strength and weakness of correlation?
Strength- secondary data can be used so quick to carry out Weakness- they cannot demonstrate cause and effect, so we do not know which co-variable is causing the other to change