research methods Flashcards

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1
Q

What is an aim?

A

A statement of what the researcher intends to find out in a research study

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2
Q

What is a hypothesis?

A

a precise testable statement about the relationship between 2 variables

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3
Q

What is it when we operationalise?

A

ensuring the variables are measurable

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4
Q

What is an independent variable?

A

something that is manipulated by the experimenter

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5
Q

What is a dependent variable?

A

what the IV affects, what is measured by the experimenter

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6
Q

What is an experiment ?

A

a research method where the IV is deliberately manipulated to observe the effect on the DV

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7
Q

What is a standardised procedure?

A

a set of procedures that are the same for all participants so the study can be repeated e.g. standardised instructions

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8
Q

What are extraneous variables?

A

variables that make it difficult to detect a significant effect, they may have an effect upon the DV but are not part of what is being manipulated or measured.

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9
Q

What is a directional hypothesis?

A

states the direction of the predicted difference between 2 groups.Used when previous research suggests the findings will produce a particular outcome. Also known as a 1-tailed hypothesis (1 of 1 outcomes)

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10
Q

What is a non-directional hypothesis?

A

predicts there is a difference between 2 conditions but doesn’t state the direction of the difference. Also known as a 2-tailed hypothesis (1 of 2 outcomes)

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11
Q

What is a null hypothesis?

A

a prediction of what may not happen in the experiment

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12
Q

State the hypothesis rules

A

-Must contain variables which are operationalised
-A directional hypothesis is used due to previous research demonstrating precise findings
-A non-directional hypothesis will generally contain the words ‘there will be a difference/association’ between 2 variables

If the study describes a relationship it will be correlational and so the hypothesis must include the term ‘relationship/correlation’
A directional hypothesis for a correlational study will include the phrase ‘positive/negative relationship’

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13
Q

What are the strengths and limitations to repeated measure experimental designs? How do we control the limitations?

A

L - Order effects, e.g. participants may do better on the second task due to practice or worse due to fatigue

Counterbalancing deals with order effects
- AB or BA (divide participants into 2 groups. Group 1 does condition A then B, group 2 does condition B then A)

S- participant variables are controlled, fewer participants are needed so cheaper

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14
Q

What are the strengths and limitations to independent group design? How do we control the limitations?

A

L- Individual differences, e.g. participants in condition 1 may be naturally better at the task
Individual differences should be controlled by random allocation of participants as variables should be distributed evenly by doing this
L- More participants required than for a repeated measures design to have the same amount of data - more expensive

S- less time consuming than matched pairs design, doesn’t suffer order effects as participants are in separate conditions

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15
Q

What are the strengths and limitations to matched participants design? How do we control the limitations?

A

L - Time consuming and difficult to match participants on key variables
Restrict the number of variables to match on to make it easier and conduct a pilot study to help identify the key variables worth studying
L - not possible to control all variables

S- tries to match variables so equals fewer order effects, more chance of having more varied participants in each group.

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16
Q

What is mundane realism?

A

How the study mirrors the real world, is the research relatable to real life experiences

17
Q

What is a confounding variable?

A

A variable that changes the DV rather than the IV affecting it so the results may be meaningless

18
Q

What is an extraneous variable?

A

‘Extra variable’ that can have an effect upon the DV, muddy the waters making it more difficult to detect a significant effect

19
Q

Explain the 5 types of validity.

A

Internal - the degree to which an observed effect was due to experimental manipulation rather than other variables (confounding, extraneous)

External - the degree to which research findings can be generalised

Ecological - the ability to generalise a research effect beyond a particular setting

Population - the extent to which the findings can be generalised to other groups besides those who took part in the study

Historical - the extent to which the findings from one time period can be applied to another

20
Q

What do experiments involve?

A

Involve the manipulation of the IV while trying to keep all other variables constant
Allow us to study cause and effect

21
Q

What are the 4 types of experiments?

A

Labatory
Field
Natural
Quasi

22
Q

What is a laboratory experiment? What are the strengths and limitations?

A

Conducted in a special environment
Carefully controlled variables
Participants aware they are taking part but unlikely to know the aims of the study

Strengths:
Controlled variables = high internal validity
Easy to replicate = reliable results

Limitations:
Low ecological validity - participants know they are being watched
IVs/DVs may not represent real life
Low mundane realism

23
Q

What is a field experiment? What are the strengths and limitations?

A

Conducted in a natural environment
Participants not usually aware they are participating - more natural behaviour

Strengths:
More natural, greater mundane realism = higher external validity

Limitations:
IV may lack realism and so they are not likely everyday occurrences
Difficult to control extraneous and confounding variables = lower internal validity
Ethical issues of not knowing you are being studied

24
Q

What is a natural experiment? What are the strengths and limitations?

A

A naturally occurring event that couldn’t be researched in a laboratory due to practical and ethical reasons.
The IV therefore varies naturally but the DV may still be tested.

Strengths:
Allows us to research behaviour that would be difficult to achieve in a laboratory setting
Studying effects of real issues = high ecological validity + mundane realism

Limitations:
IV not directly manipulated so can’t establish cause and effect
Internal validity questioned as participants not randomly allocated so there could be confounding variables

25
Q

What is a quasi experiment? What are the strengths and limitations?

A

Studies that are almost experiments
IV is naturally occurring (not been manipulated) and the DV is measured in a laboratory
IV based on differences that naturally occur between people e.g. gender/age

Strengths:
Allows comparisons to be made between different types of people
Often carried out under controlled conditions so have the same strengths as laboratory experiments

Limitations:
Can’t randomly allocate participants to conditions so may suffer from confounding variables
Can only be used where conditions vary naturally
Low internal validity = participants know they are being studied
Low ecological validity = DV likely to be an artificial task
Due to unique characteristics of the participants results can be difficult to generalise