Research Methods - Experimental Methods Flashcards

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1
Q

What is an independent variable

A

The variable the researcher manipulates to determine its effect on the dependent variable.

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2
Q

What are experimental conditions?

A

These are different levels the independent variable can be divided into (the conditions change as it is at different levels)
E.g. testing how chocolate affects mood. Experimental conditions would be 10g of chocolate or 26g of chocolate or no chocolate

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3
Q

What are control conditions used for?

A

They are used a standard to compare experimental conditions to, there may be a control condition where the IV is not manipulated e.g. no chocolate and the effect on mood

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4
Q

What is a dependent variable?

A

The variable that is being measured

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5
Q

What are extraneous variables?

A

Any variable other than IV that COULD effect the DV (results) e.g. sleep, diet

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6
Q

What are confounding variables?

A

Variables that HAVE affected the DV (results) e.g light

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7
Q

What if operationalisation?

A

When the dependent and independent variable is operationalised - the variables are defined and stated how they will be measured.
E.g. aggression means how angry or irritated a person is and this can be measured by displays of verbal or physical act of aggression in a 10 minute period

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8
Q

Laboratory experiment

A
  • carried out in a controlled environment
  • participant randomly allocated to a condition, neither participant or researcher decides
  • artificial setting
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9
Q

Adv of laboratory experiments

A
  • very HIGH LEVELS OF CONTROL over independent variables and dependent variable, so it’s easy to control extraneous variables
  • researcher can manipulate the independent variable and easily determine a CAUSE AND EFFECT relationship between independent and dependent variable
  • can EASILY BE REPLICATED by other researchers
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10
Q

Disadvantage of laboratory experiments

A
  • DEMAND CHARACTERISTICS may occur - can guess aim
  • SOCIAL DESIRABILITY BIAS - behaving in a more positive light
  • LACK OF MUNDANE REALISM - not enough ecological validity, unable to generalise the findings to real life
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11
Q

What are the 4 types of experiments

A

Laboratory
Field
Natural
Quasi

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12
Q

What is a field experiment?

A
  • done in the real world
  • independent variable is controlled
    E.g observing people in high street
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13
Q

Adv of field experiments

A
  • more MUNDANE REALISM and ECOLOGICAL VALIDITY
  • independent variable can be manipulated to easily establish the CAUSE AND EFFECT
    -LESS CHANCE OF DEMAND CHARACTERISTICS compared to lab, most wont even know they are part of an experiment
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14
Q

Disadvantage of field experiments

A
  • less control over extraneous variables therefore research is not valid (its not measuring what is intended)
  • less control over the sample, may not be representative of the target population
  • hard to replicate, unreliable
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15
Q

What is a natural experiment

A
  • naturally occurring independent variable
  • finding people in those conditions rather than putting people in the conditions of the experiment
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16
Q

Adv of natural experiment

A
  • high mundane realism and ecological validity
  • useful when it can be unethical for it to be in a lab or field experiment e.g. a group of naturally stressed men aged 50-60 who have high stress levels and cholesterol
17
Q

Disadvantage of natural experiments

A
  • low control over extraneous variables compared to lab
  • very difficult to replicate, unreliable
  • difficult to determine cause and effect due to low levels of control
18
Q

What is a quasi experiment?

A
  • naturally occurring independent variable
  • the independent variable is a difference that already exists e.g. age, gender
    E.g. men have higher levels of testosterone than women of 50 men and women, all aged 45-50
19
Q

Adv of quasi

A
  • high levels of control, extraneous variable is minimised, confident IV has caused DV
  • replication is very likely due to strict controls
20
Q

Disadv of quasi

A
  • lack of ecological validity, not a reflection of real life
  • demand characteristics may occur, making data invalid
21
Q

What does it mean if data is invalid

A

It is not measuring what it intends to measure