Variables

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  • Created by: joshway99
  • Created on: 12-02-16 21:28
Independent Variable
The variable being manipulated by the researcher.
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Dependent Variable
The variable being measured to see if a change occurs.
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Co-Variables
Variables that have a correlation.
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Operationlisation
A way to manipulate the Independent Variable so that the Dependent Variable can be measured.
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Extraneous Variables
Variables that influence the participants. Examples of these would be room conditions, time of day, distractions, mood and tiredness.
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Co-Founding Variables
An Extraneous Variable that hasn't been controlled.
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How do you overcome the Extraneous Variable 'Environment'?
Standardisation; Ensuring every participant is tested under the same conditions.
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How do you overcome the Extraneous Variable 'Participant'?
Matched Pair Design; Matching participants on age, gender, etc. OR Representative; Ensuring there is a wide range.
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How do you overcome the Extraneous Variable 'Investigator'?
Double Blind Technique; Researcher and participant don't know the aims of the study OR Inter-Rater Reliability; When two or more researcher collects the data.
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How do you overcome the Extraneous Variable 'Demand Characteristics'?
Deception; Lie to the participant.
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How do you overcome the Extraneous Variable 'Order or Practice Effects'?
Counterbalancing; One group does test 1 then 2 and another group does test 2 then 1.
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Other cards in this set

Card 2

Front

The variable being measured to see if a change occurs.

Back

Dependent Variable

Card 3

Front

Variables that have a correlation.

Back

Preview of the back of card 3

Card 4

Front

A way to manipulate the Independent Variable so that the Dependent Variable can be measured.

Back

Preview of the back of card 4

Card 5

Front

Variables that influence the participants. Examples of these would be room conditions, time of day, distractions, mood and tiredness.

Back

Preview of the back of card 5
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