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Variables in research

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Every experiment tests whether changing one thing affects another. To design or evaluate research, you need to identify the variables.

Independent and dependent variables

Independent variable (IV): the variable the researcher changes or manipulates, to see its effect.
Dependent variable (DV): the variable that is measured, to see if it has been affected by the IV.
Example: testing whether music affects memory. IV: whether music is playing or not. DV: the number of words recalled.
Variables should be operationalised: defined in a way that can be measured, for example 'number of words recalled out of 20' rather than 'memory'.

Extraneous variables

Extraneous variables are any other variables that might affect the DV and spoil the results. If they are not controlled, we cannot be sure the IV caused the change.
Situational variables: features of the environment or procedure, such as noise, temperature, time of day or the instructions given.
Participant variables: differences between the people taking part, such as age, intelligence, mood, tiredness or experience.
An extraneous variable that actually does change the results is sometimes called a confounding variable.

Spotting variables

Ask: what is being changed (IV), what is being measured (DV), and what else could affect the measure (extraneous)?
Worked example

A psychologist tests whether students recall more words in the morning or afternoon. Identify the IV and the DV.

  1. The researcher changes the time of day: that is the IV.
  2. The number of words recalled is measured: that is the DV.

Answer: IV: time of day (morning or afternoon). DV: number of words recalled.

Key idea

The IV is changed by the researcher; the DV is measured. Extraneous variables can affect the DV: situational ones come from the environment, participant ones from differences between people. Variables should be operationalised so they can be measured.

The interactive lesson includes the diagrams for this topic.

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