An Investigation into the Stroop Effect.

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An Investigation into the Stroop Effect

By Fiona Taylor

Introduction

Stroop conducted experiments in the 1930s on interference with visual perception. He discovered that participants had difficulties naming colours when they were printed in different coloured inks.

In some lists, colour words were spelled and printed in the same ink colours (congruous).

Example: RED

In other lists the words and colours did not match (incongruous).

Example: GREEN

Participants in Stroop's experiments took longer to name the incongruous words. He called this the 'Stroop effect'.

Aim

To investigate the Stroop effect by conducting an experiment to time how long it takes for participants to say the colours of the words on two different lists (congruent/incongruent). To then produce evidence in the form of graphs and data analysis to support or disprove the following hypothesis.

Hypothesis

The average mean time to complete list two (incongruous) will be greater than the average mean time to complete list one (congruous).

IV - lists of words congruent/incongruent

DV - time taken to name ink colours measured in seconds

Design

As quantitative data (time) is being measured, the experiment should be as controlled as possible. A field experiment will allow as many of the possible extraneous variables that may affect the DV to be controlled. If these variables are controlled it is more likely that any change in the DV is a result of the IV rather than other confounding variables.

Variables to be Controlled:

* the room in which the experiment is to take place
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* time of day

* lighting

* list size (number of colour words)

* font size/colours/background/row column size (all to be standardised to prevent confounding variables)

* no other persons in the room to be present

* English as first language

* reading glasses to be worn

* background noise

Sample

A sample of sufficient size to be representative of the population must be chosen, this will be twelve people. This number should yield enough data to allow comparisons/calculations to be made. An opportunity sample will be taken. Criteria ...

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