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Group Design

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...

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Related Experiment Video

Updated: May 5, 2026

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding

Published on: October 11, 2018

Individual differences in reading aloud: a mega-study, item effects, and some models.

James S Adelman¹, Maura G Sabatos-DeVito², Suzanne J Marquis¹

¹Department of Psychology, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK.

Cognitive Psychology

|December 5, 2013

Summary

Individual differences in reading speed significantly impact visual word recognition models. A new model, DRC-FC, better captures these variations than existing ones, offering insights into reading processes.

Keywords:

Computational modelling Individual differences Reading aloud Visual word recognition Word naming

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Last Updated: May 5, 2026

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Published on: October 11, 2018

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Published on: October 18, 2018

Area of Science:

Cognitive Psychology
Neuroscience
Computational Linguistics

Background:

Individual differences in reading are often overlooked in visual word recognition models.
Existing models primarily focus on item response time effects and neuropsychological disorders.
Understanding individual variations can refine theories of reading processes.

Purpose of the Study:

To investigate how individual differences in reading aloud performance can inform and test computational models.
To assess the ability of established models (DRC, CDP+) to capture individual differences in response times.
To develop an improved model that better accounts for individual variations in reading.

Main Methods:

100 participants performed a word reading aloud task.
Parameters for the Dual Route Cascaded (DRC) and Connectionist Dual Process Plus (CDP+) models were estimated for each individual.
A modified model, DRC-FC, was developed by altering the frequency effect's locus.

Main Results:

Neither the DRC nor CDP+ models adequately captured the observed individual differences and their correlations.
The novel DRC-FC model demonstrated improved ability to account for correlations among individual differences.
Significant individual differences in reading persist even after controlling for general processing speed.

Conclusions:

Individual differences in reading are crucial for testing and advancing models of visual word recognition.
The DRC-FC model offers a more accurate representation of individual reading variations.
This research provides a valuable dataset and framework for future modeling efforts integrating individual differences.