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Related Experiment Video

Updated: May 9, 2026

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

Upfront design beats post hoc reliability fixes.

Junhua Dang¹, Shanshan Xiao²

¹School of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, China.

Trends in Cognitive Sciences

|May 7, 2026

Summary

This summary is machine-generated.

Behavioral tasks struggle with reliable individual measurements. Improving reliability requires increasing trials per person and enhancing per-trial informativeness, crucial for translational research.

Keywords:

reliability paradox task calibration within-person sampling

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Last Updated: May 9, 2026

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Published on: September 27, 2019

Area of Science:

Cognitive psychology
Neuroscience
Psychometrics

Background:

Behavioral tasks frequently demonstrate significant group-level effects.
However, these tasks often yield unreliable estimates at the individual level.
Existing methods to enhance reliability show limited success.

Purpose of the Study:

To identify the key factors influencing person-level reliability in behavioral tasks.
To advocate for a focused approach on measurement engineering for improved translational research.

Main Methods:

The study reviews existing literature on reliability in behavioral measurements.
It emphasizes the two primary determinants of person-level reliability: number of trials per person and informativeness of each trial.
The analysis supports a 'two-lever' model for reliability enhancement.

Main Results:

Person-level reliability is primarily determined by the number of trials and the informativeness of each trial.
Many proposed 'reliability fixes' are ineffective because they do not address these core determinants.
Evidence supports the 'two-lever' view of reliability.

Conclusions:

Routine reliability auditing and measurement engineering are essential for advancing translational research.
Focusing on increasing trials per person and per-trial informativeness is key to improving individual measurement reliability.
This approach offers a more effective strategy than general 'reliability fixes'.