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Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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Related Experiment Video

Updated: May 8, 2026

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

Subject and experimenter errors in behavioral research with particular reference to motor behavior.

¹a Children's Research Center , University of Illinois.

Journal of Motor Behavior

|August 15, 2013

Summary

This study identifies errors from participants (S) and experimenters (E) in behavioral research. It suggests methods to minimize these errors, improving the reliability of research findings.

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Area of Science:

Behavioral Science Research
Experimental Psychology

Background:

Research in behavioral science is susceptible to errors introduced by both participants and experimenters.
Understanding these error sources is crucial for ensuring the validity of study findings.

Purpose of the Study:

To identify and discuss sources of error in behavioral science research originating from participants and experimenters.
To suggest methods for eliminating or mitigating these identified errors.
To explore the relevance of these errors in the context of motor behavior research.

Main Methods:

Literature review and analysis of existing research on experimental errors.
Identification of common participant (S) and experimenter (E) biases and errors.
Discussion of the interaction between participants and experimenters as a source of error.

Main Results:

Participant errors include over-helpfulness, attempts to deceive the experimenter, and the Hawthorne effect.
Experimenter errors can arise from subtly cueing participants about expected outcomes, personal characteristics, or situational factors.
Experimenter bias can occur through intentional or unintentional transmission of cues regarding the study's hypothesis.

Conclusions:

Awareness and proactive management of participant and experimenter errors are essential for robust behavioral science research.
Implementing strategies to control demand characteristics and experimenter bias can enhance research integrity.
The identified error sources have direct implications for the design and execution of motor behavior studies.