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Pygmalion in the laboratory.

R Allen Gardner1, Matthew H Scheel, Heidi L Shaw

  • 1University of Nevada, Reno, 89557, USA. gardner@unr.edu

The American Journal of Psychology
|February 14, 2012
PubMed
Summary
This summary is machine-generated.

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Researchers can unintentionally influence test subjects by leading them to specific answers. This article explains how to design effective blind tests to prevent such experimental errors and ensure accurate results.

Area of Science:

  • Experimental Psychology
  • Animal Behavior Studies
  • Research Methodology

Background:

  • Testers and bystanders can inadvertently lead subjects to answers in laboratory and classroom settings.
  • This subtle influence, known as experimenter bias or leading, can affect both human and animal participants.
  • Many researchers attempt to mitigate this by employing blind testing procedures.

Purpose of the Study:

  • To provide guidance on designing effective blind tests.
  • To illustrate common methodological errors that lead to confounding results.
  • To help researchers, editors, and readers identify and avoid experimenter bias.

Main Methods:

  • The article outlines principles for designing robust blind tests.
  • It details common pitfalls and errors in experimental design that can introduce bias.

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  • Examples of how leading can compromise data integrity are discussed.
  • Main Results:

    • Failure to implement proper blinding can lead to systematic errors in experimental outcomes.
    • Unintentional cues from experimenters can significantly influence subject responses.
    • Confounding results due to leading can have substantial theoretical implications.

    Conclusions:

    • Scrupulous use of blind tests is crucial for maintaining the integrity of experimental research.
    • Awareness and detection of leading are essential for accurate scientific interpretation.
    • Implementing rigorous blinding protocols enhances the reliability and validity of study findings.