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Related Concept Videos

Null and Alternative Hypotheses01:16

Null and Alternative Hypotheses

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The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
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There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
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Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...
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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
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Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
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Updated: Mar 18, 2026

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
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Subliminal or not? Comparing null-hypothesis and Bayesian methods for testing subliminal priming.

Anders Sand1, Mats E Nilsson1

  • 1Gösta Ekmans Laboratory, Department of Psychology, Stockholm University, SE-106 91 Stockholm, Sweden.

Consciousness and Cognition
|June 29, 2016
PubMed
Summary
This summary is machine-generated.

Conventional methods for detecting subliminal priming are unreliable, often falsely indicating effects. A Bayes factor analysis is a more dependable diagnostic tool for researchers studying subliminal perception.

Keywords:
Bayes factorNull-hypothesis significance testingSignal detection theorySubliminal priming

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Perception Research

Background:

  • Subliminal priming research faces challenges in verifying that observed effects stem from unconscious perception.
  • Current methods rely on direct perception measures or regression analyses at chance levels, which may be insufficient.

Purpose of the Study:

  • To evaluate the reliability of conventional statistical methods in diagnosing subliminal priming.
  • To introduce and recommend a more robust analytical approach for subliminal priming research.

Main Methods:

  • Simulation of participant data where only those perceiving a prime exhibit priming effects.
  • Application of conventional statistical tests (group-level direct perception, regression) to simulated data.
  • Calculation and evaluation of Bayes factors for the same simulated data.

Main Results:

  • Conventional analyses demonstrated a high rate of falsely supporting subliminal priming in simulations.
  • Bayes factor calculations rarely produced false positives, indicating higher reliability.
  • The study highlights significant error rates in standard diagnostic procedures for subliminal priming.

Conclusions:

  • Conventional statistical tests for subliminal priming are not reliable and yield frequent false positives.
  • Bayes factors offer a more trustworthy method for confirming genuine subliminal priming effects.
  • Researchers investigating subliminal priming should adopt Bayes factor analysis for more accurate conclusions.