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Choice of analysis pathway dramatically affects statistical outcomes in breaking continuous flash suppression.

James Allen Kerr1,2, Guido Hesselmann3, Romy Räling4

  • 1Visual Perception Laboratory, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany. kerr0088@gmail.com.

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The analysis method significantly impacts results in human visual awareness studies using breaking continuous flash suppression (bCFS). Standardizing data analysis pathways is crucial for reliable scientific conclusions in bCFS research.

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Area of Science:

  • Cognitive Neuroscience
  • Psychology
  • Visual Perception

Background:

  • Breaking Continuous Flash Suppression (bCFS) is widely used to investigate human visual awareness.
  • Existing literature on bCFS is marked by inconsistent findings and methodological critiques.
  • Previous reviews primarily addressed design flaws and logical errors, overlooking analytical choices.

Purpose of the Study:

  • To demonstrate how different analytical pathways affect statistical outcomes in bCFS data.
  • To examine the influence of psycholinguistic variables on access to awareness within bCFS paradigms.
  • To highlight the impact of analytical choices on perceived results in bCFS research.

Main Methods:

  • Applied a range of analytical methods to a representative bCFS dataset.
  • Methods were based on real instances found in published bCFS literature.
  • Reviewed published bCFS studies to summarize common data transformation and trimming practices.

Main Results:

  • The choice of statistical analysis pathway significantly alters the perceived outcome of bCFS studies.
  • Common practices like data transformation and trimming are prevalent, but more robust methods are underutilized.
  • Classical and complex analytical approaches yield divergent interpretations of bCFS data.

Conclusions:

  • Analytical pathway selection critically influences conclusions drawn from bCFS research.
  • Adoption of open data and analysis pathways can enhance the reliability and testability of bCFS findings.
  • Standardizing analytical practices is essential for advancing the field of human visual awareness research.