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Six persistent research misconceptions.

Kenneth J Rothman1

  • 1Research Triangle Institute, Research Triangle Park, NC, USA, KRothman@rti.org.

Journal of General Internal Medicine
|January 24, 2014
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Summary
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This study identifies six persistent misconceptions in research methodology, challenging outdated ideas about study design hierarchy, sample representativeness, interaction terms, variable categorization, multiple comparison adjustments, and significance testing. Addressing these flawed shortcuts can improve scientific rigor.

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Area of Science:

  • Research Methodology
  • Scientific Rigor
  • Biostatistics

Background:

  • Scientific knowledge evolves rapidly, yet research conduct concepts and methods lag behind.
  • Persistent misconceptions in research methodology hinder scientific progress and critical evaluation.
  • Outdated ideas are perpetuated in academic settings, including journals, classrooms, and textbooks.

Purpose of the Study:

  • To stimulate discussion and critical evaluation of enduring misconceptions in research conduct.
  • To identify and challenge six specific, commonly held but flawed, beliefs about research methodology.
  • To encourage the abandonment of intellectual shortcuts that compromise thoughtful research approaches.

Main Methods:

  • Identification and enumeration of six prevalent misconceptions regarding research design and analysis.
  • Critical examination of the flaws inherent in each identified misconception.
  • Discussion of the persistence of these misconceptions despite their apparent invalidity.

Main Results:

  • Misconception 1: A rigid hierarchy of study designs (RCT > cohort > case-control) is invalid.
  • Misconception 2: Representative samples are not always essential for valid generalization.
  • Misconception 3: Non-significant interaction terms do not preclude biologic interaction.
  • Misconception 4: Percentile-based cut-points for continuous variables are not always optimal.
  • Misconception 5: Adjustments for multiple comparisons are not universally required.
  • Misconception 6: Over-reliance on significance testing can be detrimental to data interpretation.

Conclusions:

  • Challenging these six persistent misconceptions is crucial for advancing research methodology.
  • These misconceptions persist as intellectual shortcuts, impeding more rigorous scientific thinking.
  • Open debate and critical discussion are needed to discard these outmoded research ideas.