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How Inconsistent Reporting Affects Bullying Victimization Estimates: A Data-Adjusted Replication Study in 29 Low- and

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Inconsistent reporting significantly biases bullying victimization prevalence estimates. Excluding these reports reduced prevalence by an average of 13.5%, highlighting the need for systematic data correction.

Keywords:
GSHSbullying victimizationinconsistent reportingprevalenceresearch bias

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Area of Science:

  • Social Sciences
  • Psychology
  • Public Health

Background:

  • Inconsistent reporting is a common issue in research, potentially skewing findings.
  • This study addresses the underestimation of inconsistent reporting's impact on bullying victimization data.

Purpose of the Study:

  • To assess how inconsistent reporting affects bullying victimization prevalence estimates.
  • To quantify the bias introduced by inconsistent responses in adolescent surveys.

Main Methods:

  • Analysis of data from 191,228 adolescents aged 12-15 years across 29 countries.
  • Definition of inconsistent reporting based on contradictory answers to bullying victimization items.
  • Comparison of unadjusted (all reports) and adjusted (inconsistent reports excluded) prevalence estimates.

Main Results:

  • A mean of 7.4% of reporters exhibited inconsistency.
  • Excluding inconsistent reports reduced bullying victimization prevalence by an average of 13.5%.
  • Adjusted estimates fell outside unadjusted confidence intervals in approximately two-thirds of cases.

Conclusions:

  • Inconsistent reporting substantially biases bullying victimization prevalence.
  • Systematic methods to address inconsistent reporting are crucial for accurate research.
  • Findings underscore the importance of data quality in epidemiological studies.