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This summary is machine-generated.

Italian academic psychologists show poor knowledge of confidence intervals and meta-analysis displays, despite increased use of effect size statistics. Improving statistical training is crucial for better research practices.

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Area of Science:

  • Psychology
  • Statistics

Background:

  • Growing criticism of null hypothesis significance testing (NHST) favors robust statistical practices like effect size (ES) statistics, confidence intervals (CIs), and meta-analyses.
  • Previous research in Spain indicated limited understanding of ES, CIs, and meta-analysis graphics among academic psychologists, potentially leading to misinterpretation.
  • While ES use is increasing, CIs remain underutilized, and higher ES knowledge correlates with better statistical practice.

Purpose of the Study:

  • To replicate a prior study on statistical knowledge and practices among academic psychologists in a different geographical region (Italy).
  • To assess Italian academics' knowledge and application of effect size statistics, confidence intervals, and meta-analyses.
  • To examine the relationship between statistical knowledge and adherence to good statistical practices.

Main Methods:

  • An online survey, mirroring a previous Spanish study, was administered to 159 Italian academic psychologists.
  • Participants reported their knowledge and usage of effect size statistics, confidence intervals, and meta-analyses.
  • Data included demographics and years of academic experience.

Main Results:

  • Effect size estimates are increasingly used, but confidence intervals for ES remain under-reported.
  • Commonly cited ES statistics (Cohen's d, R²/η²) may present issues with outliers, non-normality, or assumption violations.
  • Knowledge of meta-analytic displays (e.g., forest plots) and quality checklists is notably poor.
  • Higher knowledge of ES statistics is associated with better overall statistical practices.

Conclusions:

  • The findings replicate previous concerns regarding statistical knowledge gaps in academic psychology, extending them to Italy.
  • Despite increased ES adoption, critical statistical tools like CIs and meta-analysis interpretation skills require significant improvement.
  • Implementing comprehensive statistical training programs at both graduate and undergraduate levels is essential to foster better research design and practices.