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Data analysis techniques in behavioral pediatrics: some practical advice.

G P Aylward1, S J Verhulst

  • 1Division of Developmental and Behavioral Pediatrics, Southern Illinois University School of Medicine, Springfield 62794-9230.

Journal of Developmental and Behavioral Pediatrics : JDBP
|December 1, 1991
PubMed
Summary
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Most articles in developmental and behavioral pediatrics use common statistical methods like correlations and t-tests. Understanding these techniques grants access to nearly 90% of the literature.

Area of Science:

  • Pediatrics
  • Behavioral Science
  • Biostatistics

Background:

  • A significant portion of research in developmental and behavioral pediatrics relies on statistical analysis.
  • Understanding common statistical methods is crucial for interpreting research findings in this field.

Purpose of the Study:

  • To review the statistical techniques employed in recent publications within the Journal of Developmental and Behavioral Pediatrics.
  • To assess the prevalence of various statistical methods and their appropriate usage.

Main Methods:

  • Content analysis of articles from the last three volumes of the Journal of Developmental and Behavioral Pediatrics.
  • Categorization and quantification of statistical techniques used in the selected articles.

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Main Results:

  • Correlations (27%), chi-squared tests (17%), t-tests (16%), and analysis of variance/covariance (15%) were the most frequently used statistical techniques.
  • Regression analysis was used in 13% of articles, while multivariate techniques were used in less than 5% of articles.
  • The average number of statistical techniques per article was 2.5.

Conclusions:

  • Familiarity with common statistical methods provides access to approximately 90% of articles in behavioral pediatrics and related medical literature.
  • The review highlights the prevalence of basic statistical techniques and the underutilization of more advanced multivariate methods.