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Related Experiment Video

Updated: Jun 9, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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Structures of multivariables affecting literacy: Cluster analysis.

Remziye Akarsu1, Gonca Bumin2, Yusuf Celik3

  • 1Deparment of Occupational Therapy, Faculty of Health Sciences, Biruni University, İstanbul, Turkey.

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Summary

This study explored early literacy skills in preschoolers, identifying key factors through hierarchical cluster analysis. Findings reveal distinct clusters of variables influencing literacy development, aiding future research design.

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Area of Science:

  • Child Development
  • Educational Psychology
  • Linguistics

Background:

  • Early literacy skills are foundational for academic success.
  • Holistic examination of these skills in preschoolers is crucial.
  • Understanding influencing variables aids targeted interventions.

Purpose of the Study:

  • Investigate early literacy skills in preschool children.
  • Determine variable clustering related to literacy development using dendrograms.
  • Reduce multivariate complexity for clearer insights.

Main Methods:

  • Conducted hierarchical cluster analysis (CA) on 166 preschoolers.
  • Analyzed 44 variables including sociodemographic, child-parent, behavioral, and skill-based factors.
  • Utilized dendrograms to visualize variable relationships.

Main Results:

  • Identified variable clustering trends in early literacy development.
  • Reduced 44 variables into two main clusters and six sub-clusters.
  • Demonstrated the utility of CA in simplifying complex datasets.

Conclusions:

  • The study highlights the interconnectedness of factors influencing early literacy.
  • Recommends considering identified variable relationships in future literacy research.
  • Emphasizes the value of multivariate analysis for understanding complex developmental domains.