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Structural validity of CLASS K-3 in primary grades: Testing alternative models.

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Summary
This summary is machine-generated.

This study validated the Classroom Assessment Scoring System (CLASS) for K-3 grades. A modified 3-factor model best fit the data, confirming its internal structure for early education assessment.

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Area of Science:

  • Educational Psychology
  • Classroom Assessment
  • Measurement and Psychometrics

Background:

  • The Classroom Assessment Scoring System (CLASS) is a widely used tool for evaluating teacher-student interactions.
  • Understanding the internal structure of assessment tools like CLASS is crucial for ensuring their validity and reliability.
  • Previous research has established a 3-factor model for CLASS K-3, but further examination is warranted.

Purpose of the Study:

  • To examine the internal structure of the Classroom Assessment Scoring System (CLASS) for Kindergarten to 3rd grade.
  • To compare the fit of the original CLASS K-3 model against five alternative structural models.
  • To confirm or refine the factor structure of the CLASS K-3 instrument.

Main Methods:

  • Confirmatory factor analysis (CFA) was employed to test the proposed structural models.
  • The study utilized data from a sample of 141 first- and second-grade classrooms.
  • Multiple models, including the original 3-factor model and alternative structures, were evaluated for their fit to the observed data.

Main Results:

  • A slightly modified version of the original 3-factor CLASS K-3 model demonstrated the best fit with the collected data.
  • Stable findings regarding the presence of 3 latent domains were consistent with previous research.
  • Some variability in structural models (bifactor and 3-factor) was observed across different grade levels.

Conclusions:

  • The findings support a robust 3-factor structure for the CLASS K-3, with minor modifications enhancing model fit.
  • The study confirms the internal structure of the CLASS K-3, reinforcing its utility in early education settings.
  • While the 3-domain structure is stable, acknowledging grade-level variations in specific model configurations is important for nuanced application.