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Updated: Mar 19, 2026

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Dependability of data derived from time sampling methods with multiple observation targets.

Austin H Johnson1, Sandra M Chafouleas1, Amy M Briesch2

  • 1Department of Educational Psychology, University of Connecticut.

School Psychology Quarterly : the Official Journal of the Division of School Psychology, American Psychological Association
|June 10, 2016
PubMed
Summary
This summary is machine-generated.

Generalizability theory reveals that time-sampling methods significantly impact academic engagement ratings. Momentary and whole-interval sampling require fewer raters for dependable results compared to partial-interval sampling.

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Area of Science:

  • Educational Psychology
  • Behavioral Research Methods

Background:

  • Accurate measurement of academic engagement is crucial for educational interventions.
  • Generalizability theory provides a framework for assessing measurement error in behavioral observations.

Purpose of the Study:

  • To investigate the influence of time-sampling methodology, number of behavior targets, and raters on variance in academic engagement ratings.
  • To determine the dependability of ratings under different observational conditions.

Main Methods:

  • Applied generalizability theory to analyze ratings of elementary students' academic engagement.
  • Utilized 10 graduate raters with extensive training and experience in direct observation.
  • Employed 12 different time-sampling protocols across 5 video-recorded student behaviors.

Main Results:

  • The majority of variance in ratings was attributed to the rating occasion for momentary and whole-interval time-sampling.
  • Partial-interval recording showed large residual components, indicating significant measurement error.
  • Dependability coefficients above .80 were achieved with 1-2 raters for momentary, 2-3 raters for whole-interval, and 3-7 raters for partial-interval recording.

Conclusions:

  • Time-sampling methodology is a critical factor influencing the reliability of academic engagement measures.
  • Momentary and whole-interval recording methods are more efficient in achieving dependable ratings with fewer raters.
  • Partial-interval recording requires a larger number of raters to ensure dependable measurement of academic engagement.