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A Single-Indicator Factor Approach for Correcting Measurement Error in Time-Varying Predictors in Developmental

Kejin Lee1

  • 1Department of Education, Pusan National University, Faculty Office Building 2-#403, 2, Busandaehag-ro, 63Beon-gil, Geumjeong-gu, Busan 46241, Republic of Korea.

Behavioral Sciences (Basel, Switzerland)
|June 26, 2026
PubMed
Summary

Ignoring measurement error in composite predictors within latent growth modeling (LGM) can significantly bias results. Using the single-indicator (SI) factor approach corrects for this error, ensuring more accurate developmental inferences in research.

Keywords:
latent growth modelingsimulation studysingle-indicator factor

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