ArticleInternational journal of behavioral development2018
Latent State-Trait Modeling: A New Tool to Refine Temperament Methodology.
Article in International journal of behavioral development, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- A preliminary investigation of epigenome-wide DNA methylation and temperament during infancy.Developmental psychobiology · 2024Article
- The effect of maternal depression on mental representations and child negative affect.Journal of affective disorders · 2020Article
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Authors and funding
2 authors.
Funding
Abstract
Questions concerning longitudinal stability and multi-method consistency are critical to temperament research. Latent State-Trait (LST) analyses address these directly, and were utilized in this study. Thus, our primary objective was to apply LST analyses in a temperament context, using longitudinal and multi-method data to determine the amount of trait vs. state variance, as well as convergence for measures of Distress to Limitations (DL) facets. Mothers' ratings and independent observations of DL behaviors collected on two occasions (8 months old and 12 months old) for 148 infants (49.2% female) were utilized. Single source latent state-trait (LST) analyses indicated that parent ratings of DL behavior (PDL) contained more trait (
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