ArticleFrontiers in psychology2018
Precision, Reliability, and Effect Size of Slope Variance in Latent Growth Curve Models: Implications for Statistical Power Analysis.
Article in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Coupled cognitive changes in adulthood: A meta-analysis.Psychological bulletin · 2019Pooled it
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- Improving statistical reporting in psychology.Communications psychology · 2025Review
- 10-year longitudinal dopamine D2-receptor losses are associated with cognitive decline in healthy aging.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Measurement characteristics and genome-wide correlates of lifetime brain atrophy estimated from a single MRI.Nature communications · 2025Article
- Multi-voxel pattern analysis for developmental cognitive neuroscientists.Developmental cognitive neuroscience · 2025Review
- Reliability of structural brain change in cognitively healthy adult samples.bioRxiv : the preprint server for biology · 2025Article
- Association Between Sleep Quality and Self-Efficacy Trajectories Among Pregnant Women: A Parallel Process Latent Growth Curve Model.Nature and science of sleep · 2025Article
- Reliability of structural brain change in cognitively healthy adult samples.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Estimating statistical power for structural equation models in developmental cognitive science: A tutorial in R : Power simulation for SEMs.Behavior research methods · 2024Article
- Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) trees.Behavior research methods · 2024Article
- The longitudinal relations between mental state talk and theory of mind.BMC psychology · 2024Article
- Unraveling individual differences in learning potential: A dynamic framework for the case of reading development.Developmental cognitive neuroscience · 2024Review
- Article
- Differential Longitudinal Associations Between Domains of Cognitive Function and Physical Function: A 20-Year Follow-Up Study.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024Article
- Longitudinal stability of cortical grey matter measures varies across brain regions, imaging metrics, and testing sites in the ABCD study.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- The integrity of dopaminergic and noradrenergic brain regions is associated with different aspects of late-life memory performance.Nature aging · 2023Article
- Regression-Equivalent Effect Sizes for Latent Growth Modeling and Associated Null Hypothesis Significance Tests.Structural equation modeling : a multidisciplinary journal · 2023Article
- Development of Mothers' Health Literacy: Findings From the KUNO-Kids Study.Health literacy research and practice · 2023Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Latent Growth Curve Models (LGCM) have become a standard technique to model change over time. Prediction and explanation of inter-individual differences in change are major goals in lifespan research. The major determinants of statistical power to detect individual differences in change are the magnitude of true inter-individual differences in linear change (LGCM slope variance), design precision, alpha level, and sample size. Here, we show that design precision can be expressed as the inverse of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.