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Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies
Research article (Statistical Methods in Medical Research, 2017) · cited 17× · AI/ML
Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies
Summary
Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies is a scholarly article[1].
Key Facts
Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies. Retrieved May 24, 2026, from https://4ort.xyz/entity/are-latent-variable-models-preferable-to-composite-score-approaches-when-assessing-risk-factors-of-change-evaluation-of-
MLA“Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/are-latent-variable-models-preferable-to-composite-score-approaches-when-assessing-risk-factors-of-change-evaluation-of-.
BibTeX@misc{4ortxyz_are-latent-variable-models-preferable-to-composite-score-approaches-when-assessing-risk-factors-of-change-evaluation-of-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies}}, year = {2026}, url = {https://4ort.xyz/entity/are-latent-variable-models-preferable-to-composite-score-approaches-when-assessing-risk-factors-of-change-evaluation-of-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies — https://4ort.xyz/entity/are-latent-variable-models-preferable-to-composite-score-approaches-when-assessing-risk-factors-of-change-evaluation-of- (retrieved 2026-05-24)
