Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures.
Sign Up to like & getrecommendations! Published in 2019 at "Psychological methods"
DOI: 10.1037/met0000184
Abstract: Researchers often mention the utility and need for R-squared measures of explained variance for multilevel models (MLMs). Although this topic has been addressed by methodologists, the MLM R-squared literature suffers from several shortcomings: (a) analytic… read more here.
Keywords: framework; explained variance; variance; variance multilevel ... See more keywords
Explained Variance and Intraclass Correlation in a Two-Level AR(1) Model
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DOI: 10.1080/00273171.2017.1299616
Abstract: ABSTRACT The total variance of a first-order autoregressive AR(1) time series is well known in time series literature. However, despite the increased use and interest in two-level AR(1) models, an equation for the total variance… read more here.
Keywords: two level; explained variance; level model; variance intraclass ... See more keywords
IDDF2019-ABS-0253 Explained variance and predictability of inflammatory bowel diseases by genetic risk score in five asian populations (results from the international IBD genetics consortium)
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DOI: 10.1136/gutjnl-2019-iddfabstracts.211
Abstract: Background In the absence of properly designed studies, the clinical implication of genetic findings in Inflammatory Bowel Disease (IBD) is a matter of persistent debate especially in Asian population where the prevalence of IBD including… read more here.
Keywords: explained variance; genetic risk; ibd; risk ... See more keywords
Principal component of explained variance: An efficient and optimal data dimension reduction framework for association studies
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280216660128
Abstract: The genomics era has led to an increase in the dimensionality of data collected in the investigation of biological questions. In this context, dimension-reduction techniques can be used to summarise high-dimensional signals into low-dimensional ones,… read more here.
Keywords: component; principal component; explained variance; dimension reduction ... See more keywords
A-B-3—Associations and dissociations of reading and arithmetic: Is domain-specific prediction outdated?
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DOI: 10.1371/journal.pone.0285437
Abstract: Reading and arithmetic are core domains of academic achievement with marked impact on career opportunities and socioeconomic status. While associations between reading and arithmetic are well established, evidence on underlying mechanisms is inconclusive. The main… read more here.
Keywords: explained variance; reading arithmetic; domain specific; associations dissociations ... See more keywords
Is psychological science progressing? Explained variance in PsycINFO articles during the period 1956 to 2022
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2022.1089089
Abstract: We aimed to numerically assess the progress of modern psychological science. Average explained variance in 1565 included articles was 42.8 percent, and this was constant during 1956 to 2022. We explored whether this could be… read more here.
Keywords: explained variance; psychological science; 1956 2022; variance ... See more keywords