General Intelligence

By Benjamin Bartlett. 1844

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Citations in the corpus

High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes (2019, methodology): “[18] Han Liu, Fang Han, Ming Yuan, John Lafferty, Larry Wasserman, et al.”
The Study of Character Development: Towards Tests of a Relational Developmental Systems Model (2015, background): “To illustrate, one might posit that character at a given age level is structured as a global construct as a sort of characterological “g” factor [Spearman, 1904] and, if so, one would then also need to decide what manifest variables were indicators of the construct.”
A Tutorial on Bayesian Nonparametric Models (2011, methodology): “These models have a long history in psychology and psychometrics (Pearson, 1901; Thurstone, 1931), and one of their first applications was to modeling human intelligence (Spearman, 1904).”
Education and Cognitive Functioning Across the Life Span (2020, methodology): “All cognitive abilities, both fluid and crystallized, are moderately correlated with one another (Spearman, 1904).”
Extending psychometric network analysis: Empirical evidence against g in favor of mutualism? (2019, methodology): “The first factor analysis, for instance, was carried out on scholastic achievement data and concerned an investigation of the correlational structure among individual differences in subjects as varied as Classics, French, English, Math, Pitch, and Music (Spearman, 1904).”
Stochastic variational inference (2012, methodology): “…probit classiﬁcation models (McCullagh and Nelder, 1989; Girolami and Rogers, 2006), probabilistic factor analysis/matrix factorization models (Spearman, 1904; Tipping and Bishop, 1999; Collins et al., 2002; Wang, 2006; Salakhutdinov and Mnih, 2008; Paisley and Carin, 2009; Hoffman et al.,…”
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research (2020, background): “The reflective measurement model – also known as the common factor model – is grounded in the true score theory [65].”
The cognitive underpinnings of creative thought: A latent variable analysis exploring the roles of intelligence and working memory in three creative thinking processes (2013, background): “Other empirical studies showed moderate relationships between creativity and intelligence measures, suggesting that intelligence and creativity are separate constructs with overlapping features (e.g., Cox, 1926; MacKinnon, 1965; Osborn, 1953; Spearman, 1904).”
Artificial intelligence and big data in entrepreneurship: a new era has begun (2019, background): “Hence, successful entrepreneurship might not be “a story about intelligence in the traditional sense” (e.g., general human intelligence; Spearman 1904) but rather about certain facets of intelligence that help entrepreneurs in their analytic, creative, and practical capacities.”
Meta-learning of Sequential Strategies (2019, background): “Generality is at the heart of IQ tests [Spearman, 1904, Raven, 1936, Urbina, 2011] and the measure of intelligence suggested by Legg and Hutter [2007].”
Measuring universal intelligence: Towards an anytime intelligence test (2010, background): “Psychometric tests have a long history [14]; they are effective, easy to administer, fast, and quite stable when used on the same (human) individual over time.”