A dynamical model of general intelligence: the positive manifold of intelligence by mutualism.
By H.L.J. van der Maas, Conor V. Dolan, Raoul P. P. P. Grasman, Jelte M. Wicherts, Hilde M. Huizenga, Maartje E. J. Raijmakers. Psychology Review, 2006
860 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Social Psychology
View Paper: https://www.semanticscholar.org/paper/fc6bae36978cef80d793571b850b68bc90281f36
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- Sacha Epskamp
- Eiko I. Fried
- Denny Borsboom
- Richard J. McNally
- D. Hevey
- Hudson F. Golino
- A. Cramer
- Lourens J. Waldorp
In Social Psychology
- Michael Tomasello
- Brian Hare
- J. Call
- E. Herrmann
- Sacha Epskamp
- Denny Borsboom
- D. Hevey
- Eiko I. Fried
Citations in the corpus
- The Gaussian Graphical Model in Cross-Sectional and Time-Series Data (2016, methodology): “The GGM estimates a network of partial correlation coefficients —the correlation between two variables after conditioning on all other variables in the data set (Epskamp, Borsboom, & Fried, 2017a).”
- Lack of Theory Building and Testing Impedes Progress in The Factor and Network Literature (2020, background): “This statistical equivalence relation has been known for well over a decade (Epskamp, Fried, et al., 2018; Kruis & Maris, 2016; van Bork et al., 2019; van der Maas et al., 2006), and I want to showcase an example here.”
- Network analysis: a brief overview and tutorial (2018, methodology): “Although network analysis has a long history of being applied in causal attribution research (e.g. Kelly, 1983) and social network analysis (Clifton &Webster, 2017), its broader potential for psychological science was highlighted over a decade ago by van der Maas et al. (2006).”
- Educating the Developing Mind: Towards an Overarching Paradigm (2011, background): “Interestingly, van der Maas et al. (2006) have shown that the correlations between abilities underlying g can be accounted for by the dynamic reciprocal relations between cognitive processes rather than by an underlying common cognitive or biological process or capacity.”
- State of the aRt personality research: A tutorial on network analysis of personality data in R (2015, positive): “By integrating theoretical considerations (Cramer et al., 2010), simulation models (Mõttus et al., 2013; Van der Maas et al., 2006), and flexible yet user-friendly data-analytic techniques (Epskamp et al., 2012), network approaches have potential to achieve a tighter fit between theory and data…”
- The Cognitive Differentiation-Integration Effort Hypothesis: A Synthesis between the Fitness Indicator and Life History Models of Human Intelligence (2011, background): “…to an initial strengthening of the positive manifold (integration) early on in development, which then undergoes a change in complexity as a result of specific patterns of interactions being reinforced at the expense of others (differentiation) as a function of aging (van der Maas et al., 2006).”
- Descriptive, Predictive and Explanatory Personality Research: Different Goals, Different Approaches, but a Shared Need to Move beyond the Big Few Traits (2020, background): “Regardless of this, regression coefficients alongside other findings of descriptive research can be a useful basis for narrative explanations.”
- Genetic foundations of human intelligence (2009, background): “Van der Maas et al. (2006) have demonstrated that such a conceptualization of intelligence as an emergent rather than latent trait can account just as well for the correlations among mental ability tests that we use to define g .”