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  1. Toward a Causal Interpretation of the Common Factor Model.Mijke Rhemtulla, Lisa D. Wijsen & Riet Van Bork - 2017 - Disputatio 9 (47):581-601.
    Psychological constructs such as personality dimensions or cognitive traits are typically unobserved and are therefore measured by observing so-called indicators of the latent construct. The Common Factor Model models the relations between the observed indicators and the latent variable. In this article we argue in favor of interpreting the CFM as a causal model rather than merely a statistical model, in which common factors are only descriptions of the indicators. When there is sufficient reason to hypothesize that the underlying causal (...)
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  • The Predictive Value of Children's Understanding of Indeterminacy and Confounding for Later Mastery of the Control-of-Variables Strategy.Sonja Peteranderl & Peter A. Edelsbrunner - 2020 - Frontiers in Psychology 11.
    Prior research has identified age 9–11 as a critical period for the development of the control-of-variables strategy (CVS). We examine the stability of interindividual differences in children's CVS skills with regard to their precursor skills during this critical developmental period. To this end, we relate two precursor skills of CVS at age 9 to four skills constituting fully developed CVS more than 2 years later, controlling for children's more general cognitive development. Note thatN= 170 second- to fourth-graders worked on multiple (...)
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  • Theories of Independent Intelligences as a Lakatosian Research Program.Jonathan Egeland - 2022 - Philosophia 50 (5):2441-2456.
    Theories of different and independent types of intelligence constitute a Lakatosian research program, as they all claim that human intelligence has a multidimensional structure, consisting of independent cognitive abilities, and that human intelligence is not characterized by any general ability that is of greater practical importance, or that has greater predictive validity, than other, more specialized cognitive abilities. This paper argues that the independent intelligences research program is degenerating, since it has not led to novel, empirically corroborated predictions. However, despite (...)
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  • The missing developmental dimension in the network perspective.Sam Wass & Annette Karmiloff-Smith - 2010 - Behavioral and Brain Sciences 33 (2-3):175-176.
    We welcome network theory as a tool for modelling the multi-directional interactions that characterise disease. However, we feel that Cramer et al. have neglected one important aspect: how diseases change over developmental time. We discuss principles such as fan in, fan out, bottlenecks, and common pathways, and argue that modelling these developmental aspects can be vital, particularly in deriving properly targeted treatments.
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  • Networks as complex dynamic systems: Applications to clinical and developmental psychology and psychopathology.Paul Lc van Geert & Henderien W. Steenbeek - 2010 - Behavioral and Brain Sciences 33 (2-3):174 - 175.
    Cramer et al.'s article is an example of the fruitful application of complex dynamic systems theory. We extend their approach with examples from our own work on development and developmental psychopathology and address three issues: (1) the level of aggregation of the network, (2) the required research methodology, and (3) the clinical and educational application of dynamic network thinking.
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  • Consequences of a network view for genetic association studies.Sophie van der Sluis, Kees-Jan Kan & Conor V. Dolan - 2010 - Behavioral and Brain Sciences 33 (2-3):173-174.
    Cramer et al's proposal to view mental disorders as the outcome of network dynamics among symptoms obviates the need to invoke latent traits to explain co-occurrence of symptoms and syndromes. This commentary considers the consequences of such a network view for genetic association studies.
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  • Affluence boosted intelligence? How the interaction between cognition and environment may have produced an eighteenth-century Flynn effect during the Industrial Revolution.Max van der Linden & Denny Borsboom - 2019 - Behavioral and Brain Sciences 42.
    Cognition played a pivotal role in the acceleration of technological innovation during the Industrial Revolution. Growing affluence may have provided favourable environmental conditions for a boost in cognition, enabling individuals to tackle more complex problems. Dynamical systems thinking may provide useful tools to describe sudden transitions like the Industrial Revolution, by modelling the recursive feedback between psychology and environment.
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  • General intelligence does not help us understand cognitive evolution.David M. Shuker, Louise Barrett, Thomas E. Dickins, Thom C. Scott-Phillips & Robert A. Barton - 2017 - Behavioral and Brain Sciences 40.
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  • A Non-cognitive Behavioral Model for Interpreting Functional Neuroimaging Studies.Robert G. Shulman & Douglas L. Rothman - 2019 - Frontiers in Human Neuroscience 13.
  • What kind of kind is intelligence?Serpico Davide - 2018 - Philosophical Psychology 31 (2):232-252.
    The model of human intelligence that is most widely adopted derives from psychometrics and behavioral genetics. This standard approach conceives intelligence as a general cognitive ability that is genetically highly heritable and describable using quantitative traits analysis. The paper analyzes intelligence within the debate on natural kinds and contends that the general intelligence conceptualization does not carve psychological nature at its joints. Moreover, I argue that this model assumes an essentialist perspective. As an alternative, I consider an HPC theory of (...)
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  • Beyond quantitative and qualitative traits: three telling cases in the life sciences.Davide Serpico - 2020 - Biology and Philosophy 35 (3):1-26.
    This paper challenges the common assumption that some phenotypic traits are quantitative while others are qualitative. The distinction between these two kinds of traits is widely influential in biological and biomedical research as well as in scientific education and communication. This is probably due to both historical and epistemological reasons. However, the quantitative/qualitative distinction involves a variety of simplifications on the genetic causes of phenotypic variability and on the development of complex traits. Here, I examine three cases from the life (...)
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  • A Complex Network Framework to Model Cognition: Unveiling Correlation Structures from Connectivity.Gemma Rosell-Tarragó, Emanuele Cozzo & Albert Díaz-Guilera - 2018 - Complexity 2018:1-19.
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  • General intelligence is an emerging property, not an evolutionary puzzle.Franck Ramus - 2017 - Behavioral and Brain Sciences 40.
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  • Network Analysis of Competitive State Anxiety.Richard Mullen & Eleri Sian Jones - 2021 - Frontiers in Psychology 11.
    Competitive state anxiety is an integral feature of sports performance but despite its pervasiveness, there is still much debate concerning the measurement of the construct. Adopting a network approach that conceptualizes symptoms of a construct as paired associations, we proposed re-examining competitive state anxiety as a system of interacting components in a dataset of 485 competitive athletes from the United Kingdom. Following a process of data reduction, we estimated a network structure for 15 items from the modified Three Factor Anxiety (...)
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  • Knowledge Is Power for Medical Assistants: Crystallized and Fluid Intelligence As Predictors of Vocational Knowledge.Anne Moehring, Ulrich Schroeders & Oliver Wilhelm - 2018 - Frontiers in Psychology 9.
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  • Expanding Network Analysis Tools in Psychological Networks: Minimal Spanning Trees, Participation Coefficients, and Motif Analysis Applied to a Network of 26 Psychological Attributes.Srebrenka Letina, Tessa F. Blanken, Marie K. Deserno & Denny Borsboom - 2019 - Complexity 2019:1-27.
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  • The evolution of fluid intelligence meets formative g.Kristof Kovacs & Andrew R. A. Conway - 2017 - Behavioral and Brain Sciences 40.
  • Understanding the Multidimensional Nature of Student Engagement During the First Year of Higher Education.Vesa Korhonen, Markus Mattsson, Mikko Inkinen & Auli Toom - 2019 - Frontiers in Psychology 10.
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  • The epidemiology of cognitive development.Ava Guez, Hugo Peyre, Camille Williams, Ghislaine Labouret & Franck Ramus - 2021 - Cognition 213 (C):104690.
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  • Statistical models as cognitive models of individual differences in reasoning.Andrew J. B. Fugard & Keith Stenning - 2013 - Argument and Computation 4 (1):89 - 102.
    (2013). Statistical models as cognitive models of individual differences in reasoning. Argument & Computation: Vol. 4, Formal Models of Reasoning in Cognitive Psychology, pp. 89-102. doi: 10.1080/19462166.2012.674061.
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  • Calibrating the Test of Relational Reasoning: New Information From Oblique Bifactor Models.Denis Federiakin - 2020 - Frontiers in Psychology 11.
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  • A model and its fit lie in the eye of the beholder: Long live the sum score.Peter Adriaan Edelsbrunner - 2022 - Frontiers in Psychology 13.
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  • Unpacking Constructs: A Network Approach for Studying War Exposure, Daily Stressors and Post-Traumatic Stress Disorder.Maarten De Schryver, Sofie Vindevogel, Andrew E. Rasmussen & Angélique O. J. Cramer - 2015 - Frontiers in Psychology 6.
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  • The Development of Talent in Sports: A Dynamic Network Approach.Ruud J. R. Den Hartigh, Yannick Hill & Paul L. C. Van Geert - 2018 - Complexity 2018:1-13.
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  • A Dynamic Network Model to Explain the Development of Excellent Human Performance.Ruud J. R. Den Hartigh, Marijn W. G. Van Dijk, Henderien W. Steenbeek & Paul L. C. Van Geert - 2016 - Frontiers in Psychology 7.
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  • g as bridge model.Devin Sanchez Curry - 2021 - Philosophy of Science 88 (5):1067-1078.
    Psychometric g—a statistical factor capturing intercorrelations between scores on different IQ tests—is of theoretical interest despite being a low-fidelity model of both folk psychological intelligence and its cognitive/neural underpinnings. Psychometric g idealizes away from those aspects of cognitive/neural mechanisms that are not explanatory of the relevant variety of folk psychological intelligence, and it idealizes away from those varieties of folk psychological intelligence that are not generated by the relevant cognitive/neural substrate. In this manner, g constitutes a high-fidelity bridge model of (...)
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  • Complex realities require complex theories: Refining and extending the network approach to mental disorders.Angélique Oj Cramer, Lourens J. Waldorp, Han Lj van der Maas & Denny Borsboom - 2010 - Behavioral and Brain Sciences 33 (2-3):178-193.
    The majority of commentators agree on one thing: Our network approach might be the prime candidate for offering a new perspective on the origins of mental disorders. In our response, we elaborate on refinements (e.g., cognitive and genetic levels) and extensions (e.g., to Axis II disorders) of the network model, as well as discuss ways to test its validity.
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  • Comorbidity: A network perspective.Angélique Oj Cramer, Lourens J. Waldorp, Han Lj van der Maas & Denny Borsboom - 2010 - Behavioral and Brain Sciences 33 (2-3):137-150.
    The pivotal problem of comorbidity research lies in the psychometric foundation it rests on, that is, latent variable theory, in which a mental disorder is viewed as a latent variable that causes a constellation of symptoms. From this perspective, comorbidity is a (bi)directional relationship between multiple latent variables. We argue that such a latent variable perspective encounters serious problems in the study of comorbidity, and offer a radically different conceptualization in terms of a network approach, where comorbidity is hypothesized to (...)
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  • The evolution of general intelligence.Judith M. Burkart, Michèle N. Schubiger & Carel P. van Schaik - 2017 - Behavioral and Brain Sciences 40.
    The presence of general intelligence poses a major evolutionary puzzle, which has led to increased interest in its presence in nonhuman animals. The aim of this review is to critically evaluate this question and to explore the implications for current theories about the evolution of cognition. We first review domain-general and domain-specific accounts of human cognition in order to situate attempts to identify general intelligence in nonhuman animals. Recent studies are consistent with the presence of general intelligence in mammals. However, (...)
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  • Future directions for studying the evolution of general intelligence.Judith M. Burkart, Michèle N. Schubiger & Carel P. van Schaik - 2017 - Behavioral and Brain Sciences 40.
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  • Brain disorders? Not really: Why network structures block reductionism in psychopathology research.Denny Borsboom, Angélique O. J. Cramer & Annemarie Kalis - 2019 - Behavioral and Brain Sciences 42:1-54.
    In the past decades, reductionism has dominated both research directions and funding policies in clinical psychology and psychiatry. The intense search for the biological basis of mental disorders, however, has not resulted in conclusive reductionist explanations of psychopathology. Recently, network models have been proposed as an alternative framework for the analysis of mental disorders, in which mental disorders arise from the causal interplay between symptoms. In this target article, we show that this conceptualization can help explain why reductionist approaches in (...)
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  • Epistemic Diversity and Editor Decisions: A Statistical Matthew Effect.Remco Heesen & Jan-Willem Romeijn - 2019 - Philosophers' Imprint 19.
    This paper offers a new angle on the common idea that the process of science does not support epistemic diversity. Under minimal assumptions on the nature of journal editing, we prove that editorial procedures, even when impartial in themselves, disadvantage less prominent research programs. This purely statistical bias in article selection further skews existing differences in the success rate and hence attractiveness of research programs, and exacerbates the reputation difference between the programs. After a discussion of the modeling assumptions, the (...)
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  • Psychopathy: Morally Incapacitated Persons.Heidi Maibom - 2017 - In Thomas Schramme & Steven Edwards (eds.), Handbook of the Philosophy of Medicine. Dordrecht: Springer. pp. 1109-1129.
    After describing the disorder of psychopathy, I examine the theories and the evidence concerning the psychopaths’ deficient moral capacities. I first examine whether or not psychopaths can pass tests of moral knowledge. Most of the evidence suggests that they can. If there is a lack of moral understanding, then it has to be due to an incapacity that affects not their declarative knowledge of moral norms, but their deeper understanding of them. I then examine two suggestions: it is their deficient (...)
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  • Comparative psychometrics: establishing what differs is central to understanding what evolves.Christoph J. Völter, Brandon Tinklenberg, Amanda Seed & Josep Call - 2018 - Philosophical Transactions of the Royal Society B 373 (20170283).
    Cognitive abilities cannot be measured directly. What we can measure is individual variation in task performance. In this paper, we first make the case for why we should be interested in mapping individual differences in task performance on to particular cognitive abilities: we suggest that it is crucial for examining the causes and consequences of variation both within and between species. As a case study, we examine whether multiple measures of inhibitory control for non-human animals do indeed produce correlated task (...)
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