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Astle DE, Bassett DS, Viding E. Understanding divergence: Placing developmental neuroscience in its dynamic context. Neurosci Biobehav Rev 2024; 157:105539. [PMID: 38211738 DOI: 10.1016/j.neubiorev.2024.105539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/13/2024]
Abstract
Neurodevelopment is not merely a process of brain maturation, but an adaptation to constraints unique to each individual and to the environments we co-create. However, our theoretical and methodological toolkits often ignore this reality. There is growing awareness that a shift is needed that allows us to study divergence of brain and behaviour across conventional categorical boundaries. However, we argue that in future our study of divergence must also incorporate the developmental dynamics that capture the emergence of those neurodevelopmental differences. This crucial step will require adjustments in study design and methodology. If our ultimate aim is to incorporate the developmental dynamics that capture how, and ultimately when, divergence takes place then we will need an analytic toolkit equal to these ambitions. We argue that the over reliance on group averages has been a conceptual dead-end with regard to the neurodevelopmental differences. This is in part because any individual differences and developmental dynamics are inevitably lost within the group average. Instead, analytic approaches which are themselves new, or simply newly applied within this context, may allow us to shift our theoretical and methodological frameworks from groups to individuals. Likewise, methods capable of modelling complex dynamic systems may allow us to understand the emergent dynamics only possible at the level of an interacting neural system.
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Affiliation(s)
- Duncan E Astle
- Department of Psychiatry, University of Cambridge, United Kingdom; MRC Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom.
| | - Dani S Bassett
- Departments of Bioengineering, Electrical & Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry, University of Pennsylvania, United States; The Santa Fe Institute, United States
| | - Essi Viding
- Psychology and Language Sciences, University College London, United Kingdom
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Robitzsch A. Estimating Local Structural Equation Models. J Intell 2023; 11:175. [PMID: 37754904 PMCID: PMC10532278 DOI: 10.3390/jintelligence11090175] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 08/16/2023] [Accepted: 08/22/2023] [Indexed: 09/28/2023] Open
Abstract
Local structural equation models (LSEM) are structural equation models that study model parameters as a function of a moderator. This article reviews and extends LSEM estimation methods and discusses the implementation in the R package sirt. In previous studies, LSEM was fitted as a sequence of models separately evaluated as each value of the moderator variables. In this article, a joint estimation approach is proposed that is a simultaneous estimation method across all moderator values and also allows some model parameters to be invariant with respect to the moderator. Moreover, sufficient details on the main estimation functions in the R package sirt are provided. The practical implementation of LSEM is demonstrated using illustrative datasets and an empirical example. Moreover, two simulation studies investigate the statistical properties of parameter estimation and significance testing in LSEM.
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Affiliation(s)
- Alexander Robitzsch
- IPN–Leibniz Institute for Science and Mathematics Education, Olshausenstraße 62, 24118 Kiel, Germany;
- Centre for International Student Assessment (ZIB), Olshausenstraße 62, 24118 Kiel, Germany
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Steger D, Weiss S, Wilhelm O. The Short Inventory of Creative Activities (S-ICA): Compiling a Short Scale Using Ant Colony Optimization. CREATIVITY RESEARCH JOURNAL 2022. [DOI: 10.1080/10400419.2022.2128574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Demetriou A, Mougi A, Spanoudis G, Makris N. Changing developmental priorities between executive functions, working memory, and reasoning in the formation of g from 6 to 12 years. INTELLIGENCE 2022. [DOI: 10.1016/j.intell.2021.101602] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Hartung J, Spormann SS, Moshagen M, Wilhelm O. Structural differences in life satisfaction in a U.S. adult sample across age. J Pers 2021; 89:1232-1251. [PMID: 34091894 DOI: 10.1111/jopy.12654] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 05/31/2021] [Accepted: 06/01/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Many studies investigating age-related mean differences in life satisfaction disregard potential differences in the structure of the life satisfaction construct. Because developmental tasks at different life stages vary and thus the salience of specific life domains (e.g., health, finances, relationships, etc.) might differ, life satisfaction might differ between age groups in its underlying structure and meaning. METHOD To address this issue, we investigated the covariance structure of life satisfaction as measured by the Satisfaction with Life Scale (SWLS) and the domains of health satisfaction and financial satisfaction with local structural equation modeling. We analyzed data from 8341 U.S. citizens between the ages of 30 and 97 who participated in the Panel Study of Income Dynamics. Furthermore, we explored the association of respondents' health and financial status with life satisfaction. RESULTS Both the SWLS and domain items were found to be invariant across age. The health and financial status accounted for small proportions of variance in overall life satisfaction and the respective domain satisfactions significantly at all ages. CONCLUSION The current analysis indicates that across the adult age range, general life satisfaction is qualitatively the same, and health and financial satisfaction are equally integrated into overall life satisfaction.
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Abstract
The goal of this study was to examine differential and correlated change in personality across the adult lifespan. Studying differential and correlated change can help understand whether intraindividual trait change trajectories deviate from the norm and how these trajectories are coupled with each other. We used data from two large longitudinal panel studies from the United States that covered a total age range of 20 to 95 years on the first measurement occasion. We used correlated factor models and bivariate latent change score models to examine the rank-order stability and correlations between change across three measurement waves covering 18 years ( N = 3250) and four measurement waves covering 12 years ( N = 4145). We examined the moderation effects of continuous age on these model parameters using local structural equation modeling. The results suggest that the test–retest correlations decrease with increasing time between measurements but are unaffected by participants’ age. We found that change processes in Extraversion, Openness, Agreeableness, and Conscientiousness were strongly related, particularly in late adulthood. Correlated change patterns were highly stable across time intervals and similar to the initial cross-sectional Big Five correlations. We discuss potential mechanisms and implications for personality development research.
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Affiliation(s)
- Gabriel Olaru
- Department of Developmental Psychology, Tilburg University, Netherlands
| | - Mathias Allemand
- Department of Psychology & URPP “Dynamics of Healthy Aging,” University of Zurich, Switzerland
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Gerwig A, Miroshnik K, Forthmann B, Benedek M, Karwowski M, Holling H. The Relationship between Intelligence and Divergent Thinking-A Meta-Analytic Update. J Intell 2021; 9:jintelligence9020023. [PMID: 33923940 PMCID: PMC8167550 DOI: 10.3390/jintelligence9020023] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 02/26/2021] [Accepted: 03/29/2021] [Indexed: 01/02/2023] Open
Abstract
This paper provides a meta-analytic update on the relationship between intelligence and divergent thinking (DT), as research on this topic has increased, and methods have diversified since Kim’s meta-analysis in 2005. A three-level meta-analysis was used to analyze 849 correlation coefficients from 112 studies with an overall N = 34,610. The overall effect showed a significant positive correlation of r = .25. This increase of the correlation as compared to Kim’s prior meta-analytic findings could be attributed to the correction of attenuation because a difference between effect sizes prior-Kim vs. post-Kim was non-significant. Different moderators such as scoring methods, instructional settings, intelligence facets, and task modality were tested together with theoretically relevant interactions between some of these factors. These moderation analyses showed that the intelligence–DT relationship can be higher (up to r = .31–.37) when employing test-like assessments coupled with be-creative instructions, and considering DT originality scores. The facet of intelligence (g vs. gf vs. gc) did not affect the correlation between intelligence and DT. Furthermore, we found two significant sample characteristics: (a) average sample age was positively associated with the intelligence–DT correlation, and (b) the intelligence–DT correlation decreased for samples with increasing percentages of females in the samples. Finally, inter-moderator correlations were checked to take potential confounding into account, and also publication bias was assessed. This meta-analysis provides a comprehensive picture of current research and possible research gaps. Theoretical implications, as well as recommendations for future research, are discussed.
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Affiliation(s)
- Anne Gerwig
- Institute of Psychology, University of Münster, 48149 Münster, Germany; (A.G.); (H.H.)
| | - Kirill Miroshnik
- Faculty of Psychology, Saint Petersburg State University, 199034 Saint Petersburg, Russia;
| | - Boris Forthmann
- Institute of Psychology in Education, University of Münster, 48149 Münster, Germany
- Correspondence:
| | - Mathias Benedek
- Institute of Psychology, University of Graz, 8010 Graz, Austria;
| | - Maciej Karwowski
- Institute of Psychology, University of Wroclaw, 50-527 Wroclaw, Poland;
| | - Heinz Holling
- Institute of Psychology, University of Münster, 48149 Münster, Germany; (A.G.); (H.H.)
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Hartung J, Bader M, Moshagen M, Wilhelm O. Age and gender differences in socially aversive (“dark”) personality traits. EUROPEAN JOURNAL OF PERSONALITY 2021. [DOI: 10.1177/0890207020988435] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.
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Affiliation(s)
- Johanna Hartung
- Institute of Psychology and Education, Ulm University, Germany
| | - Martina Bader
- Institute of Psychology and Education, Ulm University, Germany
| | - Morten Moshagen
- Institute of Psychology and Education, Ulm University, Germany
| | - Oliver Wilhelm
- Institute of Psychology and Education, Ulm University, Germany
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Weiss S, Steger D, Schroeders U, Wilhelm O. A Reappraisal of the Threshold Hypothesis of Creativity and Intelligence. J Intell 2020; 8:E38. [PMID: 33187389 PMCID: PMC7709632 DOI: 10.3390/jintelligence8040038] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 10/26/2020] [Accepted: 11/03/2020] [Indexed: 11/16/2022] Open
Abstract
Intelligence has been declared as a necessary but not sufficient condition for creativity, which was subsequently (erroneously) translated into the so-called threshold hypothesis. This hypothesis predicts a change in the correlation between creativity and intelligence at around 1.33 standard deviations above the population mean. A closer inspection of previous inconclusive results suggests that the heterogeneity is mostly due to the use of suboptimal data analytical procedures. Herein, we applied and compared three methods that allowed us to handle intelligence as a continuous variable. In more detail, we examined the threshold of the creativity-intelligence relation with (a) scatterplots and heteroscedasticity analysis, (b) segmented regression analysis, and (c) local structural equation models in two multivariate studies (N1 = 456; N2 = 438). We found no evidence for the threshold hypothesis of creativity across different analytical procedures in both studies. Given the problematic history of the threshold hypothesis and its unequivocal rejection with appropriate multivariate methods, we recommend the total abandonment of the threshold.
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Affiliation(s)
- Selina Weiss
- Institute of Psychology and Pedagogy, Ulm University, Albert-Einstein Allee 47, 89081 Ulm, Germany; (D.S.); (O.W.)
| | - Diana Steger
- Institute of Psychology and Pedagogy, Ulm University, Albert-Einstein Allee 47, 89081 Ulm, Germany; (D.S.); (O.W.)
| | - Ulrich Schroeders
- Institute of Psychology, University of Kassel, Holländische Strasse 36-38, 34127 Kassel, Germany;
| | - Oliver Wilhelm
- Institute of Psychology and Pedagogy, Ulm University, Albert-Einstein Allee 47, 89081 Ulm, Germany; (D.S.); (O.W.)
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Turtles All the Way Down: From g to Mitochondrial Functioning. J Intell 2020; 8:jintelligence8020023. [PMID: 32455826 PMCID: PMC7713011 DOI: 10.3390/jintelligence8020023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/1970] [Revised: 04/28/2020] [Accepted: 05/15/2020] [Indexed: 11/18/2022] Open
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Simpson-Kent IL, Fuhrmann D, Bathelt J, Achterberg J, Borgeest GS, Kievit RA. Neurocognitive reorganization between crystallized intelligence, fluid intelligence and white matter microstructure in two age-heterogeneous developmental cohorts. Dev Cogn Neurosci 2020; 41:100743. [PMID: 31999564 PMCID: PMC6983934 DOI: 10.1016/j.dcn.2019.100743] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 11/03/2019] [Accepted: 11/29/2019] [Indexed: 12/01/2022] Open
Abstract
Despite the reliability of intelligence measures in predicting important life outcomes such as educational achievement and mortality, the exact configuration and neural correlates of cognitive abilities remain poorly understood, especially in childhood and adolescence. Therefore, we sought to elucidate the factorial structure and neural substrates of child and adolescent intelligence using two cross-sectional, developmental samples (CALM: N = 551 (N = 165 imaging), age range: 5-18 years, NKI-Rockland: N = 337 (N = 65 imaging), age range: 6-18 years). In a preregistered analysis, we used structural equation modelling (SEM) to examine the neurocognitive architecture of individual differences in childhood and adolescent cognitive ability. In both samples, we found that cognitive ability in lower and typical-ability cohorts is best understood as two separable constructs, crystallized and fluid intelligence, which became more distinct across development, in line with the age differentiation hypothesis. Further analyses revealed that white matter microstructure, most prominently the superior longitudinal fasciculus, was strongly associated with crystallized (gc) and fluid (gf) abilities. Finally, we used SEM trees to demonstrate evidence for developmental reorganization of gc and gf and their white matter substrates such that the relationships among these factors dropped between 7-8 years before increasing around age 10. Together, our results suggest that shortly before puberty marks a pivotal phase of change in the neurocognitive architecture of intelligence.
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Affiliation(s)
- Ivan L Simpson-Kent
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK.
| | - Delia Fuhrmann
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK
| | - Joe Bathelt
- Dutch Autism & ADHD Research Center, Brain & Cognition, University of Amsterdam, 1018 WS Amsterdam, Netherlands
| | - Jascha Achterberg
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK
| | - Gesa Sophia Borgeest
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK
| | - Rogier A Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK
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Koen JD, Rugg MD. Neural Dedifferentiation in the Aging Brain. Trends Cogn Sci 2019; 23:547-559. [PMID: 31174975 DOI: 10.1016/j.tics.2019.04.012] [Citation(s) in RCA: 164] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 04/22/2019] [Accepted: 04/24/2019] [Indexed: 11/17/2022]
Abstract
Many cognitive abilities decline with age even in the absence of detectable pathology. Recent evidence indicates that age-related neural dedifferentiation, operationalized in terms of neural selectivity, may contribute to this decline. We review here work exploring the relationship between neural dedifferentiation, cognition, and age. Compelling evidence for age effects on neural selectivity comes from both non-human animal and human research. However, current data suggest that age does not moderate the observed relationships between neural dedifferentiation and cognitive performance. We propose that functionally significant variance in measures of neural dedifferentiation reflects both age-dependent and age-independent factors. We further propose that the effects of age on neural dedifferentiation do not exclusively reflect detrimental consequences of aging.
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Affiliation(s)
- Joshua D Koen
- Department of Psychology, University of Notre Dame, Notre Dame, IN 46556, USA.
| | - Michael D Rugg
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX 75235, USA
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Steger D, Schroeders U, Wilhelm O. On the dimensionality of crystallized intelligence: A smartphone-based assessment. INTELLIGENCE 2019. [DOI: 10.1016/j.intell.2018.12.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Nori R, Signore S, Bonifacci P. Creativity Style and Achievements: An Investigation on the Role of Emotional Competence, Individual Differences, and Psychometric Intelligence. Front Psychol 2018; 9:1826. [PMID: 30364111 PMCID: PMC6191484 DOI: 10.3389/fpsyg.2018.01826] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 09/07/2018] [Indexed: 11/13/2022] Open
Abstract
Psychometric and emotional intelligence are considered as two separate theoretical constructs, although each one has been found to correlate to a certain degree with measures of creativity. The aim of the present study was to analyze whether individual differences such as age and gender, together with psychometric intelligence and emotional competence (EC) predicted creativity. We selected a sample of 376 participants aged 12-88 (mean age = 30.28 years, SD = 19.09 years; 224 females) to evaluate relationships between these constructs across lifespan. Participants were administered the Kaufman Brief Intelligence Test-2, the Short Profile of EC, the Creativity Style Questionnaire Revised (CSQ-R) and the Creative Achievement Questionnaire (CAQ). T-test on gender differences evidenced that males had higher creativity achievements compared to females. A path analysis was applied to examine the relationships between the CAQ and CSQ-R scores as dependent variables and the potential predictors assessed. Results showed that CSQ-R was significantly predicted by interpersonal emotional competence and marginally by educational level (p = 0.058) and intrapersonal emotional competence (p = 0.051). On the other hand, the CAQ score was significantly predicted by gender, age, and composite IQ. Discussion is focused on possible theoretical implications.
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Affiliation(s)
- Raffaella Nori
- Department of Psychology, University of Bologna, Bologna, Italy
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