scholarly journals On the Trail of Creativity: Dimensionality of Divergent Thinking and its Relation with Cognitive Abilities, Personality, and Insight

2020 ◽  
pp. per.2288 ◽  
Author(s):  
S. Weiss ◽  
D. Steger ◽  
Y. Kaur ◽  
A. Hildebrandt ◽  
U. Schroeders ◽  
...  
Keyword(s):  
Personality Traits ◽  
Cognitive Abilities ◽  
Divergent Thinking ◽  
Fluid Intelligence ◽  
Factor Model ◽  
Future Research ◽  
Crystallized Intelligence ◽  
Measurement Models ◽  
The Relationship ◽  
Relevant Covariates

Divergent thinking (DT) is an important constituent of creativity that captures aspects of fluency and originality. The literature lacks multivariate studies that report relationships between DT and its aspects with relevant covariates, such as cognitive abilities, personality traits (e.g. openness), and insight. In two multivariate studies ( N = 152 and N = 298), we evaluate competing measurement models for a variety of DT tests and examine the relationship between DT and established cognitive abilities, personality traits, and insight. A nested factor model with a general DT and a nested originality factor described the data well. In Study 1, DT was moderately related with working memory, fluid intelligence, crystallized intelligence, and mental speed. In Study 2, we replicate these results and add insight, openness, extraversion, and honesty–humility as covariates. DT was associated with insight, extraversion, and honesty–humility, whereas crystallized intelligence mediated the relationship between openness and DT. In contrast, the nested originality factor (i.e. the specificity of originality tasks beyond other DT tasks) had low variance and was not meaningfully related with any other constructs in the nomological net. We highlight avenues for future research by discussing issues of measurement and scoring.

Investment Traits and Intelligence in Adulthood

2013 ◽  
Vol 34 (2) ◽  
pp. 82-89 ◽  
Author(s):  
Sophie von Stumm
Keyword(s):  
Individual Differences ◽  
Personality Traits ◽  
Fluid Intelligence ◽  
Need For Cognition ◽  
Openness To Experience ◽  
Intelligence Tests ◽  
Crystallized Intelligence ◽  
New Knowledge ◽  
The Relationship ◽  
Over Time

Intelligence-as-knowledge in adulthood is influenced by individual differences in intelligence-as-process (i.e., fluid intelligence) and in personality traits that determine when, where, and how people invest their intelligence over time. Here, the relationship between two investment traits (i.e., Openness to Experience and Need for Cognition), intelligence-as-process and intelligence-as-knowledge, as assessed by a battery of crystallized intelligence tests and a new knowledge measure, was examined. The results showed that (1) both investment traits were positively associated with intelligence-as-knowledge; (2) this effect was stronger for Openness to Experience than for Need for Cognition; and (3) associations between investment and intelligence-as-knowledge reduced when adjusting for intelligence-as-process but remained mostly significant.

The Impact of Different Measurement Models for Fluid and Crystallized Intelligence on the Correlation with Personality Traits

2007 ◽  
Vol 23 (2) ◽  
pp. 71-78 ◽  
Author(s):  
André Beauducel ◽  
Detlev Liepmann ◽  
Jörg Felfe ◽  
Wim Nettelnstroth
Keyword(s):  
Fluid Intelligence ◽  
Factor Model ◽  
Five Factor Model ◽  
Measurement Model ◽  
Personality Factors ◽  
Crystallized Intelligence ◽  
Measurement Models ◽  
Verbal Knowledge ◽  
The Impact ◽  
Fluid And Crystallized Intelligence

Abstract. The study investigated the relations of the five-factor model of personality with a faceted, a hierarchical, and a shortened measurement model for fluid and crystallized intelligence. The faceted model for fluid and crystallized intelligence contained a content facet comprising a verbal, a numerical, and a figural factor. The hierarchical model contained primary factors for verbal, numerical, and figural fluid intelligence and for verbal, numerical, and figural crystallized intelligence as well as second-order factors for fluid and crystallized intelligence. The shortened model contained a fluid-intelligence factor based on only figural reasoning tasks, and a crystallized-intelligence factor based on only verbal knowledge tasks. A total of 789 German participants ranging from 16 to 21 years of age completed the NEO Five Factors Inventory and the Intelligence Structure Test 2000 R. Substantial correlations of fluid intelligence with openness to experience were only found for the faceted model. No correlations of fluid and crystallized intelligence with personality factors occurred for the remaining measurement models.

A New View of the Relationship between Creativity and Intelligence

1981 ◽  
Vol 5 (4) ◽  
pp. 295-307
Author(s):  
Steven Harvey
Keyword(s):  
Cognitive Abilities ◽  
Structural Equation ◽  
Creative Thinking ◽  
Fluid Intelligence ◽  
Juvenile Justice System ◽  
Factor Model ◽  
Equation Model ◽  
General Intelligence ◽  
Age Appropriate ◽  
The Relationship

One hundred and fourteen youths involved in a juvenile justice system, half of whom were included because of potential giftedness, were administered the age appropriate Weschler Intelligence Scales and the Torrance Test of Creative Thinking to assess their cognitive abilities. The resulting multivariate data were analyzed using maximum likehood factor analysis and structural equation model to develop a factor model of intellectual and creative abilities and the relationships among them. Two high order factor and five lower level characteristics were isolated. These were defined as general intelligence and general fluency at the higher level, and crystallized and fluid intelligence, verbal and figural divergent production, along with creative energy, at the lower level. While no relationship was found between general intelligence and general fluency, the creative energy factor was found to be influenced by both of these higher order factors. This result was used in discussion related to the theory of creativity.

scholarly journals An fMRI investigation of the relations between Extraversion, internalizing psychopathology, and neural activation following reward receipt in the Human Connectome Project sample

2020 ◽  
Vol 3 ◽  
Author(s):  
Courtland S. Hyatt ◽  
Emily S. Hallowell ◽  
Max M. Owens ◽  
Brandon M. Weiss ◽  
Lawrence H. Sweet ◽  
...  
Keyword(s):  
Personality Traits ◽  
Personality Trait ◽  
Factor Model ◽  
Five Factor Model ◽  
Effect Sizes ◽  
Levels Of Analysis ◽  
Future Research ◽  
Neural Activation ◽  
Internalizing Psychopathology ◽  
Human Connectome Project

Abstract Quantitative models of psychopathology (i.e., HiTOP) propose that personality and psychopathology are intertwined, such that the various processes that characterize personality traits may be useful in describing and predicting manifestations of psychopathology. In the current study, we used data from the Human Connectome Project (N = 1050) to investigate neural activation following receipt of a reward during an fMRI task as one shared mechanism that may be related to the personality trait Extraversion (specifically its sub-component Agentic Extraversion) and internalizing psychopathology. We also conducted exploratory analyses on the links between neural activation following reward receipt and the other Five-Factor Model personality traits, as well as separate analyses by gender. No significant relations (p < .005) were observed between any personality trait or index of psychopathology and neural activation following reward receipt, and most effect sizes were null to very small in nature (i.e., r < |.05|). We conclude by discussing the appropriate interpretation of these null findings, and provide suggestions for future research that spans psychological and neurobiological levels of analysis.

Self-Perceived Emotional Intelligence and Creative Personality

2002 ◽  
Vol 21 (4) ◽  
pp. 293-309 ◽  
Author(s):  
Uwe Wolfradt ◽  
Jörg Felfe ◽  
Torsten Köster
Keyword(s):  
Emotional Intelligence ◽  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Thinking Styles ◽  
Verbal Intelligence ◽  
Rational Form ◽  
Intelligence Scale ◽  
Perceived Emotional Intelligence ◽  
The Relationship

This study examines the relationship between self-perceived emotional intelligence (EI) measured by the Emotional Intelligence Scale (EIS) [1] and other personality measures including the five-factor-model. The EI construct has lately been re-defined as the ability to think intelligently about emotions and to use them to enhance intelligent thinking [2]. Two studies provide support that self-reported EI is mainly associated with personality traits (extraversion, agreeableness, conscientiousness, self-perceived creativity), life satisfaction and thinking styles with only a low relation to verbal intelligence. Furthermore, persons higher in the EI dimension “emotional efficacy” produced more creative performances than persons low in this domain. These findings suggest that self-reported EI cannot be considered as a rational form of intelligence so that it does qualify to fit into the framework of personality traits.

Social Support as a Mediator of the Personality-Physical Functioning Relationship in a National Sample of African Americans: A Two-Wave Longitudinal Study

2021 ◽  
pp. 009579842110379
Author(s):  
Eddie M. Clark ◽  
Lijing Ma ◽  
Beverly R. Williams ◽  
Crystal L. Park ◽  
Cheryl L. Knott ◽  
...  
Keyword(s):  
Social Support ◽  
African Americans ◽  
Personality Traits ◽  
Physical Functioning ◽  
Factor Model ◽  
Five Factor Model ◽  
Healthcare Providers ◽  
National Sample ◽  
National Probability Sample ◽  
The Relationship

The present study investigates whether social support mediates the relationship between personality traits and physical functioning among African Americans over 2.5 years. Data were collected from a national probability sample of African American adults (analytic sample N = 312). Telephone surveys included measures of the five-factor model personality traits, social support, and physical functioning. Personality traits were assessed at Time 1 (T1), and social support and physical functioning were assessed 2.5 years later at Time 2 (T2). Physical functioning was assessed using the SF-12 at T2. Results indicated that T2 social support mediated the relationship between T1 personality traits and T2 physical functioning for the traits of conscientiousness, extraversion, agreeableness, and neuroticism, but not for openness to experience. This information may be useful to healthcare providers and community members in developing strategies targeting personality traits in cultivating social support for health promotion.

scholarly journals Selected Cognitive Abilities in Elite Youth Soccer Players

2015 ◽  
Vol 49 (1) ◽  
pp. 267-276 ◽  
Author(s):  
Veronika Baláková ◽  
Petr Boschek ◽  
Lucie Skalíková
Keyword(s):  
Cognitive Abilities ◽  
Factor Model ◽  
Test System ◽  
Soccer Players ◽  
Youth Soccer ◽  
Soccer Teams ◽  
Research Findings ◽  
Raven's Standard Progressive Matrices ◽  
Year 2000 ◽  
The Relationship

Abstract The identification of talent in soccer is critical to various programs. Although many research findings have been presented, there have been only a few attempts to assess their validity. The aim of this study was to determine the relationship between talent and achievement variables in the Vienna Test System. The participants were 91 Czech soccer players, representing four youth soccer teams, who were born in the year 2000. These boys were divided into two groups according to their coaches’ assessments using a TALENT questionnaire. A two-factor model (component 1: “kinetic finesse”; component 2: “mental strength”) was designed to interpret the responses of the coaches on the questionnaire. The Vienna Test System was used to determine the level of players’ cognitive abilities. In total, the subjects performed seven tests in the following order: Raven’s Standard Progressive Matrices (SPM), a reaction test (RT), a determination test (DT), a visual pursuit test (LVT), a Corsi Block-Tapping Test (CORSI), a time/movement anticipation test (ZBA), and a peripheral perception test (PP). To analyze the relationship between talent and achievement variables within the Vienna Test System, correlation analyses were performed. The results revealed that the talented group attained significantly better results on only 1 of the 16 variables, which was ZBA2: movement anticipation - deviation of movement median (r = .217, p = .019). A comparison of the two talent components showed that component 1 (“kinetic finesse”) was a more significant factor than component 2 (“mental strength”). Although we observed statistically significant correlations, their actual significance remains questionable; thus, further research is required.

scholarly journals Computer Programming E-Learners’ Personality Traits, Self-Reported Cognitive Abilities, and Learning Motivating Factors

2021 ◽  
Vol 11 (9) ◽  
pp. 1205
Author(s):  
Aiste Dirzyte ◽  
Aivaras Vijaikis ◽  
Aidas Perminas ◽  
Romualda Rimasiute-Knabikiene ◽  
Lukas Kaminskis ◽  
...  
Keyword(s):  
Personality Traits ◽  
Visual Processing ◽  
Cognitive Abilities ◽  
Computer Programming ◽  
Social Pressure ◽  
Negative Emotionality ◽  
Future Research ◽  
Motivating Factors ◽  
Individual Attitude ◽  
The Impact

Educational systems around the world encourage students to engage in programming activities, but programming learning is one of the most challenging learning tasks. Thus, it was significant to explore the factors related to programming learning. This study aimed to identify computer programming e-learners’ personality traits, self-reported cognitive abilities and learning motivating factors in comparison with other e-learners. We applied a learning motivating factors questionnaire, the Big Five Inventory—2, and the SRMCA instruments. The sample consisted of 444 e-learners, including 189 computer programming e-learners, the mean age was 25.19 years. It was found that computer programming e-learners demonstrated significantly lower scores of extraversion, and significantly lower scores of motivating factors of individual attitude and expectation, reward and recognition, and punishment. No significant differences were found in the scores of self-reported cognitive abilities between the groups. In the group of computer programming e-learners, extraversion was a significant predictor of individual attitude and expectation; conscientiousness and extraversion were significant predictors of challenging goals; extraversion and agreeableness were significant predictors of clear direction; open-mindedness was a significant predictor of a diminished motivating factor of punishment; negative emotionality was a significant predictor of social pressure and competition; comprehension-knowledge was a significant predictor of individual attitude and expectation; fluid reasoning and comprehension-knowledge were significant predictors of challenging goals; comprehension-knowledge was a significant predictor of clear direction; and visual processing was a significant predictor of social pressure and competition. The SEM analysis demonstrated that personality traits (namely, extraversion, conscientiousness, and reverted negative emotionality) statistically significantly predict learning motivating factors (namely, individual attitude and expectation, and clear direction), but the impact of self-reported cognitive abilities in the model was negligible in both groups of participants and non-participants of e-learning based computer programming courses; χ² (34) = 51.992, p = 0.025; CFI = 0.982; TLI = 0.970; NFI = 0.950; RMSEA = 0.051 [0.019–0.078]; SRMR = 0.038. However, as this study applied self-reported measures, we strongly suggest applying neurocognitive methods in future research.

scholarly journals Structure and correlates of interpersonal problems and sensitivities

2019 ◽  
Author(s):  
Christopher James Hopwood ◽  
Evan Good
Keyword(s):  
Factor Model ◽  
Interpersonal Problems ◽  
Well Being ◽  
Future Research ◽  
Sources Of Information ◽  
Measurement Models ◽  
Two Samples ◽  
Problematic Behaviors ◽  
Interpersonal Dysfunction ◽  
Important Marker

ObjectiveInterpersonal dysfunction is an important marker of individual differences in personality and well‐being. Existing research on interpersonal dysfunction focuses primarily on the problematic behaviors of individuals without considering how sensitivity to others’ behavior impacts functioning. In this study, we test the structure and correlates of a model of relationship dysfunction that integrates the problems individuals bring to relationships with their sensitivities to others’ behavior. We specifically examine the conjoint structure of interpersonal problems and sensitivities using a circumplex framework and associations between dimensions derived from this structure and personality, well‐being, attachment, and response style variables.MethodWe evaluated competing measurement models and examined validity correlations of interpersonal problems and sensitivities in two samples (Study 1: N = 955; 79.2% women; Mage = 19.43; Study 2: N = 1,005; 72.1% women; Mage = 19.77).ResultsSix factors capturing general (nonspecific problems and sensitivities) and stylistic (warmth and dominance for both problems and sensitivities) variation in interpersonal dysfunction were empirically distinguishable and provided incremental information about external criteria.ConclusionsResults support problems and sensitivities as overlapping but distinct sources of information about interpersonal dysfunction, and they specifically suggest an integrative six‐factor model with considerable potential for future research.

scholarly journals Exploring Neural Signal Complexity as a Potential Link between Creative Thinking, Intelligence, and Cognitive Control

2021 ◽  
Vol 9 (4) ◽  
pp. 59
Author(s):  
Yadwinder Kaur ◽  
Selina Weiss ◽  
Changsong Zhou ◽  
Rico Fischer ◽  
Andrea Hildebrandt
Keyword(s):  
Cognitive Control ◽  
Creative Thinking ◽  
Divergent Thinking ◽  
Crystallized Intelligence ◽  
Multi Scale ◽  
Common Basis ◽  
Multiple Neural Networks ◽  
Potential Link ◽  
Signal Complexity ◽  
The Relationship

Functional connectivity studies have demonstrated that creative thinking builds upon an interplay of multiple neural networks involving the cognitive control system. Theoretically, cognitive control has generally been discussed as the common basis underlying the positive relationship between creative thinking and intelligence. However, the literature still lacks a detailed investigation of the association patterns between cognitive control, the factors of creative thinking as measured by divergent thinking (DT) tasks, i.e., fluency and originality, and intelligence, both fluid and crystallized. In the present study, we explored these relationships at the behavioral and the neural level, based on N = 77 young adults. We focused on brain-signal complexity (BSC), parameterized by multi-scale entropy (MSE), as measured during a verbal DT and a cognitive control task. We demonstrated that MSE is a sensitive neural indicator of originality as well as inhibition. Then, we explore the relationships between MSE and factor scores indicating DT and intelligence. In a series of across-scalp analyses, we show that the overall MSE measured during a DT task, as well as MSE measured in cognitive control states, are associated with fluency and originality at specific scalp locations, but not with fluid and crystallized intelligence. The present explorative study broadens our understanding of the relationship between creative thinking, intelligence, and cognitive control from the perspective of BSC and has the potential to inspire future BSC-related theories of creative thinking.

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