Creativity in Older Adults
Elucidating the Interactions between Cognitive Functions Underlying Creativity and the Role of Demographic Variables
Bibliographic Data
| ID | 21345266 |
|---|---|
| Authors | Stephanie Alcock (0000-0002-9655-0909, University of the Witwatersrand, corresponding author), Aline Ferreira-Correia (0000-0003-2495-3159, University of the Witwatersrand), Kate Cockcroft (0000-0002-6166-8050, University of the Witwatersrand) |
| Year | 2023 |
| Volume | 57 |
| Issue | 4 |
| Pages | 761-782 |
| Publication date | 2023-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Journal of Creative Behavior (JOURNAL) |
| Journal identifiers | ISSN: 0022-0175 • E-ISSN: 2162-6057 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/jocb.614 |
| OpenAlex | W4387574560 |
| Language | EN |
| References cited | 123 |
Creativity involves generating novel and valuable ideas. While the importance of creative thinking is widely acknowledged, its cognitive basis is poorly understood, particularly in older adults. This study aimed to develop and test an explanatory model of creative thinking to elucidate its underlying cognitive functions in an elderly sample. The role of demographic variables, including age, multilingualism, socioeconomic status (SES), level of education, and gender in creative thinking was also investigated. One hundred and twenty‐five participants aged 65 years and above‐completed measures of divergent, convergent and associative thinking, as well as task‐switching, inhibition and fluid intelligence. Structural equation modeling (SEM) analyzed the relationships between these cognitive functions, and group differences assessed whether there were significant differences in the cognitive measures based on the demographic variables. Creative thinking appeared to entail the cooperation between divergent and convergent thinking, which both rely on associative thinking, suggesting an associative basis of creative thinking. Creative thinking involved fluid intelligence and task‐switching, but not inhibition, recasting it as a higher‐order function. This study supports the dual‐process account of creative thinking by demonstrating an associative basis and the role of executive functions. Differences among education and SES groups occurred for most cognitive functions analyzed. These findings inform prevailing theoretical frameworks of creative thinking
Associative property · Cognition · Cognitive psychology · Convergent thinking · Creative thinking · Creativity · Developmental psychology · Divergent thinking · Magical thinking · Mathematics education · Statistical thinking · Thinking processes · Creativity in Education and Neuroscience · Mind wandering and attention · Neuroscience, Education and Cognitive Function · Psychology · Social Psychology
The nature of human intelligence
Creative Cognition
A Beginner's Guide to Structural Equation Modeling
Unity and diversity of executive functions
Intelligence, creativity, and cognitive control
Normative data for 144 compound remote associate problems
The shifting sands of creative thinking
Associative thinking at the core of creativity
Divergent Thinking as an Indicator of Creative Potential
Metacontrol of human creativity
The Lawton Instrumental Activities of Daily Living Scale
Nonconvergence, Improper Solutions, and Starting Values in Lisrel Maximum Likelihood Estimation
The associative basis of the creative process.
The Nature and Organization of Individual Differences in Executive Functions
Associative abilities underlying creativity.
The cognitive underpinnings of creative thought
The roles of associative and executive processes in creative cognition
Structural equation modelling
Clustering and switching as two components of verbal fluency
Chi‐square for model fit in confirmatory factor analysis
Are intelligence and creativity really so different?☆Fluid intelligence, executive processes, and strategy use in divergent thinking
Assessing creativity with divergent thinking tasks
Socioeconomic status and the brain
In Praise of Convergent Thinking
Should researchers use single indicators, best indicators, or multiple indicators in structural equation models?
Cutoff criteria for fit indexes in covariance structure analysis
Executive Functions
The Standard Definition of Creativity
Power analysis and determination of sample size for covariance structure modeling.
The Language Experience and Proficiency Questionnaire (Leap-Q)
Gender differences in creative potential
Keeping Creativity under Control
The Blind-Variation and Selective-Retention Theory of Creativity
Socio‐Economic Status and Creativity
A Five-Step Guide to Conducting SEM Analysis in Counseling Research
Gender, Gender Role, and Creativity
Empirically derived guidelines for effect size interpretation in social psychology
Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
Principles and Practice of Structural Equation Modeling
| Highly cited | No |
|---|