Evidence map›Paper›PMID 40822631›Full record

ArticlePsychology in Russia : state of the art2025

Intelligence Types Predict Different Domains of Emotional Creativity Through Self-Assessed Creativity and Intelligence.

Tatiana V Kornilova, Maria A Chumakova, Lydia B Maksarova

Abstract read
In one paragraph

Article in Psychology in Russia : state of the art, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tatiana V KornilovaLomonosov Moscow State University, Russia.
Maria A ChumakovaNational Research University 'Higher School of Economics', Moscow, Russia.
Lydia B MaksarovaLomonosov Moscow State University, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study is based on the idea of unity between affect and intelligence. It explores how different types of intelligence (fluid, verbal, self-assessed, and emotional) contribute to emotional creativity and implicit theories of creativity and emotion. Objective: To identify the contributions of various types of intelligence to emotional creativity and the implicit theories of creativity and emotion. Design: Linear regression and mediation analyses were conducted on a sample of 244 students. These analyses aimed to uncover the relationships between different types of intelligence, emotional creativity, and related components of self-awareness (at the levels of self-assessment and implicit theories). Results: The findings demonstrated the intricate connections between various forms of intelligence-fluid, crystallized, emotional, emotional creativity, and self-awareness components such as self-assessment of intelligence and creativity. Specifically, the impact of intelligence on emotional intelligence traits and emotional creativity was mediated by measures of self-esteem in intelligence and creativity. To test specific hypotheses, we conducted a series of regression analyses and developed two structural models. The first model included linear regression equations with each emotional creativity (EC) scale as the dependent variable and both types of intelligence, as well as self-assessments - SAI and SAC - as predictors. The second model demonstrated the mediation effect of implicit theories of emotions (ITE) in the influence of emotional intelligence (EI) on emotional creativity. Conclusion: This study highlights the complexity of the interplay between different types of intelligence and emotional creativity. It reveals the mediating role of self-esteem in these relationships and underscores the distinct nature of emotional creativity domains. Additionally, it establishes the link between implicit theories of emotions and creativity, with emotional intelligence and self-esteem, offering valuable insights for further research.

Indexed as

ECIemotional creativityemotional intelligenceimplicit theoriesintelligenceself-assessed creativityself-assessed intelligenceTEIQue-SF

Identifiers

PMID40822631
PMCPMC12352355

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.