Evidence map›Paper›PMID 39330464›Full record

ArticleJournal of Intelligence2024

Flexible Regulation of Positive and Negative Emotion Expression: Reexamining the Factor Structure of the Flexible Regulation of Emotional Expression Scale (FREE) Based on Emotion Valence.

Yanhua Zhao, Ping Wang

Abstract read
In one paragraph

Article in Journal of Intelligence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Yanhua ZhaoSchool of Psychology, Henan University, Jinming Campus, Kaifeng 475001, China.ORCID 0000-0003-2993-4766
Ping WangCenter for Teacher Education, School of Education Sciences, Henan University, Jinming Campus, Kaifeng 475001, China.

Funding

Henan Provincial Philosophy and Social Science Planning Office 2021BJY010National Natural Science Foundation of China 72104070
6 · The paper itself

Abstract

The Flexible Regulation of Emotional Expression (FREE) Scale assesses individuals' ability to enhance and suppress their emotional expressions across different situations. This study investigates the optimal factor structure of the FREE and emphasizes the importance of distinguishing between the regulation abilities for positive and negative expressions. A sample of 607 undergraduates (Mage = 19.02, SD = 1.02, 72.2% female) from Mainland China completed the questionnaire survey. Confirmatory factor analyses tested eight competing models of the FREE structure. Results indicated that the second-order model, featuring two higher-order factors (expressive enhancement and suppression abilities), fit the data well. An alternative second-order model, with two different higher-order factors (positive and negative emotion expressive abilities) and the same four first-order factors, demonstrated an even better fit. Various types of expressive ability scores showed predictive validity regarding emotion regulation self-efficacy, mental health outcomes, and relationship stress. Regulation of emotional expression can be represented by either regulation type or emotion valence, with the latter providing more informative insights. Flexible regulation of positive and negative emotion expression predicted fewer symptoms of depression, anxiety, stress, and relationship stress beyond emotion regulation self-efficacy. These findings highlight the importance of considering emotional valence in understanding flexibility in expression regulation.

Indexed as

enhancementexpression regulationflexibilitymental healthpositive and negative emotionsrelationship stresssuppression

Identifiers

PMID39330464
PMCPMC11432936

What OpenQuestion holds

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Registered trials

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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.