Evidence map›Paper›PMID 41334078›Full record

ArticleFrontiers in psychiatry2025

The anatomy of rage: conceptualization, operationalization, and validation of a new measurement scale.

Natalia Michałkiewicz, Paweł Strojny, Agnieszka Strojny

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Natalia MichałkiewiczDoctoral School in the Social Sciences, Jagiellonian University, Kraków, Poland.
Paweł StrojnyInstitute of Applied Psychology, Faculty of Management and Social Communication, Jagiellonian University, Kraków, Poland.
Agnieszka StrojnyInstitute of Applied Psychology, Faculty of Management and Social Communication, Jagiellonian University, Kraków, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite its prevalence among gamers, rage remains an understudied phenomenon in digital gaming. The present study aimed to conceptualize rage as an emotional response to in-game failure or frustration and to develop a reliable and valid self-report instrument to measure this experience. Methods: The study was conducted in two phases. In the first, theoretical and qualitative phase, a focus group and expert assessment procedure were used to define the construct of rage in gaming and develop initial items. In the second, empirical phase, an international sample of 267 participants (126 females, 124 males, 17 identifying as other; aged 18-52) completed an online survey. Exploratory and confirmatory factor analyses were conducted alongside reliability testing and correlational analyses with related psychological constructs (DERS-SF, IGDS9-SF, BAQ, PHQ-9, GAD-7). Results: Factor analyses resulted in an 11-item scale with a three-factor structure: Emotion, Cognition, and Arousal. The scale demonstrated good psychometric properties, including satisfactory reliability and model fit. Correlations with related constructs indicated significant associations between rage, gaming disorder symptoms, and emotional dysregulation, suggesting that gaming rage is linked to maladaptive emotional and behavioral patterns and warrants further investigation. Conclusion: The developed scale offers a preliminary tool for future research on rage in video game players. Its application may contribute to a more comprehensive understanding of this phenomenon and its psychological correlates.

Indexed as

digital gameemotional dysregulationgaming disorderragetilt

Identifiers

PMID41334078
PMCPMC12667240

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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.