Estudio de validación: escala de metaconocimientos sobre estados emocionales en Enfermería, Bogotá - Colombia

Highlights The study validated the instrument among nursing personnel in Bogotá, Colombia, confirming its reliability and validity. The analysis of results included a more rigorous reliability analysis model to evaluate the instrument’s psychometric properties, employing the Omega coefficient. Exploratory factor analysis identified a three-factor solution accounting for 53.7% of the total variance, while confirmatory factor analysis supported the theoretical structure with satisfactory model fit indices. The instrument was validated as an effective tool for measuring emotional competencies in nursing, which are essential for professional development and patient care. Introduction: Nursing staff working in clinical care settings are exposed to multiple stressful situations that test their emotional and psychological resources, affecting the quality of care they provide and their physical and emotional well-being. Objective: To validate the Trait Meta-Mood Scale among nursing personnel in order to provide a valid and reliable instrument. Materials and Methods: A quantitative, non-experimental study was conducted to evaluate the factorial structure and psychometric properties of the 24-item Trait Meta-Mood Scale (TMMS-24). Data were analyzed using Python and RStudio in a sample of 189 clinical nurses from two healthcare institutions in Bogotá, Colombia. Results: Exploratory factor analysis identified a three-factor structure explaining 53.7% of the total variance, providing evidence of construct validity. Confirmatory factor analysis yielded acceptable model fit indices (CFI = 0.910; TLI = 0.897), supporting the instrument's theoretical structure. Discussion: The empirical performance of items 23 and 24 should be further examined in comparison with findings from similar studies, as should the theoretical adequacy of item 5, to reduce inconsistencies in sensitivity. It should also be considered the context in which the instrument is applied and include samples with greater geographic diversity to enhance the scale’s precision and applicability across different settings. Conclusions: The scale was validated as an effective instrument for assessing emotional metaknowledge in nursing, essential for professional development and patient care. How to cite this article: Guavita Rozo Nohora Cristina, Romero León Liliana, Estévez Ceballos José Areth, Boyacá Leal Salomé. Validation study: Trait Meta- Mood Scale in Nursing, Bogotá - Colombia. Revista Cuidarte. 2026;17(3):e4970. https://doi.org/10.15649/cuidarte.4970

Authors

Institutions

Publication Details

Journal
Revista CUIDARTE
Published
2026-11-06
DOI
https://doi.org/10.15649/cuidarte.4970
Primary Topic
Health Education and Validation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Estudio de validación: escala de metaconocimientos sobre estados emocionales en Enfermería, Bogotá - Colombia

Nohora Cristina Guavita Rozo, Jose Areth Estevez Ceballos, Liliana Romero León, Salomé Boyacá Leal
1 links
Revista CUIDARTE
Health Education and Validation
article

Estudio de validación: escala de metaconocimientos sobre estados emocionales en Enfermería, Bogotá - Colombia

Nohora Cristina Guavita Rozo, Jose Areth Estevez Ceballos, Liliana Romero León, Salomé Boyacá Leal
article en

Abstract

Highlights The study validated the instrument among nursing personnel in Bogotá, Colombia, confirming its reliability and validity. The analysis of results included a more rigorous reliability analysis model to evaluate the instrument’s psychometric properties, employing the Omega coefficient. Exploratory factor analysis identified a three-factor solution accounting for 53.7% of the total variance, while confirmatory factor analysis supported the theoretical structure with satisfactory model fit indices. The instrument was validated as an effective tool for measuring emotional competencies in nursing, which are essential for professional development and patient care. Introduction: Nursing staff working in clinical care settings are exposed to multiple stressful situations that test their emotional and psychological resources, affecting the quality of care they provide and their physical and emotional well-being. Objective: To validate the Trait Meta-Mood Scale among nursing personnel in order to provide a valid and reliable instrument. Materials and Methods: A quantitative, non-experimental study was conducted to evaluate the factorial structure and psychometric properties of the 24-item Trait Meta-Mood Scale (TMMS-24). Data were analyzed using Python and RStudio in a sample of 189 clinical nurses from two healthcare institutions in Bogotá, Colombia. Results: Exploratory factor analysis identified a three-factor structure explaining 53.7% of the total variance, providing evidence of construct validity. Confirmatory factor analysis yielded acceptable model fit indices (CFI = 0.910; TLI = 0.897), supporting the instrument's theoretical structure. Discussion: The empirical performance of items 23 and 24 should be further examined in comparison with findings from similar studies, as should the theoretical adequacy of item 5, to reduce inconsistencies in sensitivity. It should also be considered the context in which the instrument is applied and include samples with greater geographic diversity to enhance the scale’s precision and applicability across different settings. Conclusions: The scale was validated as an effective instrument for assessing emotional metaknowledge in nursing, essential for professional development and patient care. How to cite this article: Guavita Rozo Nohora Cristina, Romero León Liliana, Estévez Ceballos José Areth, Boyacá Leal Salomé. Validation study: Trait Meta- Mood Scale in Nursing, Bogotá - Colombia. Revista Cuidarte. 2026;17(3):e4970. https://doi.org/10.15649/cuidarte.4970

Revista CUIDARTEVol. 17(3)
Fundación Universitaria del Área Andina (CO)
Good health and well-being
Openalex Percentile: Top 10%
Health Education and Validation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon