The Multi-Component Gratitude Measure in Spanish for youth: An adaptation of the MCGM in Colombia

The present study explored the psychometric properties of the Multi-Component Gratitude Measure (MCGM), in Spanish with a sample of Colombian children. The sample was composed of 540 schoolchildren between 8–12 years old (265 females, mean age 10.04 years; 75 males, mean age 10.08 years). The MCGM a...

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Main Authors: Yvonne Gómez, Sonia Carrillo, Gordon P.D. Ingram, María Alejandra Tangarife, Daniela Robles, Marta Carolina Ibarra, Blaire Morgan
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022038488
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author Yvonne Gómez
Sonia Carrillo
Gordon P.D. Ingram
María Alejandra Tangarife
Daniela Robles
Marta Carolina Ibarra
Blaire Morgan
author_facet Yvonne Gómez
Sonia Carrillo
Gordon P.D. Ingram
María Alejandra Tangarife
Daniela Robles
Marta Carolina Ibarra
Blaire Morgan
author_sort Yvonne Gómez
collection DOAJ
description The present study explored the psychometric properties of the Multi-Component Gratitude Measure (MCGM), in Spanish with a sample of Colombian children. The sample was composed of 540 schoolchildren between 8–12 years old (265 females, mean age 10.04 years; 75 males, mean age 10.08 years). The MCGM aims to examine more comprehensively the moral virtue of gratitude as a construct with 3 components (emotional, conative/attitudinal, and behavioral) distributed across 6 subscales. We translated the MCGM into Spanish and validated the factor structure in a principal component analysis, basing the analysis on the 6 subscales. We corroborated that gratitude can be understood as a complex, multi-component construct from children's perspectives. Overall, the MCGM subscales showed good reliability coefficients between 0.7 and 0.9. Confirmatory factor analysis indicated that a 4-factor model structure (obtained in the PCA) presented the best-adjusted fit indices. Factor 1 represented the feelings subscale, factor 2 represented the attitudinal component, and factors 3 and 4 the behavioral component. Convergent validity was evaluated with other instruments of gratitude, along with additional variables including positive emotion, prosocial behavior and wellbeing, in a subsample of 210 children. Multiple sources of evidence indicate that the translated and validated measure, the MCGM-Spanish Youth (MCGM-SY), is an instrument with good reliability and validity for measuring gratitude in Spanish-speaking children.
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spelling doaj.art-5f4b68d7206f4f1ebeb5cbc6d647a6cd2023-01-05T08:40:58ZengElsevierHeliyon2405-84402022-12-01812e12560The Multi-Component Gratitude Measure in Spanish for youth: An adaptation of the MCGM in ColombiaYvonne Gómez0Sonia Carrillo1Gordon P.D. Ingram2María Alejandra Tangarife3Daniela Robles4Marta Carolina Ibarra5Blaire Morgan6Department of Psychology, Universidad de Los Andes, Bogotá, Colombia; Corresponding author.Department of Psychology, Universidad de Los Andes, Bogotá, ColombiaDepartment of Psychology, Universidad de Los Andes, Bogotá, ColombiaDepartment of Psychology, Universidad de Los Andes, Bogotá, ColombiaDepartment of Psychology, Universidad de Los Andes, Bogotá, ColombiaDepartment of Psychology, Universidad de Los Andes, Bogotá, ColombiaDepartment of Psychology, University of Worcester, Worcester, United KingdomThe present study explored the psychometric properties of the Multi-Component Gratitude Measure (MCGM), in Spanish with a sample of Colombian children. The sample was composed of 540 schoolchildren between 8–12 years old (265 females, mean age 10.04 years; 75 males, mean age 10.08 years). The MCGM aims to examine more comprehensively the moral virtue of gratitude as a construct with 3 components (emotional, conative/attitudinal, and behavioral) distributed across 6 subscales. We translated the MCGM into Spanish and validated the factor structure in a principal component analysis, basing the analysis on the 6 subscales. We corroborated that gratitude can be understood as a complex, multi-component construct from children's perspectives. Overall, the MCGM subscales showed good reliability coefficients between 0.7 and 0.9. Confirmatory factor analysis indicated that a 4-factor model structure (obtained in the PCA) presented the best-adjusted fit indices. Factor 1 represented the feelings subscale, factor 2 represented the attitudinal component, and factors 3 and 4 the behavioral component. Convergent validity was evaluated with other instruments of gratitude, along with additional variables including positive emotion, prosocial behavior and wellbeing, in a subsample of 210 children. Multiple sources of evidence indicate that the translated and validated measure, the MCGM-Spanish Youth (MCGM-SY), is an instrument with good reliability and validity for measuring gratitude in Spanish-speaking children.http://www.sciencedirect.com/science/article/pii/S2405844022038488GratitudeMeasurementYouthsSpanish adaptationConfirmatory factor analysisPositive emotion
spellingShingle Yvonne Gómez
Sonia Carrillo
Gordon P.D. Ingram
María Alejandra Tangarife
Daniela Robles
Marta Carolina Ibarra
Blaire Morgan
The Multi-Component Gratitude Measure in Spanish for youth: An adaptation of the MCGM in Colombia
Heliyon
Gratitude
Measurement
Youths
Spanish adaptation
Confirmatory factor analysis
Positive emotion
title The Multi-Component Gratitude Measure in Spanish for youth: An adaptation of the MCGM in Colombia
title_full The Multi-Component Gratitude Measure in Spanish for youth: An adaptation of the MCGM in Colombia
title_fullStr The Multi-Component Gratitude Measure in Spanish for youth: An adaptation of the MCGM in Colombia
title_full_unstemmed The Multi-Component Gratitude Measure in Spanish for youth: An adaptation of the MCGM in Colombia
title_short The Multi-Component Gratitude Measure in Spanish for youth: An adaptation of the MCGM in Colombia
title_sort multi component gratitude measure in spanish for youth an adaptation of the mcgm in colombia
topic Gratitude
Measurement
Youths
Spanish adaptation
Confirmatory factor analysis
Positive emotion
url http://www.sciencedirect.com/science/article/pii/S2405844022038488
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