Mattering in Domains of Life Scale (MIDLS) is a 27 items scale to measure people’s perception of mattering in terms of feeling valued by others and adding value to others. The scale considers mattering as a multidimensional construct, across several life domains such as personal, interpersonal, occupational, and community. Each MIDLS domain is measured on a temporal continuum. A national sample of 3180 Italian people, reduced to a final sample of 2600 cases following data cleaning, was involved. Confirmatory factor analysis (CFA), within the framework of covariance-based structural equation modelling (CB-SEM), revealed that the best structure of Italian MIDLS is a bifactor solution, with a general mattering factor and eight domain-specific factors. High standardized factor loadings, along with high levels of omega hierarchical for the general factor and omegaS for the domain-specific factors show that the Italian MIDLS presents optimal psychometric proprieties in terms of dimensionality of the scale as well as reliability.
Multidimensional and temporal mattering: The Italian adaptation of the Mattering in Domains of Life Scale / Di Napoli, I.; Di Martino, S.; Arcidiacono, C.; Prilleltensky, I.; Esposito, C.. - In: TPM. TESTING, PSYCHOMETRICS, METHODOLOGY IN APPLIED PSYCHOLOGY. - ISSN 1972-6325. - 30:3(2023), pp. 333-348. [10.4473/TPM30.3.6]
Multidimensional and temporal mattering: The Italian adaptation of the Mattering in Domains of Life Scale
Di Napoli I.
Primo
;Arcidiacono C.;Prilleltensky I.;
2023
Abstract
Mattering in Domains of Life Scale (MIDLS) is a 27 items scale to measure people’s perception of mattering in terms of feeling valued by others and adding value to others. The scale considers mattering as a multidimensional construct, across several life domains such as personal, interpersonal, occupational, and community. Each MIDLS domain is measured on a temporal continuum. A national sample of 3180 Italian people, reduced to a final sample of 2600 cases following data cleaning, was involved. Confirmatory factor analysis (CFA), within the framework of covariance-based structural equation modelling (CB-SEM), revealed that the best structure of Italian MIDLS is a bifactor solution, with a general mattering factor and eight domain-specific factors. High standardized factor loadings, along with high levels of omega hierarchical for the general factor and omegaS for the domain-specific factors show that the Italian MIDLS presents optimal psychometric proprieties in terms of dimensionality of the scale as well as reliability.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
