Psychometric Properties of the Affective Dimension of the Generic Macro-Competence Assessment Scale: Analysis Using Rasch Model Morales Rodríguez, Francisco Manuel Martí Vilar, Manuel Narváez Peláez, Manuel Alejandro Giménez Lozano, José Miguel Martínez Ramón, Juan Pedro Caracuel Romero, Alfonso Generic competencies Common good Socio-affective factors Sustainability education Rasch Model University students The study of the affective dimension of transversal competences is essential for the development of responsible behaviors and maintaining attitudes committed to sustainable development. The importance attributed to each of these factors can predict behavior implementation and awareness of values for sustainable development that reflect the acquisition and internalization of sustainabilityrelated generic competences. This study aimed to determine the psychometric properties of the affective dimension of the Generic Macro-Competence Assessment (AGMA) scale by applying Rasch measurement model to a sample of Spanish university students, comprising 387 Spanish university students (74.9% women; mean age = 21.24; WD = 3.54; range: 17–34). Results demonstrated a lack of adjustment to the Rasch model due to item 1, and all items showed disordered response category thresholds. The remaining nine-item scale achieved all requirements of the model (χ2 = 61.46; p = 0.052), including unidimensionality. Thus, the scale’s psychometric properties indicate an easyto-apply instrument for screening these factors for coping strategies in undergraduate and graduate Spanish students. The results can help in justifying the design of interdisciplinary intervention programs, in which affective factors are essential for sustainable development education. 2021-07-15T11:17:24Z 2021-07-15T11:17:24Z 2021 info:eu-repo/semantics/article Morales-Rodríguez, F.M.; Martí-Vilar, M.; Peláez, M.A.N.; Lozano, J.M.G.; Martínez-Ramón, J.P.; Caracuel, A. Psychometric Properties of the Affective Dimension of the Generic Macro-Competence Assessment Scale: Analysis Using Rasch Model. Sustainability 2021, 13, 6904. https://doi.org/10.3390/ su13126904 http://hdl.handle.net/10481/69724 10.3390/su13126904 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI