dc.creator | Yupanqui-Lorenzo, Daniel E. | |
dc.creator | Becerra-Herrera, Wilson A. | |
dc.creator | Díaz-Leon, Iván | |
dc.creator | Cardoza Sernaqué, Manuel Antonio | |
dc.creator | Olivera-Carhuaz, Edith S. | |
dc.date.accessioned | 2024-05-23T15:24:55Z | |
dc.date.accessioned | 2024-08-06T20:57:38Z | |
dc.date.available | 2024-05-23T15:24:55Z | |
dc.date.available | 2024-08-06T20:57:38Z | |
dc.date.created | 2024-05-23T15:24:55Z | |
dc.date.issued | 2023 | |
dc.identifier | https://hdl.handle.net/20.500.13067/3179 | |
dc.identifier | Revista Fuentes | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9539214 | |
dc.description.abstract | Studying grit's measurement helps to understand this psychological phenomenon associated with success. Grit-S structures of one-factor and two-factor have been reported in the literature, but there is a lack of reports based on Item Response Theory (IRT). Therefore, two objectives were proposed: to determine the factorial structure of the Spanish version of the Grit-S and explore the instrument through a Multidimentional Item Response Theory (MIRT) analysis. A nonprobabilistic sample of 899 subjects (41.0% female) was evaluated. The 8 items grit scale was used. The Confirmatory Factor Analysis (CFA) showed that the two-factor model obtained a good fit (CFI = 0.97, TLI = 0.95, RMSEA [90%CI] = 0.08 [0.07, 0.10]) unlike the one-dimensional model. An exploratory comparison analysis by MIRT also revealed that the two-factor model performed better (p < 0.001). Consequently, a confirmatory analysis determined an adequate fit of the two-factor model (C2 = 45.4; RMSEA [90%CI] = 0.05 [0.04 - 0.07]; TLI = 0.97; CFI = 0.99). Multidimensional discrimination values were within the expected range (> 1; > 1.5), although item 2 had low discrimination. Regarding difficulty, all items had a monotonic increase. The two-factor model fits the data by both CFA and MIRT. Both complementary analyzes demonstrate the potential of Grit-S to measure latent consistency and perseverance factors. | |
dc.language | eng | |
dc.publisher | Revista Fuentes | |
dc.relation | https://doi.org/10.12795/revistafuentes.2024.23182 | |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.source | 26 | |
dc.source | 1 | |
dc.source | 109 | |
dc.source | 119 | |
dc.subject | Psychometrics | |
dc.subject | Educational psychology | |
dc.subject | Higher education | |
dc.subject | Measuring instruments | |
dc.subject | Achievement motivation | |
dc.subject | Factor analysis | |
dc.subject | University students | |
dc.subject | Psychological research | |
dc.title | Short Grit Scale (Grit-S): New evidence based on CFA and MIRT models | |
dc.type | info:eu-repo/semantics/article | |