Confirmatory factor analysis of the Appraisal of Self-Care Agency Scale - Revised

Abstract

Objective:to analyze the factor structure of the Appraisal of Self-Care Agency Scale-Revised (ASAS-R), adapted for Brazil. Method:methodological study conducted with 150 individuals with diabetes mellitus cared for by the Family Health Strategy, most of whom are elderly with low educational levels. The test of the hypothesis concerning the confirmatory factor composition of the ASAS-R was performed using latent variables structural equations. Results:the model’s goodness-of-fit indexes were satisfactory (χ2 = 259.19; χ2/g.l = 2.97, p < 0.001; GFI = 0.85; RMR = 0.07; RMSEA = 0.09); the factor loads were greater than 0.40; and most item-to-factor-correlations presented moderate to strong magnitude (0.34 to 0.58); total alpha value was 0.74, while the alpha of the three factors were 0.69, 0.38 and 0.69, respectively. Conclusion:the scale’s factor structure presented satisfactory validity and reliability results, with the exception of one factor. Application of this scale to samples of the general population is desirable in order to strengthen analyses of internal consistency and the dimensionality of the factor structure. This study is expected to contribute to further studies addressing the self-care agency construct and the development of the ASAS-R.

Impact of Strategic Leadership on Strategic Competitive Advantage Through Strategic Thinking and Strategic Planning: A Bi-Meditational Research

“…The results indicated that the current model fitted the data well, Chi2/df value was 2.331 which is less than 3 (Hoe 2008), GFI value was 0.951 which is close to the acceptable value of fit, CFI value was 0.958 which is higher than 0.95, RMSEA value was 0.061 which is greater than 0.05 and less than 0.10 (Hooper et al 2008, Bhat et al 2018. Finally, AGFI value was 0.862 which is higher than 0.80 (Stacciarini and Pace 2017) 3. Data analysis and results…”

Validación de escala de Valoración de Agencia de Autocuidado (ASA) en adolescentes chilenos

“…From this version, it derived a validated scale for the Brazilian population, which excluded 14 items, remaining grounded in the theory in three factors. 22 The successive psychometric tests of this last version of the ASA, carried out in different cultures, 2,23,29 have achieved a good adjustment. However, its use has shown so far only in a population with some chronic condition and in the elderly.…”

“…Similar results have been coinciding with other studies, such as the one conducted on a population in Costa Rica, 20 which also presents low correlation in the items 6, 7, 8, 11 and 20; the one of Colombia, 17 and that they have even proposed new ASA scale versions, generating smaller and even more, multidimensional scales. 2,3,22,23,29 In this study, the construct-related validation through a confirmatory and exploratory factorial analysis was explored. The analysis of the first produced a factorial solution of five factors, where an unclear and complex dimensional structure was observed, as it was not possible to recognize items that were conceptually related.…”

“…1 This is evidenced through studies that the self-care agency considers as relevant in the development and maintenance of health behaviors-promoting such as to eat healthily, to maintain an appropriate sleep, be active, as well as with regard to specific diseases, in which it is essential to demonstrate self-management skills. 2,3 These actions of self-care agency lead to a reduction of personal costs and of health systems, since persons get sick less often, or need less health care. 4 In Chile, the self-care is an important element within public health policies, since it is one of the pillars of the health promotion in general, and, specially, in the adolescent population.…”

Inferencia estadística de las variables del control interno en una entidad hospitalaria de acuerdo con la percepción de sus actores

“…Según lo anterior, esta metodología suele ser utilizada en las ciencias sociales, en la investigación de mercados y en otras industrias que abarcan conjuntos de datos con dimensiones considerables (Gogni y Muiños, 2016; Rojas-Torres, 2016; Valdés-Moreno, Rodríguez-Márquez, Cervantes-Navarrete, Camarena y Gortari, 2016). En tal contexto, una de las pruebas más usadas para la validación de este análisis es la de Káiser-Meyer-Olkin (KMO), una herramienta que mide su nivel de aceptación (Stacciarini y Pace, 2017). En tanto, el análisis clúster es un conjunto de técnicas multivariantes utilizadas para clasicar a un conjunto de individuos en grupos homogéneos (Patias, Bobsin, Gomes, Liszbinski y Damke, 2016).…”