Validez de constructo y confiabilidad del Connor-Davidson Resilience Scale (CD-RISC 10) en población colombiana con enfermedades crónicas.

Abstract

RESUMENOBJETIVO: Analizar las propiedades psicométricas de la versión en español del cuestionario Connor-Davidson Resilience Scale (CD-RISC 10) en población colombiana de enfermos crónicos. METODO: Se realizó un proceso de validación por jueces expertos, seguido de una revisión cultural con 10 participantes con enfermedades crónicas, y luego la aplicación del cuestionario a 52 enfermos crónicos de la ciudad de Villavicencio, en cuyos datos se aplicó un análisis factorial exploratorio. RESULTADOS: Tanto el proceso de validación con jueces, como la revisión cultural sugirieron no modificar el instrumento, mientras que el análisis factorial denota un solo factor: resiliencia, y un alfa de Cronbach de .818. CONCLUSIONES: Los resultados de este estudio preliminar muestran una alta confiabilidad y concordancia en la estructura factorial con la versión original, lo que implica una escala ajustada a nivel cultural, y con adecuada validez de constructo y confiable, para población colombiana con enfermedades crónicas. ABSTRACT OBJECTIVE: To analyze the psychometric properties of CD-RISC 10 Spanish version in chronically diseased Colombian patients. METHOD: The CD-RISC 10 was applied to 52 chronically diseased Colombian patients from the city of Villavicencio, followed by an exploratory factor analysis. Prior to this, the scale was validated by experts and piloted in a group of ten chronically diseased patients for cultural revision. RESULTS: The validation by experts as well as the piloting proved no need for adjustment of the scale. The exploratory factor analysis shows resilience and a Cronbach's alpha of .818. CONCLUSIONS: Results in this preliminary study indicate the CD-RISC 10 Spanish version has high reliability which is in accordance with the factor structure of the original version of the scale. This implies the scale is suitable for a different culture. Construct validity is appropriate; therefore, reliable for chronically diseased Colombian patients. PALABRAS CLAVE:

Psychometric Properties of the Connor-Davidson Resilience Scale for South America (CD-RISC-25SA) in Peruvian Adolescents

“…Importantly, the 10-item version does not have two of the three items eliminated from the new model proposed in this study. These items focus on the individual resources of people without considering external elements [ 36 , 66 , 67 , 68 , 69 ]. There are few studies from Latin America that apply the recommended 25-item CD-RISC and keep all items before principal component or structural equation analysis [ 70 , 71 ].…”

Relaciones entre Bienestar Psicológico y Resiliencia en personal de enfermería

“…por Campbell-Sills y Stein (2007). Se cuenta con la versión colombiana para pacientes con enfermedad crónica, realizada por Riveros-Munévar et al ( 2016) y en población universitaria, realizada por Riveros-Munévar et al (2017). Es una escala unidimensional de 10 ítems con un sistema de respuesta tipo Likert con 5 opciones de respuesta que van de 0 (nunca) a 4 (casi siempre).…”

Post-Dishcarge Surveillance in Surgical Site Infection: Validation of an Instrument

“…In the construct validation stage, the instrument's reliability was calculated, i.e., its coherence and its constancy of results, measured using Cronbach's alpha coefficient, which measured the correlation between the instrument items. 14 The result can have a maximum value of 1, with the minimum acceptable value equal to 0.7. 15 Cohen's kappa coefficient was used to measure the agreement between two different types of measurements, such as the instrument created and the physical examination (gold standard).…”

“…3 The Confirmatory Factor Analysis (CFA) model, estimated by weighted least squares, was used to verify the patterns of correlations between variables. 14 Moreover, the Comparative Fit Index (CFI) was verified, considering that values above 0.90 indicate a good adjustment, and the Root Mean Square Error of Approximation (RMSEA), an absolute fit index that compares a hypothetical model to a perfect model, adopting as good fit parameters values < 0.05 and values < 0.08 to indicate a reasonable adjustment. [16][17] In addition to the psychometric analysis described above, descriptive statistical measures were employed.…”