Forma abreviada del Parental-Caregivers Perceptions Questionnaire: propiedades psicométricas de la versión mexicana

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Objective. To explore the psychometric performance of the Parent-Caregiver Perceptions Questionnaire short-form in Mexican parents. Methods. Cross-sectional study performed in a sample of 214 participants. The content validity of the P-CPQ-16 and two alternative 14-item scales was examined using exp...

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Detalles Bibliográficos
Autores: Romo Pérez, Camilo, San Martín López, Alma Luz
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/23532
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/odont/article/view/23532
Nivel de acceso:acceso abierto
Materia:Psychometrics
Reliability
Validity
Oral health
Child health
Psicometría
Confiabilidad
Validez
Salud bucal
Salud infantil
Descripción
Sumario:Objective. To explore the psychometric performance of the Parent-Caregiver Perceptions Questionnaire short-form in Mexican parents. Methods. Cross-sectional study performed in a sample of 214 participants. The content validity of the P-CPQ-16 and two alternative 14-item scales was examined using exploratory factor analysis. The goodness-of-fit measures of three models were calculated in the confirmatory factor analysis. Reliability measures (Cronbach’s alpha and McDonald’s omega) were calculated. Internal consistency and discriminant power were evaluated using Spearman’s coefficient and success percentages. Results. The P-CPQ-16 with four factors explained 57.88% of the variance. However, the items ‘slow eating’ and ‘shy or embarrassed’ were not satisfactory. The P-CPQ-14 three-factor scale explained 50.22% of the variance with better interpretability of the structure compared to the P-CPQ-16. Reliability of P-CPQ-16 was acceptable (alpha=0.70; omega=0.70) as well as the trifactorial P-CPQ-14 (alpha=0.71; omega=0.72). Confirmatory analysis between models revealed similar goodness-of-fit indicators: model (16 items-4 factors): X2=43.765 (df 62) p=[0.961], GFI=0.98, CFI=0.98, RMSEA=0.036, TLI=0.96, AIC=508.26, model (14 items-4 factors): X2=24.43 (df 41) [p=0.981], GFI=0.99, CFI=0.99, RMSEA=0.029, TLI=0.98, AIC=423.702, model (14 items-3 factors): X2=40.183 (df 52) [p=0.883], GFI=0.98, CFI=0.98, RMSEA=0.035, TLI=0.97, AIC=365.38. Conclusions. The three versions of the P-CPQ showed an acceptable psychometric performance. The three-factor version P-CPQ-14 presented better structure, high factor loads, good model fit, adequate parsimony, and theoretical plausibility. This alternative version needs to be psychometrically tested on a larger sample.
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