Development of quality early childhood care and education (QECCE) scale: Factor structural and psychometric properties

Abstract

This research is to design and develop an initial psychometric evaluation of the Quality Early Childhood Care and Education (QECCE) scale. The procedure of developing the QECCE item scale was conducted by using the sequential missed method research approach. The study involved 2464 samples. Systematic reviews were carried out to identify the related constructs for the items, and discussion with expert panels for its validity has been done, followed by an examination of the psychometric quality of the items. The exploratory factor analysis (EFA) generated a four factoring model with 22 items. Confirmatory factor analysis (CFA) has proven all the items achieve the minimum thresholds of model fit. Based on structural equation modeling (SEM) outputs, the QECCE scale successfully explained 63.25% of the total variance. On this basis, the QECCE scale is a valid and reliable survey instrument specifically for assessing the quality of Malaysian ECCE. The study confirmed that the predictors for examining the QECCE were Centre Management (CM), Safety, Health, and Nutrition Management (SHNM), Leadership and Professional Development (LPD), and Parent and Community Involvement (PCI).