Abstract:The purpose of the current study was to examine the psychometric properties of the Early Childhood Environment Rating Scale-Revised (ECERS-R) with a large sample (1313 classrooms). We explored both the seven subscales and the possibility of fewer distinct aspects of quality being measured by the scale. The large sample size allowed both exploratory and confirmatory factor analyses to be performed. The results showed two distinct factors, Activities/Materials (nine items) and Language/Interaction (seven items), which accounted for 69% of the variance. High internal consistency scores, a moderate correlation between the factorbased scales, and a strong correlation between the combined factor-based scales and the overall ECERS-R score suggested these were distinct factors that could serve as a proxy for the larger scale. Structural aspects of quality and teacher education were examined in relation to the new factor-based scales and the overall score. Implications for practitioners and future research suggestions are provided Keywords: Preschool | Activities/Materials | Language/Interaction | Early Childhood | Teacher Education
Article:The Early Childhood Environment Rating Scale-Revised (ECERS-R) (Harms, Clifford, & Cryer, 1998) is perhaps the most frequently used measure of global quality in early childhood settings. As Scarr et al. have argued, instruments, such as the ECERS-R, have multiple purposes including regulatory, research, and consultative (Scarr, Eisenberg, & Deater-Deckard, 1994). Desirable properties of such instruments vary with the purpose. For research purposes, a streamlined, easier to administer measure is most preferable while for regulatory and consultative purposes a more detailed, longer scale may be more appropriate. Certainly, when a scale, such as the ECERS-R, is used for regulatory purposes, it is critical that the breadth of quality be examined in as comprehensive a manner as possible. When using the scale for research there are advantages in efficiency to having fewer items. The time to obtain inter-observer reliability and to administer the scale may be shortened. The use of factor analysis techniques to reduce the scale can also provide insight into underlying unique dimensions of quality rather than a single global indicator. Several factor analyses have been completed on the both the original ECERS (Harms & Clifford, 1980;Howes, Phillips, & Whitebook, 1992; Phillipsen, Bruchinal, Howes, & Cryer, 1997;Scarr et al., 1994) and the revised version (Holloway, Kagan, Fuller, Tsou, & Carroll, 2001;Perlman, Zellman, & Le, 2004;Sakai, Whitebook, Wishard, & Howes, 2003) with different results. Limited sample sizes in these past studies have not permitted both exploratory and confirmatory factor analytic techniques to be used. The large sample size in the current study allowed for a more statistically rigorous approach to determine if there are underlying distinct constructs of quality in the ECERS-R and if a shorter version of scale can be reliably used in research studies.
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