Individual, Organizational, and Policy Barriers to Professional Development for Childcare Providers: Moderation By Rurality
*Names in bold indicate Presenter
The Workforce Provider survey of the National Study of Early Care and Education (NSECE 2012) was used to address our research aims. The survey provides data from classroom-assigned instructional staff, teachers, and assistant teachers who worked at a center-based care setting. The sample was restricted to providers caring for children from ages of 0-5 (N = 4,832). Among these, 4,089 was form urban, 559 were form suburban, and 184 were from rural areas. Possible individual (e.g. experience, degree major, certification) and organizational barriers (e.g. worker role, working hours, hourly wage amount) were regressed on four different PD types; workshop, courses, coaching, and visiting others. Demographic variables (e.g. race, ethnicity) were added as covariates. Policy features, from the QRIS Compendium, will provide insight into policy barriers. Four regression models were computed for four groups; all sample, urban, suburban, and rural.
Overall, results suggested that depression was negatively related with taking workshops (b = -.06, SE = .03), not having a degree on education or ECE was positively related with taking courses (b = .15, SE = .05), and not having a determined work role was negatively related with coaching (b = -.54, SE = .11). For coaching, having a graduate education was positively related in rural areas (b = .72, SE = .16) while it is negatively related in urban areas (b = -.56, SE = .20). Compared to working full time, working part time is negatively related to taking courses in rural areas (b = -.30, SE = .12), whereas it is positively related in suburban areas (b = .49, SE = .19). By and large, the barriers identified in the first round of regression models did not vary by rurality.
The results provide insight into impediments to PD among child care workers. Additional analyses will incorporate state-level policy features, as identified in QRIS systems.