Gross motor and physical activity opportunities in early childhood are important for promoting health and development. We conducted two studies with the following aims: 1) to describe the quality of gross motor/physical activity early learning environments in Washington (WA) state, USA and 2) to study the relationship between the quality of gross motor/physical activity environments and various early learning outcomes. We used state-wide classroom quality measures related to gross motor activities from the Early Childhood Environment Rating Scale-Revised (N=1335 centers). For Aim 2, individual early learning assessments were conducted on 495 children from 72 centers in the fall and spring. We found considerable room for improvement in the space, equipment, schedule and supervision related to gross motor activities in child care centers. The quality of the gross motor environments was found to be related to desirable early learning outcomes including preschoolers' executive functions and behavior.

State budgets temporarily crashed amid the COVID-19 pandemic and economic shutdown, placing education funding at risk. To demonstrate implications for school finance, we show that (1) school districts are racially segregated along class lines; (2) higher-poverty districts receive a greater share of funds from state, as opposed to local sources, making them especially vulnerable during economic downturns; and (3) many states made across-the-board K-12 budget reductions following the Great Recession, but those cuts disproportionately impacted high-poverty districts. A decade later, state legislators may face similar fiscal challenges. Instead of enacting acrossthe-board cuts, states can identify specific funding programs that already benefit lower-poverty districts or wealthier students. We demonstrate how this approach would work under different state finance models and offer recommendations for state policy makers.

Following the pioneering efforts of a federal Head Start program, U.S. state policymakers have rapidly expanded access to Early Care and Education (ECE) programs with strong bipartisan support. Within the past decade the enrollment of 4 year-olds has roughly doubled in state-funded preschool. Despite these public investments, the content and priorities of early childhood legislation–enacted and failed–have rarely been examined. This study integrates perspectives from public policy, political science, developmental science, and machine learning in examining state ECE bills in identifying key factors associated with legislative success. Drawing from the Early Care and Education Bill Tracking Database, we employed Latent Dirichlet Allocation (LDA), a statistical topic identification model, to examine 2,396 ECE bills across the 50 U.S. states during the 2015-2018. First, a six-topic solution demonstrated the strongest fit theoretically and empirically suggesting two meta policy priorities: ‘ECE finance’ and ‘ECE services’. ‘ECE finance’ comprised three dimensions: (1) Revenues, (2) Expenditures, and (3) Fiscal Governance. ‘ECE services’ also included three dimensions: (1) PreK, (2) Child Care, and (3) Health and Human Services (HHS). Further, we found that bills covering a higher proportion of HHS, Fiscal Governance, or Expenditures were more likely to pass into law relative to bills focusing largely on PreK, Child Care, and Revenues. Additionally, legislative effectiveness of the bill’s primary sponsor was a strong predictor of legislative success, and further moderated the relation between bill content and passage. Highly effective legislators who had previously passed five or more bills had an extremely high probability of introducing a legislation that successfully passed regardless of topic. Legislation with expenditures as policy priorities benefitted the most from having an effective legislator. We conclude with a discussion of the empirical findings within the broader context of early childhood policy literature and suggest implications for future research and policy.

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