Spss 23.0 statistical

SPSS23.0 statistical software was adopted to process the data. The measurement data were presented as ( $\overline{x}\pm s$ ). The group design t-test was adopted for the comparison and the analysis of variance was adopted for the comparison between multiple groups. Dun-net-t test was adopted for comparison with the control group. The counting data were presented in the number of cases and the percentage, χ² test was adopted for comparison between groups, and a bilateral test was employed for all statistical tests.

Data analyses were conducted using the SPSS 23.0 statistical software program. The characterization of early intervention services in the US was examined using descriptive statistics and mean difference analyses (i.e., Chi-square tests and independent samples t-test). Concretely, Chi-square tests (through contingency tables based on Bonferroni post-hoc method) were conducted to identify the discrepancies across the participant groups (i.e., administrators, providers, and caregivers) on intervention intensity, type of parent/caregiver training, coaching given and received, and the presenting needs of children with ASD. Two-tailed independent sample t-tests were used to detect discrepancies between administrators and providers on the perceived effectiveness of their team at addressing child's needs. To examine intervention practices and strategies used, and organizational variables associated with readiness to implement evidence-based practices, we conducted descriptive statistics, Pearson correlational analyses, and multiple linear regression analysis (i.e., using a backward elimination method to determine best model fit).