Predicting informal child caregiver turnover
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This study is designed to develop and test a potential needs assessment process that states and localities could use to make decisions regarding financial and staff budgeting related to informal caregiver turnover rates. More specifically, this needs assessment is derived from a model of factors expected to influence turnover rates of informal caregivers enrolled in the Childcare and Parent Services (CAPS) subsidy program in Georgia counties. Factors tested included amount spent on child care per person, percent of child care options that are informal care, number of child care workshops, average family size, mean education level of the county, number of higher education institutions, and high school drop out rates. Regression analysis were run using the full sample of all 159 counties in Georgia as well as on subsets of counties that were rural growth/rural decline and urban/suburban. In each of the analysis the only variable that was predictive of informal caregiver turnover rate was amount spent on low income child care per person in the county.