Welfare Reform/Child Well-Being Administrative Data Linking. Design


  1. One way Analysis of Variance (ANOVA) with repeated-measures factor was the tool elected to use for the analysis. This tool allowed for the analysis of the number of Medicaid claims per individual filed one year prior to employment versus the number of claims filed one year after employment.
  2. In an attempt to control for natural changes in medical care utilization as individuals age, the analysis was stratified by age. The design is affected by natural changes in people that may occur over time. Because the same population is included in both periods of time - the population quite literally is aging. This aging could bias the results. For example, a child from two years old to three years old may go to the doctor more often for illnesses than that same child who ages from three years old to four years old. Elderly adults also have much higher rates of utilization. The data allowed for three general age classifications to maintain sufficient sample sizes to detect meaningful differences in Medicaid utilization. Each age group had approximately 30% of the population. These age groups were defined as 0-5 years, 6-17 years, and 18 years and over. The pre-employment. and post-employment time frames covered the same months for any given individual thereby controlling for seasonal variations in medical care utilization.
  3. In order to partially test for this aging bias, a similar analysis was repeated on the entire 0-5 year old Medicaid population.