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Appendix D: Comparison of Fall 2002 for Head Start Treatment and Non-Head Start Control Group Children: Weighted and Un-weighted Data

To allow readers to understand the effect of weighting on the subsequent analysis of the impact of Head Start, Table D1 compares the Head Start treatment and non-Head Start control groups using three different weights: (1) using unweighted data; (2) weighted to reflect each child’s overall probability of selection (Child Base Weights); and (3) using weights that are adjusted, or raked,35 for nonresponse to the Parent Interview to restore the weighted distribution to that of the original sample (Final Child Weights).

In Table D1, the distribution of Parent Interview respondents (“Final Child Weights”) closely matches that of the original sample (“Child Base Weights”) with the exception of the percent Hispanic/Spanish speaking and percent White/English speaking children. This is because the raking adjustment was used to improve the reliability of the survey estimates and to correct for bias due to undercoverage. The weights of Hispanic children was reduced and those of White children slightly increased, so that the weighted sample distribution matches the PIR with respect to total enrollment by race/ethnicity. However, none of the differences in Exhibit D1 are statistically significant (p > .13 for all comparisons).

Table D1: Comparison of Head Start and Non-Head Start Study Groups: Child and Family Characteristics Measured at Fall 2002 Parent Interview
Characteristic Treatment Group (%) Control Group (%) Treatment and Control Groups Combined (%)
Unweighted Child Base Weights Final Child Weights1 Unweighted Child Base Weights Final Child Weights Unweighted Child Base Weights Final Child Weights
Child's Age2:
3-Year Old 60.9 59.6 60.1 61.0 59.5 60.7 60.9 59.5 60.4
4-year-old 38.8 40.3 39.8 38.9 40.4 39.2 38.9 40.3 39.5
Missing 0.3 0.1 0.1 0.1 0.1 0.1 0.2 0.1 0.1
Child's Gender:
Boys 50.1 49.8 49.5 50.0 48.5 49.4 50.1 49.2 49.5
Girls 49.9 50.2 50.5 50.0 51.5 50.6 49.9 50.8 50.5
Child's Race/Ethnicity:
Hispanic 41.1 44.3 40.2 41.2 46.0 40.5 41.1 45.1 40.3
Black 28.6 25.0 24.8 27.3 23.3 23.7 28.1 24.2 24.2
White 24.4 25.3 28.7 24.9 23.5 28.3 24.6 24.5 28.5
Other 5.7 5.2 6.1 6.6 7.2 7.6 6.0 6.1 6.8
Missing 0.3 0.2 0.2 0.0 0.0 0.0 0.2 0.1 0.1
Home Language:
English 66.2 64.2 67.0 65.5 59.9 64.0 65.9 62.2 65.5
Spanish 30.4 31.9 28.6 30.1 34.8 30.1 30.3 33.3 29.4
Other 2.5 3.0 3.3 3.2 4.1 4.6 2.8 3.5 3.9
Presence of Child Disability:
Yes 14.2 13.5 13.7 11.8 12.5 12.4 13.3 13.0 13.1
No 85.8 86.5 86.3 88.2 87.5 87.6 86.7 87.0 86.9
Mother's Age
Less than 18-years old 0.2 0.1 0.1 0.1 0.0 0.0 0.1 0.1 0.1
18 - 21 years old 10.0 8.9 9.1 10.9 9.1 9.5 10.4 9.0 9.3
22 - 25 years old 29.5 28.4 28.2 26.9 27.3 27.1 28.5 27.9 27.7
26 - 30 years old 27.9 28.0 28.2 30.5 31.6 31.6 28.9 29.7 29.9
31 years or older 31.1 32.9 32.5 29.0 28.7 28.7 30.3 31.0 30.6
Missing 1.3 1.7 1.8 2.6 3.2 3.1 1.8 2.4 2.4
Mother's Race
Hispanic 39.8 42.7 38.5 39.4 44.7 38.5 39.6 43.6 38.5
Black 28.5 24.7 24.5 26.8 23.3 23.9 27.9 24.0 24.2
White 27.1 27.5 30.9 29.2 27.2 32.4 27.9 27.3 31.6
Other 4.3 4.6 5.5 4.1 4.5 4.9 4.3 4.6 5.2
Missing 0.3 0.5 0.6 0.4 0.3 0.3 0.4 0.4 0.5
Mother's Education
No HS Diploma or GED 36.4 35.3 34.5 37.8 36.4 35.3 36.9 35.8 34.9
GED 6.0 5.0 5.5 6.1 6.1 6.4 6.0 5.6 6.0
HS Diploma 27.4 28.4 28.6 26.1 28.1 27.1 26.9 28.2 27.8
Some Postsecondary, 21.6 22.0 22.4 20.9 21.3 22.5 21.3 21.7 22.5
No Degree
Associate's Degree 3.7 3.6 3.7 3.9 3.6 4.0 3.8 3.6 3.8
Bachelor's Degree 3.4 3.8 3.4 2.8 2.7 2.6 3.2 3.3 3.0
Graduate school/degree 0.8 1.0 1.1 0.9 0.8 1.0 0.9 0.9 1.0
Missing 0.8 0.9 0.9 1.4 1.1 1.2 1.0 0.9 1.0
Mother's Employment Status
Full-time 31.7 31.4 30.8 30.9 31.2 31.1 31.4 31.3 31.0
Part-time 14.8 14.9 15.1 15.7 18.0 17.2 15.1 16.4 16.1
Other 47.8 48.1 48.1 47.7 46.1 46.7 47.8 47.2 47.4
Missing 5.7 5.6 5.9 5.8 4.7 4.9 5.7 5.2 5.4
Mother's Marital Status
Married 42.9 44.6 44.9 45.3 48.0 48.0 43.8 46.2 46.4
Separated 8.1 7.7 7.7 8.6 7.9 7.9 8.3 7.8 7.8
Divorced 8.1 7.9 8.4 7.4 7.5 7.4 7.8 7.8 7.9
Widowed 0.6 0.7 0.7 0.3 0.3 0.3 0.5 0.5 0.5
Never Married 39.5 38.0 37.4 37.7 35.5 35.7 38.8 36.8 36.6
Missing 0.8 1.1 0.9 0.8 0.7 0.8 0.8 0.9 0.8
Monthly Household Income
$250 or less 2.5 2.4 2.3 2.0 1.5 1.4 2.3 2.0 1.9
251 - 500 6.7 5.9 5.7 7.1 6.0 6.1 6.8 5.9 5.9
501 - 1000 17.8 18.0 17.6 16.2 17.9 16.9 17.2 17.9 17.2
1001 - 1500 16.5 16.5 16.6 18.6 16.3 17.0 17.3 16.4 16.8
1501 - 2000 11.8 12.1 11.8 11.6 12.6 12.6 11.7 12.3 12.2
2001 - 2500 6.1 6.5 6.8 4.6 5.4 5.1 5.5 6.0 6.0
More than $2500 6.9 7.6 7.7 7.6 8.3 8.6 7.2 7.9 8.1
Missing 31.7 31.1 31.5 32.4 32.0 32.2 32.0 31.5 31.8
Receives Public Assistance?
Yes 55.2 53.7 53.5 56.4 51.8 51.9 55.6 52.8 52.7
No 44.4 45.8 45.9 43.1 47.8 47.8 43.9 46.8 46.8
Missing 0.4 0.5 0.6 0.5 0.3 0.3 0.5 0.4 0.5
1Distribution based on children with completed parent interviews.(back)
23-year-olds includes a few 2-year-olds and 4-year-olds includes a few 5-year-olds.(back)



35These weights have been raked to PIR total enrollment by race/ethnicity, and trimmed to reduce the impact on variances of a few extremely large outlier weights. Raking or iterative proportional fitting is when weights are consecutively ratio-adjusted to marginal control totals of the population until the resulting weights converge to the totals for each dimension. In other words, raking ensures that the estimated totals match as closely as possible to known population totals. (back)

 

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