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2.0 Existing Findings Related to Served and Unserved Families
2.1 Overview
The purpose of this chapter is to explore existing data sources, both Head Start and national datasets in order to learn more about the characteristics of Head Start-eligible families. The datasets examined include the Head Start Program Information Report (PIR), the Survey on Income and Program Participation (SIPP), the Panel Survey on Income Dynamics (PSID), the National Longitudinal Survey of Youth (NLSY79), while Head Start FACES was used as a reference dataset.
2.1.1 Background
The purpose of this section is to review some recent papers that may provide information on unserved families. Perspectives from these other studies offer insights into the characteristics of low-income families who are not receiving needed services, including those families who may be eligible for, but not enrolled in, Head Start.
The underlying issue related to the interest in unserved families is that of addressing “unmet need,” which Queralt and Witte (1999) described as the gap or disparity between optimal levels of service (services that meet all needs) and actual levels of service provision (Queralt & Witte, 1999). The causes of this gap are varied, attributable to financial, language, or accessibility barriers that prevent families from using existing services, as well as to the failure of available services to meet the actual need for services. A less apparent cause, which actually does not fit this definition of unmet need, is the preference of some unserved families not to participate in government-sponsored programs. In order to learn more about unmet need, this project had an underlying goal to investigate the characteristics of the unserved families, to assess why they may not be enrolled in Head Start, and to identify methods that may be used to recruit and enroll unserved (unenrolled) families.
Community services providers have always been challenged to meet the changing needs of the families they serve, but recent shifts in the cultural and political landscape have created a moving target. Among the notable challenges facing families are the needs for adequate, accessible health services and for quality, affordable child care. In terms of the former, recent evidence shows that publicly-funded health services (Medicaid and Children’s Health Insurance Program - CHIP) are making concerted outreach efforts to reduce the unmet need for health care for children. This has included an inter-agency effort within the Federal government and by national service organizations to inform families of the opportunities CHIP provides them. While both Medicaid and CHIP have seen enrollment increased because of these efforts, these programs still have not reached the levels of service originally anticipated across the country (Edmunds, Teitelbaum, & Gleason, 2000; Kenney, Haley, & Ullman, 1999).
With regards to child care services, several studies conducted on the national and local levels have focused on how families were managing their need for care while either remaining on waiting lists for available slots or while waiting for child care subsidies to pay for care. These studies found that families on waiting lists reflected an unmet need, and often made compromises by using other family members and neighbors as care providers (Casper, 1996; Coonerty & Levy, 1998), sometimes accepting a lower quality of child care than they would have liked (Coonerty & Levy, 1998). In turn, many of the families that were having to pay for care while waiting for subsidies were putting themselves in a risky financial position by going into serious debt (Armson, 1999; Coonerty & Levy, 1998).
Some recent studies have taken a more focused look at Head Start-eligible families. Examining a sample of families taken from the National Child Care Survey of 1990, Hofferth (1994) investigated the characteristics of families who enrolled in Head Start and those who did not. Hofferth noted that a number of factors were associated with a child’s Head Start enrollment, including the education of the mother, race of the child, geographic region, enrollment of the household head in a training program, and standard of living, as well as the supply of child care available in the family’s county of residence. She also noted that the children most likely to be enrolled in Head Start were those living with unemployed parents. Of the 3- to 5-year-old children not enrolled in Head Start, only about one quarter were enrolled in a center-based child care program, with parent or relative care being the most likely options for their children. Among the eligible families, children from the families with the lowest incomes were about as likely to be enrolled in Head Start as children from families with the highest incomes. Parents with children in Head Start also were more likely to have used multiple services than parents who did not enroll their children in Head Start. The implication of this is that the unmet need for many of these non-enrolled families may extend beyond the help Head Start can provide by itself.
Economic disadvantages of the types encountered by Head Start-eligible families have been associated with problems in children’s cognitive and emotional development, as well as with problem behaviors (Huston, McLoyd, & Garcia, 1997; McLoyd, 1998; Vandivere, Moore, & Brown, 2000). Using the Panel Study of Income Dynamics (PSID), Foster (in press) recently examined data collected in the early 1990's, focusing on Head Start-eligible families and the presence of four key disadvantages for those families: poverty, welfare receipt, female head of household, and parental joblessness. He reported that the level of disadvantage was high among enrolled families, particularly among African-American families. In a comparison of enrolled and eligible, non-enrolled families, Foster found that in spite of similarities in neighborhood characteristics, the children from non-enrolled families encountered an even greater number of disadvantages. He noted that this difference has been in gradual decline over time, suggesting that Head Start may be reaching more of the disadvantaged families it is targeting.
In a recent, unpublished paper, Nord (1999) compared data describing Head Start children and families collected for the Head Start FACES study, with data gathered during the March 1997 Current Population Survey (CPS). The CPS describes the characteristics of and their families. When comparing Head Start children with poor children from the general population, the Head Start children were more likely to live in two-parent families findings noted earlier. Head Start children were more likely than poor 3- to 5- year olds to have had a mother with at least some college experience, to have a mother who worked full families that received welfare and food stamps. The author concluded, with appropriate caution, that Head Start children may be somewhat better off than other poor children, and being reached by Head Start, particularly citing the children who lived in single-parent families with parents who had a low education.
Finally, in a study of Head Start recruitment and enrollment efforts, Love and Grover (1987) examined how Head Start programs from a range of communities attempted to meet the challenge of providing services to the most needy children within the targeted low-income population in their service area. In addressing the issues, the following key findings were reported:
-
While there was wide variation among programs, there appeared to be considerable evidence that many programs used intensive outreach and recruitment efforts to recruit the most needy families, and that large proportions of the eligible population were being served.
-
While many programs structured their services to meet what Head Start perceived as the needs of the families in their communities, some families did not enroll or dropped out because they did not see the program meeting their specific needs.
-
When defining “need,” programs’ criteria generally focused on family income; however, programs also considered other factors such as family problems, disabilities and health problems.
-
While half of all drop-outs resulted from family mobility, programs believed that more families could be retained if additional services or longer program days could be provided.
-
If the proportion of enrollees in the “most needy” category increased, programs would likely need additional staff, additional resources to assist multiple-problem families, reconstruction of handicapped accessible facilities, and additional recruitment costs.
Love and Grover (1987) also concluded that “need” is not a straight-forward concept. The diversity of needs staff reported for low-income populations suggested that the criteria for establishing need went well beyond family income. Head Start programs often addressed this by preparing to meet the variety of economic, social, and emotional needs among the families that were enrolled, but this had implications for recruitment by putting the focus on families Head Start could help.
2.2 Head Start PIR
The Head Start Program Information Report (PIR) contains self-report data from every Head Start program. Collected annually, these reports are the only single source of information from all Head Start programs. Data are reported at the program-level, with very limited information on families. For this study, information on proportions of children 1) leaving the program before attending classes, 2) leaving the program at any point after classes began, and 3) remaining in the program for less than 45 days after enrollment was examined. Information is also presented on the percentage of drop-outs replaced during the year and those replaced within 30 days.
The analysis of the PIR was completed using data from the 1993-94, 1995-96, and 1997-98 program years. A total of 1,565 programs, serving children aged 3 years and older, were in operation and reported data for all three of these years. During this period, the average number of children served (aged 3 years and older only) increased 13% per program. The largest percentage increases were for programs in the Western region (19.7%), while the smallest growth was observed in the Midwest (8.3%). The numbers presented in the following exhibits represent the unweighted mean percentages (and standard deviations) as reported across programs.
Exhibit 2-1 contains information regarding the mean percentages across programs of children who left their program before classes or home visits began. This information was not included in the 1997-98 PIR. Each year, about 4% of children left their program after receiving some services (such as health screenings, family needs assessments, etc.), but before the child actually attended classes or received a home visit. The percentages were slightly higher in urban programs (about 5%) than in rural programs (about 3%) and were generally higher in the Northeast (about 5%) and Midwest (just over 6%) than in the South (less than 3%) and West (just over 3%).
| Number of Programs* |
1994 | 1996 | 1998 | |
|---|---|---|---|---|
| Overall | 1565 | 4.0 (7.5) | 4.1 (7.6) | - - - |
| Rural | 688 | 2.6 (6.0) | 3.2 (6.2) | - - - |
| Urban | 877 | 5.0 (8.7) | 4.8 (8.7) | - - - |
| Northeast | 412 | 4.8 (8.7) | 5.5 (9.2) | - - - |
| South | 559 | 2.0 (4.5) | 2.6 (6.6) | - - - |
| Midwest | 319 | 6.6 (11.0) | 6.0 (7.2) | - - - |
| West | 275 | 3.7 (7.5) | 2.8 (7.5) | - - - |
| * Only programs in existence in all years are included in the analysis (that is, programs initiated or defunded after 1994 were removed from the database) |
Exhibit 2-2 contains information regarding the mean percentages of children who left Head Start anytime during the program year. Across all programs, these percentages increased slightly over the period examined, from 13.7% to 14.6%. The percentages for each year were similar across urban programs and rural programs. Again, mean program dropout rates were generally higher in the Northeast and West regions (typically above 15%) than in the South and Midwest regions (14% or less).
| Number of Programs* |
1994 | 1996 | 1998 | |
|---|---|---|---|---|
| Overall | 1565 | 13.7 (6.7) | 14.5 (6.4) | 14.6 (6.5) |
| Rural | 688 | 13.3 (6.5) | 14.2 (5.9) | 14.5 (6.2) |
| Urban | 877 | 13.9 (6.8) | 14.8 (6.8) | 14.8 (6.7) |
| Northeast | 412 | 15.0 (7.5) | 16.1 (6.6) | 16.4 (6.4) |
| South | 559 | 11.9 (5.0) | 12.7 (6.2) | 12.9 (6.6) |
| Midwest | 319 | 13.3 (7.8) | 14.0 (6.8) | 13.7 (6.5) |
| West | 275 | 15.6 (6.3) | 16.8 (6.1) | 16.6 (6.4) |
| * Only programs in existence in all years are included in the analysis (that is, programs initiated or defunded after 1994 were removed from the database) |
Exhibit 2-3 indicates the mean proportions of children who left the program before 45 program-days elapsed, considering only those children who attended at least some classes. This 45 program-day period may vary for some children, as it begins with a child’s first day, not necessarily the first day of the program year. Overall, these percentages declined from 6.3% in 1993-94 to 4.7% in both 1995-96 and 1997-98, a pattern that was reflected in both the urban and rural subsamples. In 1993-94, only the Southern region lost less than 6.0% of enrolled children in less than 45 program-days, while the rates were generally higher in the West (7.4%) and Northeast (6.9%). By 1997-98, all regions were losing less than 6.0% of their children, while programs in the South and West reported losing less than 4.5% of the children during the first 45 days.
| Number of Programs* |
1994 | 1996 | 1998 | |
|---|---|---|---|---|
| Overall | 1565 | 6.3 (4.5) | 4.7 (4.3) | 4.7 (3.5) |
| Rural | 688 | 6.2 (5.1) | 4.6 (4.7) | 4.6 (3.3) |
| Urban | 877 | 6.4 (4.0) | 4.8 (4.1) | 4.7 (3.6) |
| Northeast | 412 | 6.9 (5.1) | 5.5 (6.3) | 5.2 (3.6) |
| South | 559 | 5.4 (4.1) | 4.0 (3.3) | 4.3 (3.4) |
| Midwest | 319 | 6.1 (4.8) | 4.1 (3.7) | 4.2 (3.3) |
| West | 275 | 7.4 (3.8) | 5.7 (4.1) | 5.5 (3.5) |
| * Only programs in existence in all years are included in the analysis (that is, programs initiated or defunded after 1994 were removed from the database) |
As noted earlier, the PIR data do not include family-level data and, therefore, provide no insights into why these families left the program (either before or after the start of classes). Overall, the means do not suggest any strong patterns of differences based on urbanicity or geographic region.
The final two PIR exhibits contain information about the replacement of program drop-outs. Exhibit 2-4 indicates the mean percentages of drop-out children who were replaced during the program year (ranging from 85.6% to 88.0% over the years examined), while Exhibit 2-5 presents the mean percentages of those replacements that were completed within 30 days or less (approximately 94% in each year). In both 1995-96 and 1997-98, programs in urban areas seemed to have slightly greater success at replacing drop-outs than rural programs (88.0% versus 84.9%). During the time frame, programs in the Northeast became increasingly less successful in replacement (declining from 85.4% to 80.9%), while programs in the South became increasingly more successful (80.2% in 1993-94 to 86.8% in 1997-98). Programs in all regions, and in both rural and urban areas, consistently completed between 95.3% and 91.1% of their replacements within 30 days.
| Number of Programs* |
1994 | 1996 | 1998 | |
|---|---|---|---|---|
| Overall | 1565 | 85.6 (6.4) | 88.0 (6.0) | 86.6 (6.0) |
| Rural | 688 | 85.3 (5.6) | 86.0 (5.2) | 84.9 (5.4) |
| Urban | 877 | 85.8 (6.8) | 89.6 (6.6) | 88.0 (6.5) |
| Northeast | 412 | 85.4 (6.2) | 83.0 (6.0) | 80.9 (6.3) |
| South | 559 | 80.2 (5.4) | 87.9 (5.2) | 86.8 (5.6) |
| Midwest | 319 | 91.9 (6.8) | 92.0 (6.3) | 89.4 (6.1) |
| West | 275 | 89.7 (6.9) | 91.1 (6.1) | 91.5 (6.0) |
| * Only programs in existence in all years are included in the analysis (that is, programs initiated or defunded after 1994 were removed from the database) |
| Number of Programs* |
1994 | 1996 | 1998 | |
|---|---|---|---|---|
| Overall | 1565 | 94.6 (4.6) | 93.5 (4.8) | 93.5 (4.5) |
| Rural | 688 | 94.5 (4.5) | 93.5 (4.2) | 93.7 (4.2) |
| Urban | 877 | 94.6 (4.6) | 93.4 (5.2) | 93.3 (4.7) |
| Northeast | 412 | 93.9 (4.5) | 92.2 (4.7) | 93.2 (4.4) |
| South | 559 | 94.7 (4.1) | 94.9 (4.8) | 94.1 (4.6) |
| Midwest | 319 | 94.9 (4.8) | 91.3 (4.9) | 91.1 (4.5) |
| West | 275 | 94.9 (4.2) | 95.0 (4.3) | 95.3 (4.4) |
| * Only programs in existence in all years are included in the analysis (that is, programs initiated or defunded after 1994 were removed from the database) |
Overall, while the universe of Head Start programs is generally successful in quickly replacing children who leave the program, the mean percentages presented in Exhibit 2.4 suggest that additional insights are needed regarding retention and the use of waiting lists by Head Start. The perspectives of program staff on these particular issues are reported in Chapter 3.
2.3 Head Start FACES Program Drop Reports and Parent Exit Interviews
During the periods of the fall of 1997 through the spring of 1999, data were collected on a sample children who dropped out from the 40 Head Start programs participating in FACES. Program Drop Reports, completed by staff at each of the FACES sites, were received for a total of 611 children. Of the 611 sample children who dropped out from the program, 47% were male and 53% were female. Approximately 34% attended Head Start in the morning only, 24% in the afternoon only, and 32% attended Head Start for six hours or more daily. The most frequent reason staff reported for a child dropping out of the program was that the family had moved (42.1%). When sample children were reported to have dropped from the program, FACES interviewers attempted to conduct an exit interview with their primary caregivers. Only a small proportion of the families that had moved could be located and interviewed. Among the families who were contacted, a total of 156 exit interviews were completed. Therefore, exit interviews were conducted with 25.5% of parents of all sample children who dropped out of the programs, and 44.1% of the children who according to staff left the program early for a reason other than a family relocation.
2.3.1 Reasons for Leaving Head Start.
While a family move was the most frequent reason cited by program staff for a family leaving Head Start (42.1%), the other frequently noted reason was that the child moved to another program or kindergarten (23.3%). The following reasons were cited by less than 8% of the respondents: poor attendance, family or personal problems, transportation problems, and scheduling conflicts (Exhibit 2-6). Programs very rarely reported that a child was withdrawn due to parental dissatisfaction with one or more elements of the program.
These results were largely confirmed by primary caregivers participating in exit interviews. Among the 156 families for whom exit interviews were completed and no relocation had taken place, frequently noted reasons for leaving Head Start were: 1) transferred to another program (38.2%), 2) transportation problems (29.5%), 3) parent problems with the program (15.2%), usually difficulties with a staff member, and 4) a child’s refusal to attend (6.8%). Poor attendance, family and personal problems, and scheduling conflicts were rarely mentioned (each less than 8%).
Although the exit interview sample was not large enough to support strong conclusions, the differences between staff drop-out reports and parent exit interviews for families leaving but not relocating indicated that neither respondent group reported many issues that reflected negatively on Head Start. It seems possible that Head Start staff may have underestimated both transportation difficulties and parent dissatisfaction with some element of the program as reasons parents had for withdrawing their children from the program. Parents, on the other hand, were less likely than staff to report the withdrawal of their child due to family or personal problems or because of poor attendance. In this case, program staff seemed more likely to put the responsibility on parents, while parents were more likely to cite program deficiencies.
| Reason for Withdrawal from Head Start |
All children leaving the program | Percentage of children leaving for a reason other than family relocation | |
|---|---|---|---|
| Reported by Head Start
staff (N = 611) % |
Reported by Head Start staff (N = 354) % |
Reported by parents (N = 156) % |
|
| Family relocation | 42.1 | - | _ _ _ |
| Changed program or entered kindergarten | 23.3 | 40.3 | 38.2 |
| Poor attendance | 7.3 | 12.7 | 1.7 |
| Family/personal problems | 6.3 | 10.8 | 0.9 |
| Transportation problems | 5.6 | 9.6 | 29.5 |
| Parent scheduling conflicts with work or school | 4.5 | 7.8 | 3.5 |
| Dissatisfaction with program | 4.2 | 7.2 | 15.2 |
| Child maturity/refusal to attend | 0.0 | 0.0 | 6.8 |
| Other/not specified | 6.7 | 11.5 | 4.2 |
2.3.2 Satisfaction with Head Start.
Satisfaction with the program has been repeatedly reported to be very high among parents with children attending Head Start (ASCI, 1999), and interviews conducted with parents of children in the FACES sample in the spring of 1997, 1998, and 1999 confirmed these findings. However, the exit interviews were conducted, in part, to explore the possibility that parents of children who left the program may have less favorable views of Head Start. As shown in Exhibit 2-7, the parents of children who withdrew from the program were generally satisfied with Head Start. Nevertheless, the percentages of parents reporting dissatisfaction was higher for each issue addressed in the interview than the percentages reported by the parents of children who remained in the program (Exhibit 2-8).
| How satisfied are you with
how well Head Start is. |
Very dissatisfied % |
Somewhat dissatisfied % |
Somewhat satisfied % |
Very Satisfied % |
Don't Know % |
|---|---|---|---|---|---|
| Helping child to grow and develop | 9.3 | 4.7 | 20.0 | 64.0 | 2.0 |
| Open to your ideas and participation | 4.7 | 2.7 | 18.0 | 70.7 | 4.0 |
| Supporting and
respecting your family's culture and background |
5.3 | 0.7 | 8.7 | 83.3 | 2.0 |
| Identifying and
providing services for child - for example, health screening, help with speech and language development |
2.7 | 1.3 | 12.7 | 76.0 | 7.3 |
| Identifying and
helping to provide services that help your family-for example, public assistance, transportation, or job training |
8.7 | 9.4 | 10.7 | 49.0 | 22.1 |
| Maintaining a
safe program - for example, secure playgrounds, clean and tidy classrooms |
2.7 | 2.7 | 8.7 | 84.7 | 1.3 |
| Preparing child to enter kindergarten | 13.3 | 5.3 | 11.3 | 63.3 | 6.7 |
| Helping you become more involved in groups that are active in your community | 6.0 | 2.0 | 16.7 | 49.3 | 26.0 |
| How satisfied are you with how well Head Start is. | Parents of children withdrawn from the program (N = 156) % |
Parents of children remaining in the program (FACES Spring, 1998 N = 2,688) % |
|---|---|---|
| Helping child to grow and develop | 14.0 | 1.9 |
| Open to your ideas and participation | 7.4 | 2.1 |
| Supporting and respecting your family's culture and background | 6.0 | 1.3 |
| Identifying and providing services for child- for example, health screening, help with speech and language development | 4.0 | 1.6 |
| Identifying and helping to provide services that help your family-for example, public assistance, transportation, or job training | 18.1 | 3.3 |
| Maintaining a safe program-for example, secure playgrounds, clean and tidy classrooms | 5.4 | 2.0 |
| Preparing child to enter kindergarten | 18.6 | 2.6 |
| Helping you become more involved in groups that are active in your community | 8.0 | 3.1 |
The areas of greatest dissatisfaction among primary caregivers of children withdrawn from Head Start involved child development services (helping child to grow and develop, preparing child for kindergarten) and identifying and facilitating family services from community agencies. In each of these areas, nearly one in six parents of children withdrawn from the program indicated dissatisfaction with Head Start. Comments from the parents who expressed dissatisfaction generally indicated that the program did not meet their expectations. While this is not a large sample, the sample participating in the exit interviews do reflect perceptions among a minority of families that Head Start services could be improved.
2.4 Head Start FACES Staff: Social Service Coordinators and Center Directors
As part of the FACES data collection, several staff members were interviewed at each program. In particular, Social Service Coordinators (N = 40) and Center Directors (N = 123) were asked several questions about enrollment and waiting list activities. Their responses are summarized below.
2.4.1 Social Service Coordinators.
All of the 40 Social Service Coordinators (SSCs) who were interviewed indicated that their program had a list of families waiting to enter Head Start, and 38 of these programs maintained these waiting lists at individual centers (Exhibit 2-9). The SSCs reported information from a program-wide perspective. For the 33 SSCs who provided an actual waiting list size for their program, the average was 374 children; however, this figure was greatly impacted by four large programs. The median size of the program waiting lists was just over 100 children per program. For the 29 SSCs reporting the percentage of children who were enrolled from their waiting list, the average was 146 children, or just under 40% of the reported waiting lists. The median percentage enrolled was about 55%, with higher proportions generally reported for smaller programs.
| Prog | Funded Enrollment (1996) |
Wait List Size |
Number Enrolled from List |
Percent Enrolled by Program |
|---|---|---|---|---|
| 1 | 218 | 45 | 25 | 55.6 |
| 2 | 1163 | 300 | 200 | 66.7 |
| 3 | 607 | 126 | - - - | - - - |
| 4 | 511 | 180 | 45 | 25.0 |
| 5 | 4376 | 1200 | 300 | 25.0 |
| 6 | 1124 | 30 | 15 | 50.0 |
| 7 | 2685 | 162 | 162 | 100.0 |
| 8 | 371 | 171 | 78 | 45.6 |
| 9 | 786 | 40 | 10 | 25.0 |
| 10 | 458 | dk | - - - | - - - |
| 11 | 243 | 34 | 19 | 55.9 |
| 12 | 2153 | 300 | 150 | 50.0 |
| 13 | 314 | DK | - - - | - - - |
| 14 | 215 | 65 | 35 | 53.8 |
| 15 | 1075 | 50 | 50 | 100.0 |
| 16 | 278 | 45 | 30 | 66.7 |
| 17 | 1994 | 3000 | 1000 | 33.3 |
| 18 | 3968 | DK | - - - | - - - |
| 19 | 356 | 35 | 14 | 40.0 |
| 20 | 189 | 25 | - - - | - - - |
| 21 | 422 | 167 | 2 | 1.2 |
| 22 | 1514 | DK | - - - | - - - |
| 23 | 292 | 130 | 40 | 30.7 |
| 24 | 214 | 30 | 27 | 90.0 |
| 25 | 737 | 150 | 100 | 66.7 |
| 26 | 1195 | 250 | 150 | 60.0 |
| 27 | 240 | 100 | 20 | 20.0 |
| 28 | 578 | 30 | 30 | 100.0 |
| 29 | 542 | 50 | 50 | 100.0 |
| 30 | 1140 | DK | - - - | - - - |
| 31 | 1080 | DK | - - - | - - - |
| 32 | 1023 | DK | - - - | - - - |
| 33 | 246 | 172 | 70 | 5.8 |
| 34 | 460 | 4000 | 1000 | 25.0 |
| 35 | 381 | 25 | 25 | 100.0 |
| 36 | 635 | 66 | 50 | 75.8 |
| 37 | 368 | 45 | 45 | 100.0 |
| 38 | 662 | 240 | - - - | - - - |
| 39 | 3171 | 678 | 384 | 56.6 |
| 40 | 212 | 450 | - - - | - - - |
| Wait List Totals |
N = 33 Mean = 374 S.D. = 827.8 |
Number Enrolled From Wait List |
N = 29 Mean = 146 S.D. = 250.7 |
2.4.2 Center Directors.
Each Center Director reported information for his/her center only, and within programs, only those centers participating in Head Start FACES are represented. Of the 123 Center Directors (CDs) reporting, 83% reported having a center-specific waiting list (Exhibit 2-10). Of those CDs reporting the waiting list size for their centers, the number of children on these lists ranged from 2 to 71 names (mean = 22.4; median = 20).
| Program | Centers without wait list |
Centers with wait list |
Wait List Size |
|---|---|---|---|
| 1 | 0 | 4 | 5,5,15,-- |
| 2 | 3 | 1 | |
| 3 | 0 | 3 | 28,-.-- |
| 4 | 0 | 4 | 3,5,-,-- |
| 5 | 0 | 3 | 8,25,54 |
| 6 | 0 | 1 | |
| 7 | 2 | 1 | |
| 8 | 2 | 2 | 6,-- |
| 9 | 3 | 1 | |
| 10 | 0 | 4 | 4,4,5,-- |
| 11 | 1 | 3 | 6,20,-- |
| 12 | 1 | 0 | |
| 13 | 0 | 4 | 14,30,40,50 |
| 14 | 0 | 3 | 20,30,-- |
| 15 | 0 | 3 | 24,71,-- |
| 16 | 1 | 3 | 3,4,7 |
| 17 | 0 | 4 | 6,10,25,30 |
| 18 | 0 | 4 | 30,-,-,-- |
| 19 | 0 | 1 | 35 |
| 20 | 0 | 1 | 22 |
| 21 | 0 | 2 | 20,40 |
| 22 | 0 | 3 | 3,-,-- |
| 23 | 0 | 3 | -,-,-- |
| 24 | 0 | 0 | |
| 25 | 1 | 2 | 6,10 |
| 26 | 1 | 3 | 30,-,-- |
| 27 | 0 | 4 | -,-,-,-- |
| 28 | 2 | 2 | 5,10 |
| 29 | 1 | 2 | 30,-- |
| 30 | 0 | 4 | 8,19,20,50 |
| 31 | 0 | 4 | 2,30,43,65 |
| 32 | 1 | 0 | |
| 33 | 0 | 3 | -,-,-- |
| 34 | 1 | 3 | 7,50,60 |
| 35 | 1 | 3 | 30,-,-- |
| 36 | 0 | 4 | 50,-,-,-- |
| 37 | 0 | 4 | 5,5,12,60 |
| 38 | 0 | 2 | 15,-- |
| 39 | 0 | 4 | 39,40,50,-- |
| 40 | 0 | 0 |
| Centers | Wait List Sizes |
|
|
2.5 Family/Household Databases Overview
In order to learn what might be known regarding the differences between enrolled and non-enrolled eligible families, project staff reviewed three existing national databases. The project team and expert consultants determined that the following datasets would be targeted: The National Longitudinal Study of Youth 1979 (NLSY79), the Survey of Income and Program Participation (SIPP), and the Panel Survey of Income Dynamics (PSID). These datasets were selected because they offered some comparability along several dimensions with data collected during the FACES study, and, most importantly, each contained a variable identifying Head Start participation by a 3- to 5-year-old child. The focus in this review was on examining information regarding the following: family description, education, employment, family income and program participation, housing, health status and insurance coverage, and child care arrangements.
While each dataset has strengths in describing particular characteristics of the families of interest, collectively, their inherent differences do not allow direct comparisons across datasets, or with the FACES data. For example, these datasets do not all report upon the same time period. A second, and perhaps more important example, is that while FACES collected data on the characteristics of the primary caregiver, the target respondent was not consistent across these datasets. The person whose characteristics were reported upon in each datasets was:
-
FACES - the primary caregiver of the child,
-
NLSY79 – the mother of the child,
-
SIPP – the designated parent or guardian of the child (as reported by the SIPP respondent), and
-
PSID – the head of the household.
Such distinctions are critical, and caution is advised with regards to making direct comparisons across datasets. A detailed description of each of these datasets is provided in Appendix A.
2.5.1 Findings From the Datasets
The presentation of weighted findings from each dataset is accompanied by an exhibit highlighting the findings from that dataset. Each exhibit has six data columns. The first contains data for all families with 3- to 5-year-old children in the sample. The second column features unweighted data from the Head Start FACES baseline data collection, which serves as a point of reference for other Head Start findings. The third column focuses on weighted data for all families in the dataset reporting a Head Start child. The second set of three columns contain weighted data only for families determined to be eligible for Head Start. In cases where the dataset did not have a variable matching Head Start FACES and at least one other dataset, the variable remains in the exhibit with a line indicating no data were available.
Since the purpose of the study is to learn more about eligible non-enrolled families, this discussion focuses on the two right-most columns in the accompanying exhibits, presenting the characteristics of eligible enrolled and non-enrolled families (significant differences between the groups at p < .05 are noted in the exhibits). Head Start eligibility was determined by applying the income and other program participation criteria specified in the Head Start regulations. A discussion of the Head Start criteria for program eligibility, along with a copy of the 1996 Head Start Family Income Guidelines memorandum is presented in Appendix B.
In reviewing the exhibits that follow, note that the first set of columns represents findings on all children, and all children reported to be enrolled in Head Start, without selection based on Head Start eligibility. This group may include over-income families who have enrolled children with disabilities or some other special needs, as well as families who passed the income criteria between the time of Head Start enrollment and their response during the data collection for the survey in which they are participating. This is to say that responses to the surveys may not reflect levels of a family’s need as recorded by Head Start at the time of that family’s enrollment.
For the NLSY79 and the SIPP, sample characteristics were estimated using person-level weights that were provided with each dataset. The weights for the SIPP were constructed using Current Population Survey (CPS) estimates of the non-institutionalized United States population by age, gender, race and Hispanic ethnicity. The CPS estimates were derived from data collected as part of the 1990 decennial Census. The NLSY79 child weights are based on the NLSY79 mother weights, which were derived from the CPS of 1978 (the original sample was drawn in 1979 and included young people living in the United States that were between the ages of 14 and 21 as of December 31, 1978). Child weights were adjusted to account for differences in age, race and gender. Finally, the weights provided with the PSID were based on a combination of factors: 1) an adjustment for differences in sample selection probabilities for sample individuals and families; 2) an adjustment for non-response attrition and death; and 3) an adjustment to post-stratify weighted sample distributions for demographic and household variables to population values measured in the 1990 decennial Census and the CPS.
Unweighted findings from the nationally representative Head Start FACES study are referenced in each of the specific dataset discussions, serving as a context for interpreting the findings presented for that dataset. The shaded column in the tables contains Head Start FACES baseline data collected in the fall of 1997.
NLSY79. Exhibit 2-11 presents findings from all children age 3- to 5-years old and for the Head Start-eligible children in the NLSY79 sample. The family composition of enrolled and non-enrolled families was similar, with each having a mean of 4.5 family members, but with enrolled families reporting slightly more children under 18 years of age (3.3 compared with 3.0). Significantly higher percentages of White (non-Hispanic) and Black (non-Hispanic) children were in the enrolled group, which subsequently had significantly fewer American Indian, Eskimo, Aleut, and Hispanic children than the non-enrolled group. Among FACES respondents, Black (non-Hispanic) children comprised the largest component (36.9%) of the sample.
The original cohort of women included in the NLSY79 was between the ages of 14 and 21 years of age on January 1, 1979, and, consequently, was between the ages of 31 and 38 during the 1996 survey period. The mean age of these women, 34.6 years, was the same for both groups. A significantly lower percentage of women in enrolled families was married, while the non-enrolled families included significantly fewer formerly or never married women. The mean age of the primary caregivers responding to the FACES survey was 29.7 years, and just under half (42.7%) were married.
A significantly lower percentage of mothers from enrolled families (33.6%) had a high school diploma than did mothers from non-enrolled families (35.4%), while significantly more of the mothers in the enrolled group had some college education. The level of educational attainment for Head Start FACES respondents was similar to that of the enrolled and the non-enrolled NLSY79 respondents. With regards to ongoing education, approximately 3.6% of mothers from non-enrolled families were currently in school or training, significantly greater than the 3.0% of mothers from enrolled families who reported that they were receiving ongoing education. By contrast, almost one quarter (22.8%) of the FACES respondents were in school or training at the time of their interview.
While two thirds of the mothers from enrolled families (67.3%) reported being either unemployed or not in the labor force, compared with 61.0% among the mothers from non-enrolled families, significantly more of the mothers from enrolled families (26.7%) reported full-time employment than their non-enrolled counterparts (23.9%). Approximately one third of NLSY79 mothers from enrolled (32.6%) and non-enrolled (35.3%) families reported full- or part-time employment, and over half (51.8%) of FACES respondents were fully- or partially- employed.
Although the mean annual family income was higher for enrolled families than non-enrolled families ($12,593 vs. $11,296), this difference was not statistically significant. The median income was less for enrolled families ($8,748 vs. $10,368). When family income was compared against the Federal Poverty Level (FPL), substantial proportions of both enrolled (80.2%) and non-enrolled (84.1%) families reported incomes less than the FPL. This was to be expected since the FPL is a major factor in determining Head Start eligibility. A significantly greater proportion of non-enrolled families (41.7%), however, reported family incomes less than 50% of the FPL than did enrolled families (23.4%). While just over one half (53.8%; 16.9% below 50% of the FPL) of the FACES respondents reported incomes below the FPL, the FACES data were based on the incomes of all those living in the household.
In general, significantly larger proportions of enrolled families reported participation in Federal support programs, i.e., Aid to Families with Dependent Children (AFDC), Women, Infants, and Children (WIC) nutrition program, food stamps, and public/subsidized housing programs. The exception to this was that significantly more non-enrolled families reported receiving Supplemental Security Income (SSI). Head Start FACES families generally reported lower rates of participation in these family support programs than enrolled families in the NLYS79.
Significantly more enrolled families reported child health insurance coverage, especially Medicaid (81.7%), than non-enrolled families (57.3%), and although the percentages were very low, a significantly lower percentage of enrolled families reported their Head Start children had a disability. This is particularly surprising, given Head Start’s focus on enrolling disabled children and on screening all enrolled children.
The picture that emerges from the NLSY79 data is that fewer married and formerly married women have children participating in Head Start, a larger proportion of non-enrolled mothers report incomes less than 50% of the FPL, and enrolled families generally report more participation in Federal support programs (e.g., AFDC, WIC) than do non-enrolled families. The NLSY79 data do not answer the question of whether these differences reflect the efforts of Head Start. It must be remembered, however, that the NLSY79 data are not representative of all American women. They are representative of a national sample of women who were between the ages of 31 and 38 on January 1, 1996.
| Dataset: NLSY79 Children: 1996 Survey (Weighted) | ||||||
|---|---|---|---|---|---|---|
| (Numbers in thousands) | All Children Age Age 3- to 5-years |
Head Start Eligible
Children Age 3- to 5-years |
||||
| Characteristic | Total (n = 4,445) |
FACES Fall 1997 (n = 3,156) |
Enrolled
in Head Start (n = 184) |
Total (n = 609) |
Enrolled
in Head Start (n = 108) |
Not enrolled in Head Start (n = 500) |
| Family Description | ||||||
| Number in household 12 | ||||||
| Number in family | Mean = 4.3 | Mean = 4.5 | Mean = 4.4 | Mean = 4.5 | Mean = 4.5 | Mean = 4.5 |
| Number of children under 18 years | Mean = 2.4 | Mean = 2.6 | Mean = 2.9 | Mean = 3.0 | Mean = 3.3 | Mean = 3.0 |
| Child race or ethnicity | ||||||
| White (non-Hispanic) | 75.9% | 27.7% | 49.8% | 44.7% | 48.3% | *43.9% |
| Black (non-Hispanic) | 10.9 | 36.9 | 33.5 | 34.4 | 42.6 | *32.7 |
| American Indian, Eskimo, Aleut | 5.7 | 1.9 | 7.2 | 10.8 | 5.9 | *11.8 |
| Asian or Pacific Islander | 0.4 | 1.1 | 0.0 | 0.0 | 0.0 | 0.0 |
| Hispanic | 6.2 | 24.2 | 9.5 | 10.1 | 3.2 | *11.6 |
| Age of primary caregiver13 | ||||||
| Less than 20 years | 2.4% | |||||
| 20-29 years | 59.3 | |||||
| 30-39 years | 29.0 | |||||
| 40 years and older | 9.3 | |||||
| Mean=34.5 | Mean =29.7 | Mean=34.3 | Mean=34.6 | Mean=34.6 | Mean=34.6 | |
| Median =28.0 | ||||||
| Marital status | ||||||
| Married | 79.9% | 42.2% | 31.8% | 26.2% | 12.5% | * 29.1% |
| Formerly married | 13.0 | 21.3 | 45.4 | 42.4 | 52.5 | *40.2 |
| Never married | 7.9 | 36.0 | 22.8 | 31.4 | 35.0 | *32.7 |
| Education | ||||||
| Primary caregiver's education14 | ||||||
| Less than high school diploma | 11.1% | 27.6% | 32.0% | 33.1% | 30.9% | *33.6% |
| High school diploma/GED | 32.1 | 36.5 | 33.9 | 35.0 | 33.6 | *35.4 |
| Some college | 56.6 | 33.5 | 34.1 | 31.5 | 35.5 | * 30.6 |
| Bachelor's degree or higher | --------- | 2.8 | --------- | --------- | --------- | --------- |
| Currently in school or training | 4.4% | 22.8% | 2.5% | 3.5% | 3.0% | *3.6% |
| Employment | ||||||
| Employment status15 | ||||||
| Employed: Full-time | 46.0% | 34.4% | 41.7% | 24.4% | 26.7% | *23.9% |
| Employed: Part-time | 16.4 | 17.4 | 9.8 | 10.4 | 5.9 | *11.4 |
| Unemployed | 3.6 | 19.7 | 8.9 | 10.0 | 14.1 | *9.1 |
| Not in labor force | 31.9 | 28.0 | 39.6 | 52.2 | 53.2 | *51.9 |
| Multiple jobs concurrently | 1.6% | 3.9% | 0.0% | 0.5% | 0.0% | 0.5% |
| Family Income and Program Participation | ||||||
| Total family annual income16 | ||||||
| Mean | $78,436 | $14,907 | $19,876 | $11,522 | $12,593 | $11,296 |
| Median | $49,000 | $13,200 | $14,400 | $10,000 | $8,748 | $10,368 |
| Federal Poverty Level (FPL)17 | ||||||
| Income < 50% of FPL | 5.3% | 16.9% | 15.4% | 38.5% | 23.4% | *41.7% |
| Income btwn 50-99% of FPL | 6.1 | 36.9 | 37.5 | 44.9 | 56.8 | *42.4 |
| Income btwn 100- 199% of FPL | 15.7 | 36.2 | 25.4 | 12.3 | 12.3 | 12.3 |
| Income 200% or greater than FPL | 72.9 | 10.0 | 21.7 | 7.5 | 7.5 | *3.5 |
| Other sources of support | ||||||
| AFDC | 6.1% | 30.6% | 41.0% | 43.9% | 69.5% | *38.3% |
| Supplementary Security Income | 2.4 | 13.4 | 6.0 | 16.8 | 10.2 | *18.2 |
| WIC | 12.4 | 56.1 | 49.0 | 49.3 | 68.7 | *45.1 |
| Food Stamps | 9.1 | 50.2 | 49.3 | 55.6 | 80.2 | *50.2 |
| Housing | ||||||
| Public or subsidized Housing | 3.8% | 22.1% | 14.5% | 20.2% | 23.7% | *19.4% |
| Number of moves in previous 12 months18 | ||||||
| None | --------- | 64.3% | --------- | --------- | --------- | --------- |
| One or more | 35.2 | |||||
| Health Status/Insurance Coverage | ||||||
| Primary caregiver health status | ||||||
| Excellent | 21.3% | |||||
| Very good | --------- | 28.4 | --------- | --------- | --------- | --------- |
| Good | 33.8 | |||||
| Fair | 14.4 | |||||
| Poor | 2.2 | |||||
| Child health status | ||||||
| Excellent | 44.8% | |||||
| Very good | --------- | 30.5 | --------- | --------- | --------- | --------- |
| Good | ||||||

