This cohort study examines the association between a preschool to third grade intervention with educational attainment at midlife and differences by program duration, sex, and parental educational level.
Key Points
Question
Does participation in a large-scale, preschool to third grade intervention for economically disadvantaged children link to midlife educational attainment?
Findings
In a cohort study that followed up 1398 children to 35 years of age, 4 to 6 years of intervention was significantly associated with a 48% higher rate of degree completion (associate’s degree or higher) compared with lesser participation. Preschool participation was independently associated with most attainment outcomes, including years of education, with greater benefits for those whose mothers were high school dropouts.
Meaning
Multiyear, comprehensive preventive interventions beginning in early childhood can promote long-term educational success that contributes to positive health and economic outcomes.
Abstract
Importance
Educational attainment is the leading social determinant of health, but few studies of prevention programs have examined whether the programs are associated with educational attainment outcomes after the mid-20s, especially for large-scale programs that provide a longer duration of services.
Objective
To examine the association between a preschool to third grade intervention and educational attainment at midlife and differences by program duration, sex, and parental educational level.
Design, Setting, and Participants
This matched-group, alternative intervention study assessed 1539 low-income minority children born in 1979 or 1980 who grew up in high-poverty neighborhoods in Chicago, Illinois. The comparison group included 550 children primarily from randomly selected schools participating in the usual early intervention. A total of 989 children who entered preschool in 1983 or 1984 and completed kindergarten in 1986 were included in the Chicago Longitudinal Study and were followed up for 27 to 30 years after the end of a multicomponent intervention. A total of 1398 participants (90.8%) in the original sample had educational attainment records at 35 years of age. The study was performed from January 1, 2002, through May 31, 2015.
Interventions
The Child-Parent Center Program provides school-based educational enrichment and comprehensive family services from preschool to third grade (ages 3-9 years).
Main Outcomes and Measures
Educational outcomes from administrative records and self-report included school dropout, 4-year high school graduation, years of education, postsecondary credential, and earned degrees from associate’s to master’s or higher.
Results
A total of 1539 participants (mean [SD] age, 35.1 [0.32] years; 1423 [92.9%] black and 108 [7.1%] Hispanic) were included in the study. After weighting on 2 propensity scores, preschool participants had higher rates of postsecondary degree completion, including associate’s degree or higher (15.7% vs 10.7%; difference, 5.0%; 95% CI, 1.0%-9.0%), master’s degree (4.2% vs 1.5%; difference, 2.7%; 95% CI, 1.3%-4.1%), and years of education (12.81 vs 12.32; difference, 0.49; 95% CI, 0.20-0.77). Duration of participation showed a consistent linear association with outcomes. Compared with fewer years, preschool to second or third grade participation led to higher rates of associate’s degree or higher (18.5% vs 12.5%; difference, 6.0%; 95% CI, 1.0%-11.0%), bachelor’s degree (14.3% vs 8.2%; difference, 6.1%; 95% CI, 1.3%-10.9%), and master’s degree or higher (5.9% vs 2.3%; difference, 3.6%; 95% CI, 1.4%-5.9%). The pattern of benefits was robust and favored male participants for high school graduation, female participants for college attainment, and those from lower-educated households.
Conclusions and Relevance
This study indicates that an established early and continuing intervention is associated with higher midlife postsecondary attainment. Replication and extension of findings to other locations and populations should further strengthen confidence in the health benefits of large-scale preventive interventions.
Introduction
Because of its influence on a wide variety of life-course outcomes, educational attainment is arguably the most important long-term outcome of early childhood interventions (ECIs). Low educational attainment (ie, high school credential or less) is a major risk factor for all 7 health metrics of the American Heart Association (eg, hypertension, smoking, and obesity),1,2,3 economic disparities, criminal behavior, and mental health problems.4,5,6,7,8 For these reasons, educational attainment is the leading social determinant of health in Healthy People 2020.9 Early childhood interventions are one of the most promising and consequential of all prevention programs,10,11,12,13 but few, if any, studies have examined the entire spectrum of education from high school dropout to postsecondary success, primarily because of the lack of follow-up beyond 25 years of age, when continuing education is prevalent.
Findings are also inconsistent across studies,14,15,16,17,18,19 with some showing positive effects on high school graduation and/or college attendance and others showing no such effects, a mixed pattern favoring high school or college attainment but not both, and differences by sex or racial groups. Moreover, to our knowledge, no previous studies have assessed degree completion for large-scale, public programs after the mid-20s.
In the Perry Preschool Study,17 for example, program participants had significantly higher rates of high school graduation than controls, but no differences were observed for postsecondary degree attainment. The reverse pattern was found in the Carolina Abecedarian Project.18 Because of small sample sizes, no credible interpretations about subgroup associations were possible. A designed replication of the Abecedarian Project, the Infant Health and Development Program, found no differences in high school dropout.16 Other long-term follow-up studies, including of Head Start,15,19 have reported positive associations with educational attainment up to 25 years of age. Differences by sex vary across studies,17,18,19,20 but high-risk groups, including the most economically disadvantaged, have had greater benefits.13,20,21
Given the relatively small samples and limited number of programs analyzed in long-term follow-up studies, differences by child and family characteristics and for different dosages of intervention are underinvestigated.22,23 This limits the implications of findings for health promotion and economic mobility. Because postsecondary attainment for low-income, minority populations is not usually completed until the early 30s,24 midlife follow-up is essential for understanding impacts. Sex and family socioeconomic status moderate life-course outcomes.4,15,24
In our study, we assessed for the first time, to our knowledge, links between participation in the Child-Parent Center (CPC) program, a large-scale and multicomponent school-based ECI, and educational attainment at 35 years of age. We addressed whether (1) CPC program participation beginning at 3 or 4 years of age was linked to greater educational attainment, including postsecondary degree completion; (2) duration of participation up to 6 years was associated with greater attainment; and (3) increases were modified by sex and parental educational level. We hypothesized that earlier and continuing participation would link to attainment and that men and those whose parents had less education would show greater benefits.
Methods
Study Design
The Chicago Longitudinal Study (CLS) is a multisite, prospective investigation of CPC and early experiences on well-being across the life course.14,25,26 The study sample includes 1539 low-income, minority children born in 1979 or 1980 who grew up in high-poverty neighborhoods in Chicago, Illinois. In this matched-group, alternative-intervention design, all 989 children who entered preschool in 1983 or 1984 and completed kindergarten in 1986 from 20 CPCs were included. The same-age comparison group of 550 children was enrolled from 5 randomly selected Chicago public schools with alternative ECIs (full-day kindergarten; 15% with Head Start preschool) or 8 CPC sites without preschool experience. Previous reports25,26,27 have described the sampling, baseline characteristics, and design elements (eTable 1 and eTable 2 in the Supplement). All data collection procedures have been approved by the University of Minnesota Institutional Review Board. All participants provided written or oral informed consent, and all data were deidentified for analysis.
Because of living in high-poverty neighborhoods, children in this cohort were eligible for and participated in government-funded early childhood programs. Like most other studies of established programs, random assignment to the intervention was not possible and would have violated the legal rules that require enrollment of the neediest children on a first-come, first-serve basis.25,27 Data were collected from administrative records, schools, and families from birth to 35 years of age.
Intervention
Because the CPC program has been described in depth elsewhere,21,25,27 herein, we provide an overview. The CPC program is a school-based preventive intervention for preschool- and school-aged children in high-poverty neighborhoods that are not being otherwise served. The program is designed to promote children's school competence, especially school readiness, achievement, and family involvement in learning. Each center is colocated in a school or on school grounds and serves 100 to 150 children beginning in preschool who then matriculate to school-age services in the same location. Any child who visits a CPC site receives services. Participation age ranges from 1 to 6 years. In addition to a leadership team in each site, all teachers have bachelor’s degrees and are state certified (eMethods in the Supplement).
Major program elements include the following: (1) high-quality educational enrichment through reduced class sizes and a balance of teacher- and child-directed learning; (2) family support services that include participation in school activities, support groups and workshops, and home visits; and (3) comprehensive services that include nutritional and health supports (ie, subsidized meals, health screening, and speech therapy). Service continuity from preschool to third grade (ages 3-9 years) is a hallmark, thus providing a stable and predictable learning environment. The CPC program is being expanded as a multicomponent school reform model.28,29
Outcomes
The full spectrum of secondary and postsecondary education was assessed. All measures were dichotomous except years of education. Data were obtained from administrative records of various sources and were supplemented by interviews with youths and family members. For higher education, the National Student Clearinghouse was the primary source.30 More than 3600 public and private colleges, representing 98% of all students, report enrollment and graduation data. We used data collected from matched records from those reports and the Illinois Shared Enrollment and Graduation Consortium (now part of the National Student Clearinghouse) from January 1, 2002, to May 31, 2015 (mean age, 35.1 years) (eMethods in the Supplement). The amount and sources of information were similar among the intervention groups.
Secondary education was measured by 5 indicators: dropout by 16 years of age, 4-year graduation (earned diploma within 4 years of ninth grade entry), and 3 others, including high school completion (earned diploma or General Educational Development credential). Postsecondary education was measured by years of education (range, 7-22 years), college attendance (2 or 4 years), degree completion (associate’s and higher), and a credential (eg, occupational certificate) (eMethods in the Supplement).
Statistical Analysis
With use of methods of previous studies,14,21,25 outcomes were analyzed by probit and linear regression in Stata statistical software, version 14 (StataCorp).31 Findings are reported as means or percentages and group differences after adjusting for the influence of the covariates through inverse probability weighting (IPW).32,33 Inverse probability weighting adjusted for each individual’s propensity to enroll in the program (selection model) and to leave the study sample (attrition model) (eMethods in the Supplement). After major assumptions were corroborated, propensity scores for each model were estimated through probit regression, with the resulting values used as inverse weights to estimate associations.34 As a double adjustment, the weights were multiplied together.
Inverse probability weighting is a more flexible and comprehensive analytic approach than traditional covariate adjustment or matching and yields estimates with the lowest variances and SEs in large samples while correcting for potential biases.34,35 The covariates of the propensity scores were measured primarily between birth and 5 years of age, including family risk indicators, sex, race/ethnicity, and child welfare history. There were 17 covariates for the selection model and 26 for the attrition model (eTables 3 and 4 in the Supplement).
Models were estimated separately for preschool and school-age and for extended intervention groups. Dichotomously coded CPC preschool participation at 3 or 4 years of age and school-aged participation from first to third grade were assessed simultaneously. The CPC extended intervention for 4 to 6 years was assessed against the comparison group with less extensive participation (0-3 years). Duration was also analyzed among 6 groups consistent with a dosage-response relationship.
A dummy code for missing data was included to determine whether estimates based on multiple imputation (expectation maximization) affected outcomes. We adjusted SEs for school-level clustering (mean intraclass r value, 0.05), although this did not affect estimates. Group differences and marginal effects were emphasized, with 95% CIs. Robustness analyses included each IPW model separately (selection and attrition) and the traditional covariate approach. Sex and mother’s educational level subgroups were estimated in separate models, with interpretations emphasizing differences shown in the overall model.
Results
Cohort Follow-up at 35 Years of Age
A total of 1539 participants (mean [SD] age, 35.1 [0.32] years; 1423 [92.9%] black and 108 [7.1%] Hispanic) were included in the study. In May 2015, a total of 1398 participants (90.8%) from the original sample had data on educational attainment. Retention rates were 91.4% for the intervention group and 89.8% for the comparison group. The high rate of retention was attributable to the use of multiple sources of data, including administrative, self-report, and follow-up tracking. Among those with available information, 963 (72.5%) in the total sample resided in Illinois, with most others (213 [16.0%]) remaining in the Midwest (70 participants had missing contact information). Table 1 gives the rates of participation over time and attrition. The comparison group received a variety of early childhood services. There was no evidence of selective attrition by program status.14,25 The attrition sample included those who moved and were not located or deceased (eTable 1 and eMethods in the Supplement).
Table 1. Participation of Original Child-Parent Center (CPC) Program and Comparison Groups in the Chicago Longitudinal Study .
| Study Category | Total Sample | Program Groupa | Comparison Groupa |
|---|---|---|---|
| Program participant characteristics at start of studyb | |||
| No. in original sample | 1539 | 989 | 550 |
| No. with preschool participation | 1073 | 989 | 84 |
| No. with CPC preschool | 989 | 989 | 0 |
| Years in CPC preschool (range) | 0.99 (0-2) | 1.55 (1-2) | 0 |
| No. with kindergarten participation | 1539 | 989 | 550 |
| No. in full-day kindergarten | 1141 | 591 | 550 |
| No. with CPC school-aged participation | 850 | 684 | 166 |
| Years in school-aged program (range) | 1.16 (0-3) | 1.43 (1-2) | 0.68 (1-2) |
| No. with CPC extended intervention (4-6 y) | 553 | 553 | 0 |
| Total years in CPC program (range) | 2.78 (0-6) | 3.95 (1-2) | 0.68 (1-2) |
| No. unavailable for follow-up in postprogram years | |||
| Movedc | 75 | 41 | 34 |
| Deceased | 66 | 44 | 22 |
| Follow-up study at 35 y of age, No. with data | |||
| Educational attainment | 1398 | 904 | 494 |
| Completed high school (diploma or equivalent) | 1157 | 774 | 383 |
| Attended college (2- or 4-y institution) | 813 | 555 | 258 |
| Earned associates’ degree or higher | 239 | 176 | 63 |
| Earned bachelors’ degree or higher | 167 | 124 | 43 |
Program participation covers the 6-year period (1983-1989) that defines enrollment in the CPC intervention.
The CPC preschool comparison group participated in a full-day kindergarten program, and 84 participated in Head Start preschool. A total of 109 parents in the comparison group reported that their child participated in other child care or education in preschool, and 176 individuals in the comparison group were eligible to receive limited services in the CPC program for kindergarten but enrolled in different classrooms; they are not part of the original CPC intervention group. Some individuals in the comparison group participated in the school-aged program because it was open to any child enrolled in elementary school from first to third grade. Fifteen children in the CPC intervention group enrolled in the alternative full-day kindergarten.
These categories account for attrition from the original study sample of 1539. Individuals were unavailable for follow-up during the postprogram years because they moved from Chicago and could not be located, were deceased, or did not have sufficient identifying information to track, refused to participate, or were incarcerated (other). At 35 years of age, the total number of deceased individuals in the study was 73. Seven individuals who died after July 1, 2009, were included in the study sample. The attrition sample of 141 had missing data on educational attainment between the ages of 28 and 35 years.
Group Comparability
At follow-up, the program and comparison groups were similar on most characteristics (Table 2). These characteristics were measured from administrative records and family surveys primarily between birth and 5 years of age. The groups were similar in employment, single-parent family status, neighborhood poverty, and adverse experiences (eg, parent substance abuse). They differed in mother’s educational level and child welfare but were equivalent among male participants. The original sample had similar group equivalence (eTable 2 in the Supplement). The original and follow-up samples had similar attributes (eg, family risk, program participation) (eTable 1 in the Supplement). However, the attrition sample had a higher percentage of male participants. Inverse probability weighting accounted for differences in analyses (eTables 3 and 4 in the Supplement).
Table 2. Preprogram Attributes of Child-Parent Center Program and Comparison Groups for the Follow-up Studya.
| Child or Family Characteristic | Follow-up Sample at 35 Years of Age (n = 1398) | Male Program vs Control (n = 666) | Female Program vs Control (n = 732) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Program Group (n = 904) | Comparison Group (n = 494) | Difference (95% CI) | Program Group (n = 414) | Comparison Group (n = 252) | Difference (95% CI) | Program Group (n = 490) | Comparison Group (n = 242) | Difference (95% CI) | |
| Sample recovery | 91.4 | 89.8 | 1.6 (–1.5 to 4.7) | 87.0 | 88.5 | –1.5 (–6.2 to 3.3) | 95.7 | 93.8 | 1.9 (–1.5 to 5.3) |
| Female | 54.2 | 49.0 | 5.2 (–0.3 to 10.7) | ||||||
| Black | 93.3 | 93.2 | 0.1 (–2.6 to 2.9) | 93.5 | 91.3 | 2.2 (–2.0 to 6.4) | 93.1 | 95.1 | –2.0 (–5.5 to 1.6) |
| Family risk index by child’s age of 3 yb | 4.49 | 4.50 | –0.7 (–0.19 to 0.18) | 4.37 | 4.52 | –0.15 (–0.41 to 0.12) | 4.59 | 4.47 | 0.12 (–0.14 to 0.37) |
| ≥4 Risk factors by child’s age of 3 y | 72.8 | 70.9 | 1.9 (–3.0 to 6.9) | 69.6 | 70.3 | –0.7 (–7.9 to 6.5) | 75.5 | 71.5 | 4.0 (–2.8 to 10.9) |
| Mother did not complete high school by child’s age of 3 yc | 50.1 | 58.7 | –8.6 (–14.0 to –3.2)d | 52.7 | 57.6 | –4.9 (–12.7 to 2.9) | 48.0 | 60.0 | –12.0 (–19.6 to −4.4)d |
| Mother completed some college by child’s age of 3 y | 13.4 | 10.5 | 2.9 (–0.6 to 6.4) | 13.0 | 11.5 | 1.5 (–3.6 to 6.6) | 13.7 | 9.5 | 4.2 (–0.6 to 9.0) |
| Single parent by child’s age of 3 yc | 76.6 | 75.5 | 1.0 (–3.7 to 5.7) | 74.4 | 78.2 | –3.8 (–10.4 to 2.8) | 78.4 | 72.8 | 5.6 (–1.1 to 12.3) |
| Mother not employed by child’s age of 3 yc | 66.6 | 62.6 | 4.0 (–1.2 to 9.3) | 61.8 | 64.7 | –2.9 (–10.4 to 4.7) | 70.6 | 60.3 | 10.3 (2.9 to 17.7)d |
| Ever reported receiving free lunch by child’s age of 3 yc | 83.6 | 82.8 | 0.8 (–3.3 to 5.0) | 50.7 | 52.2 | –1.5 (–7.5 to 4.6) | 86.1 | 83.4 | 2.7 (–2.9 to 8.2) |
| Ever reported receiving AFDC by child’s age of 3 yc | 62.5 | 60.3 | 2.2 (–3.2 to 7.5) | 58.5 | 61.6 | –3.1 (–10.7 to 4.6) | 65.9 | 59.1 | 6.8 (–0.7 to 14.3) |
| ≥4 Children at home by child’s age of 3 yc | 16.0 | 19.0 | –3.0 (–7.2 to 1.2) | 16.7 | 15.5 | 1.2 (–4.5 to 6.9) | 15.5 | 22.7 | –7.2 (–13.4 to –1.0)d |
| Children in school area in which ≥60% of children reside in low-income familiesc | 77.8 | 73.1 | 4.7 (–0.1 to 9.5) | 75.6 | 71.8 | 3.8 (–3.2 to 10.7) | 79.6 | 74.4 | 5.2 (–1.3 to 11.8) |
| Any child welfare history by child’s age of 3 y | 2.9 | 5.5 | –2.6 (–4.9 to –0.3)d | 2.4 | 5.1 | –2.7 (–5.9 to 0.4) | 3.3 | 5.8 | –2.5 (–5.9 to 0.8) |
| Mother was teenager at child’s birthc | 15.9 | 17.8 | –1.9 (–6.0 to 2.3) | 16.7 | 20.3 | –3.6 (–9.7 to 2.6) | 15.3 | 15.3 | 0 (–5.5 to 5.6) |
| Missing any family risk indicators | 13.7 | 15.6 | –1.9 (–5.8 to 2.0) | 15.0 | 19.1 | –4.1 (–10.0 to 1.9) | 12.7 | 12.0 | 0.7 (–4.4 to 5.7) |
| Low birth weight (<2500 g) | 11.3 | 14.0 | –2.7 (–6.4 to 1.0) | 10.6 | 11.5 | –0.9 (–5.8 to 4.1) | 11.8 | 16.5 | –4.7 (–10.2 to 0.8) |
| Home environment problem at ages 0-5 y | 51.9 | 55.7 | –3.8 (–9.3 to 1.7) | 51.7 | 55.6 | –3.9 (–11.7 to 3.9) | 52.0 | 55.7 | –3.7 (–11.0 to 3.9) |
| No. of adverse childhood experiences at age 0-5 y | 0.34 | 0.31 | 0.03 (–0.05 to 0.10) | 0.42 | 0.36 | 0.06 (–0.05 to 0.18) | 0.26 | 0.26 | 0 (–0.09 to 0.09) |
Abbreviation: AFDC, Aid to Families with Dependent Children.
Data are presented as percentage of individuals unless otherwise indicated. The child and family background indicators were measured from administrative records (birth certificates, school records) primarily from birth to 5 years of age. Parent reports from ages 7 to 12 years were used to supplement some risk indicators (eg, number of children). These and other indicators were used in the inverse probability weighting models. Home environment problems (eg, frequent family conflict) and adverse child experiences were from retrospective reports. The preschool to third grade group showed similar patterns and is not shown.
The index ranges from 0 to 7, with higher numbers indicating greater levels of family risk.
Family risk indicators.
The 95% CI does not include zero.
Outcomes for Preschool and School-aged Participation
As indicated in Table 3, after controlling for IPW selection and attrition, the preschool group had significantly higher levels of educational attainment on 9 of 12 outcomes. These outcomes included a higher rate of 4-year high school graduation (51.0% vs 44.0%; difference, 7.0%; 95% CI, 1.4%-12.6%), college attendance (61.2% vs 53.1%; difference, 8.1%; 95% CI, 0.8%-15.4%), associate’s degree or higher (15.7% vs 10.7%; difference, 5.0%; 95% CI 1.0%-9.0%), and master’s degree or higher (4.2% vs 1.5%; difference, 2.7%; 95% CI, 1.3%-4.1%) (Figure). The advantage for years of education was a half year (12.81 vs 12.32 years), but the difference for an earned bachelors’ degree was smaller (11.0% vs 7.8%). The only difference for CPC school-age was in on-time high school graduation.
Table 3. Adjusted Rates of Educational Attainment by Preschool, School-aged, and Extended-Intervention Group Statusa.
| Educational Outcomes by 35 Years of Age | Preschool Groups | School-aged Groups | Extended Intervention Groupsb | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Intervention (n = 904) | Comparison (n = 494) | Difference (95% CI) | Intervention (n = 776) | Comparison (n = 622) | Difference (95% CI) | Intervention (n = 514) | Comparison (n = 884) | Difference (95% CI) | |
| Dropout by 16 y of age | 11.2 | 13.9 | –2.7 (–6.8 to 1.3) | 12.4 | 11.6 | 0.8 (–2.2 to 3.8) | 11.6 | 12.6 | –1.0 (–5.2 to 3.1) |
| 4-y High school graduation | 51.0 | 44.0 | 7.0 (1.4 to 12.6)c | 49.1 | 46.3 | 2.8 (–4.4 to 10.0) | 55.3 | 44.7 | 10.6 (3.4 to 17.8)c |
| On-time high school graduation | 42.1 | 34.3 | 7.8 (2.5 to 13.1)c | 42.3 | 35.1 | 7.2 (0.8 to 13.6)c | 48.5 | 34.7 | 13.8 (6.0 to 21.6)c |
| High school completion | 86.9 | 80.7 | 6.2 (0.9 to 11.6)c | 85.2 | 83.5 | 1.7 (–2.5 to 5.9) | 87.3 | 82.8 | 4.5 (1.3 to 7.8)c |
| High school graduation | 56.0 | 50.5 | 5.5 (0.3 to 10.8)c | 53.7 | 52.4 | 1.3 (–6.3 to 8.9) | 59.6 | 50.4 | 9.2 (2.3 to 16.0)c |
| Years of education | 12.81 | 12.32 | 0.49 (0.20 to 0.77)c | 12.65 | 12.55 | 0.1 (–0.14 to 0.33) | 12.95 | 12.45 | 0.5 (0.17 to 0.84)c |
| College attendance | 61.2 | 53.1 | 8.1 (0.8 to 15.4)c | 59.4 | 56.5 | 2.9 (–3.1 to 9.0) | 63.2 | 55.8 | 7.4 (1.4 to 13.4)c |
| 4-y College attendance | 29.3 | 21.4 | 7.9 (1.9 to 14) | 25.6 | 26.0 | –0.4 (–7.1 to 6.4) | 31.4 | 24.0 | 7.4 (0.4 to 14.4) |
| Associates’ degree or higher | 15.7 | 10.7 | 5.0 (1.0 to 9.0) | 14.2 | 13.4 | 0.8 (–3.8 to 5.3) | 18.5 | 12.5 | 6.0 (1.0 to 11.0) |
| Bachelor’s degree or higher | 11.0 | 7.8 | 3.2 (–0.3 to 6.7) | 10.8 | 8.7 | 2.1 (–1.8 to 6.0) | 14.3 | 8.2 | 6.1 (1.3 to 10.9) |
| Master’s degree or higher | 4.2 | 1.5 | 2.7 (1.3 to 4.1) | 3.8 | 2.3 | 1.5 (–0.5 to 3.4) | 5.9 | 2.3 | 3.6 (1.4 to 5.9) |
| Postsecondary credential | 18.3 | 17.2 | 4.1 (–1.1 to 9.3) | 20.4 | 19.2 | 1.2 (–4.4 to 6.7) | 25.0 | 18.1 | 6.9 (0.9 to 12.9) |
Data are percentage of individuals unless otherwise indicated. Adjusted with inverse probability weighting for program selection and attrition. Comparisons for other extended intervention groups showed a similar pattern. Child welfare history by 4 years of age was not included in the models of bachelor’s degree and master’s degree or higher because it predicted the outcomes. A total of 57 individuals (4%) reported having a master’s degree or higher. The extended intervention model was estimated separately from the preschool and school-aged model.
Extended intervention was 4 to 6 years; comparison, less than 4 years.
The 95% CI does not include zero.
Figure. Adjusted Rates for 3 Measures of Educational Attainment by Child-Parent Center (CPC) Program Participation .
Values are marginal rates adjusted for inverse probability weighting (IPW) for program selection and attrition. A-C, Findings according to preschool CPC participation. In A-C, CPC program school-aged participation was also included in the model (see eTables 3 and 4 in the Supplement for IPW input models and eTables 5-12 in the Supplement for other outcomes). D-F, Findings according to preschool to third grade (PK-3) CPC program participation. Error bars indicate SD.
Outcomes for Extended Program Participation
Compared with fewer years of participation, the CPC 4- to 6-year group (extended intervention) had higher levels of educational attainment on 11 of 12 outcomes. These outcomes included a higher rate of 4-year high school graduation (55.3% vs 44.7%; difference, 10.6%; 95% CI, 3.4%-17.8%) (Table 3 and Figure), 4-year college attendance (31.4% vs 24.0%; difference, 7.4%; 95% CI, 0.4%-14.4%), associate’s degree or higher (18.5% vs 12.5%; difference, 6.0%; 95% CI, 1.0%-11.0%), bachelor’s degree (14.3% vs 8.2%; difference, 6.1%; 95% CI, 1.3%-10.9%), and postsecondary credential (25.0% vs 18.1%; difference, 6.9%; 95% CI, 0.9%-12.9%) (eFigure 1 in the Supplement). The percentage improvements over the comparison group were 38.1% for associate’s degree or higher and 48.0% for postsecondary credentials. Other comparisons were similar (eTable 5 in the Supplement).
Duration (Dosage) of Participation to Third Grade
Table 4 gives the levels of attainment for specific dosage groups ranging from 0 to 5 to 6 years of participation. Although, as expected, there were increasing attainment rates as years of intervention increased, 3 results were evident (see biserial correlations and marginal effects for years of intervention in Table 4). First, the largest differences between the minimum and maximum duration of services was for on-time high school graduation, 4-year high school graduation, college attendance, and years of education. For on-time graduation, the difference was 22.6 percentage points (53.2% vs 30.6%; marginal effect, years = 3.0%; 95% CI, 1.8%-4.1%).
Table 4. Adjusted Means and Marginal Effects of Select Measures of Educational Attainment by Program Dosagea.
| Measure | Mean Valueb | Difference (95% CI) | ||||||
|---|---|---|---|---|---|---|---|---|
| PK to Third Grade (n = 160) | PK to Second Grade (n = 351) | PK to First Grade (n = 116) | PK/PK and Kindergarten (n = 277) | No PK/School-aged (n = 149) | No Participation (n = 345) | Marginal Effect, Duration of Intervention | Biserial Correlation | |
| Dropout by 16 y of age | 7.9 | 13.3 | 9.8 | 11.6 | 16.1 | 13.7 | –0.7 (–1.7 to 0.4) | –0.08 (–0.14 to –0.03) |
| 4-y High school graduation | 60.7c | 51.6 | 42.2 | 45.0 | 41.0 | 43.1 | 2.1 (0.7 to 3.4)d | 0.14 (0.09 to 0.20)d |
| On-time high school graduation | 53.2c | 44.4 | 33.5 | 35.0 | 36.8 | 30.6 | 3.0 (1.8 to 4.1)d | 0.18 (0.13 to 0.23)d |
| High school completion | 87.8 | 86.8 | 87.1 | 84.9 | 81.1 | 79.0 | 1.6 (0.3 to 2.9)d | 0.15 (0.09 to 0.20)d |
| High school graduation | 65.9c | 55.2 | 46.0 | 49.8 | 46.3 | 50.8 | 1.7 (0.3 to 3.1)d | 0.11 (0.06 to 0.17)d |
| Years of education | 12.89c | 12.95 | 12.58 | 12.59 | 12.14 | 12.32 | 0.10 (0.05 to 0.16)d | 0.14 (0.09 to 0.19)d |
| College attendance | 62.5 | 61.7 | 57.7 | 58.1 | 53.6 | 50.7 | 2.0 (0.6 to 3.4)d | 0.11 (0.06 to 0.17)d |
| 4-y College attendance | 27.5 | 30.6 | 22.3 | 28.3 | 20.0 | 22.4 | 1.4 (0.4 to 2.4)d | 0.12 (0.06 to 0.17)d |
| Associate’s degree or higher | 15.5 | 18.1 | 11.9 | 13.6 | 6.8 | 9.9 | 0.9 (0.17 to 1.6)d | 0.14 (0.09 to 0.19)d |
| Bachelor’s degree or higher | 11.0 | 15.4c | 9.5 | 8.5 | 4.7 | 7.4 | 0.8 (0.3 to 1.3)d | 0.15 (0.10 to 0.20)d |
| Master’s degree or higher | 3.1 | 5.8 | 4.0 | 0 | 1.6 | 2.2 | 0.4 (0.3 to 0.6)d | 0.21 (0.16 to 0.26)d |
| Postsecondary credential | 27.3 | 24.0 | 15.8 | 17.7 | 12.2 | 17.9 | 0.9 (–0.1 to 1.8) | 0.12 (0.07 to 0.18)d |
Abbreviation: PK, prekindergarten (preschool).
Data are presented as percentage of individuals unless otherwise indicated. Adjusted with inverse probability weighting (IPW) for program selection and attrition. The groups define the extent of intervention in years. A total of 57 individuals (4%) reported having a master’s degree or higher. When examined by the 6 groups, the no PK group and the any school-aged group predicted the outcome and thus the rates were not reported. Marginal effect assessed years of Child-Parent Center program participation (range, 0-6 years) after IPW adjustments. Unadjusted biserial correlation between years of intervention (defined by the groups in the table) and the outcome is adjusted to account for dichotomous outcomes.
PK to third grade represented individuals aged 5 to 6 years; PK to second grade, 4 to 5 years; PK to first grade, 3 to 4 years; PK/PK and kindergarten, 2 to 3 years; no PK/school age, 1 to 3 years; and no participation, 0 years. The reference group for marginal rates is the PK/PK and kindergarten group.
The 95% CI does not include zero compared with the reference group (PK/PK + kindergarten [2- to 3-year olds]).
The 95% CI for marginal effects and correlations do not include zero. The exceptions were dropout by 16 years of age and postsecondary credential.
The second result was that the high-dosage groups, which participated in the entire program from preschool to at least second grade (4-5 years or 5-6 years), had the greatest attainment difference with the preschool and kindergarten group for all 3 high school graduation measures and bachelor’s degree or higher (eg, 15.4% vs 8.5% for preschool to second grade vs preschool only). They also had increased educational attainment compared with the lower dosage groups, including the school-aged intervention group with no preschool (eTable 6 in the Supplement).
Third, the attainment levels of the 2 high-dosage groups were similar. Program groups had increases in degree attainment between 28 and 35 years of age that were more than double those of the comparison groups (eFigure 2 in the Supplement).
Differences by Subgroups
Separate estimates were reported for sex and mothers’ educational level (eTables 7 to 10 in the Supplement). Compared with male participants, female participants had higher rates of educational attainment. Although postsecondary outcomes were increased for female participants, in the extended intervention, the difference was significant for college attendance only (female participants: 73.5% vs 62.6%; difference, 10.9%; 95% CI, 3.3%-18.5%; male participants: 50.8% vs 49.0%; difference, 1.8%; 95% CI, −7.7%-11.2%) (eTable 7 in the Supplement). For mothers’ educational level, differences in years of education, 4-year college attendance, associate’s or higher degree, and postsecondary credential were greater for preschool participants whose mothers dropped out of high school compared with those with mothers who were high school graduates (eTable 9 and eTable 10 in the Supplement). This finding and others for 3 postsecondary outcomes are shown in the Figure. The difference in high school attainment was greatest for male participants, especially as duration of intervention increased (eTable 8 in the Supplement).
Robustness Analysis
We compared the main IPW model with 3 others: (1) covariate-adjusted model with no IPW, (2) IPW for program selection, and (3) IPW for attrition. As reported in eFigure 4 in the Supplement, program estimates were robust across models that balanced the covariates between groups (eTables 11 and 12 in the Supplement). The covariate-adjusted model yielded slightly lower estimates of impact (eFigures 1, 3, and 4 in the Supplement).
Discussion
Lower educational attainment is a major risk factor for many indicators of health and well-being. To our knowledge, no previous early childhood studies have investigated degree completion for large-scale programs after the mid-20s. Given the low generalizability and small sample sizes of previous studies,17,18,22,23 differences by subgroups and dosage of intervention are underinvestigated. The benefits of continuing services beyond 5 years of age are especially limited.
As the most comprehensive longitudinal study of an established large-scale program, CPC was associated with educational attainment in midlife. We found positive outcomes for 4-year high school graduation, college attendance, and degree completion (associate’s degree or higher). Given that educational attainment is the leading social determinant of health, findings demonstrate that school-based early childhood programs, such as the CPC program, have significant potential to advance life-course health and well-being. For example, all 7 ideal health metrics of the American Heart Association1,2,3 (eg, hypertension) are associated with educational attainment in a dosage-response fashion.36,37 Higher levels of education are associated with greater economic well-being,5,38,39 reduced depression, and involvement in the justice system.5,6 Increased access to high-quality programs provides an important avenue of improved well-being.
The program had compensatory effects for those at elevated risk: black male participants and children of school dropouts. Although the results varied by duration of intervention, they indicate that prevention can be particularly effective in increasing educational attainment for those with the largest disparities in outcomes. For example, the preschool group from low-education households had a 2-fold increase in bachelor’s degree attainment compared with the comparison group. This result dovetails with previous findings14,21,25 and supports the CPC program in enhancing quality, intensity, and continuity of learning.27,28,29
Our focus on 4-year high school graduation is unique and reflects a key Healthy People metric.9 The association between intervention and the educational attainment continuum in midlife increases the likelihood that the CPC program can influence adult health.40 This finding is supported by increasing literature that early childhood experiences link to healthy behaviors.39,41 A major implication is that investments in the ECI, whether during the preschool or early school-aged years, are investments in public health and can affect long-term outcomes. Although access to publicly funded preschool has increased in recent years, only 42% of children aged 4 years and 15% of those aged 3 years enroll in state prekindergarten, Head Start, or other programs.42 Continuing participation in programs similar to the CPC program is not tracked but has been estimated to be less than 10%.22,23,28 Our findings indicate the importance of increasing the availability of such services.
Another unique feature of the study was examination of preschool to third grade services within a dosage framework. Research on dosage effects have been limited despite their direct policy implications. Studies43,44 have found that an additional year of preschool leads to improvements in educational outcomes. Whether the effects are sustained largely depends on the quality of subsequent experiences.4,23,27 Our findings extend previous work by showing that years of participation from preschool to second or third grade were linked to all high school graduation outcomes. Years were also associated with higher rates of earned degrees, including a bachelor’s degree. Long-term effects on education can be strengthened if services continue through at least second grade.
The processes that account for the observed links with educational attainment are complex, but several have been identified. Through educational enrichment, the CPC program and other interventions promote early cognitive scholastic skills, which lead to better school performance and adjustment and increased school commitment, thereby reducing the need for treatment.11,15,17,22 Similar cumulative processes of effects have been found for family support and parenting behaviors and school support and quality.22,23,45 Socioemotional advantages (eg, self-control) also have a key role in explaining links with crime prevention and college persistence.11,45 The linchpin of this mediational process is that initial links are sufficiently strong as a function of effective implementation. How this process carries over to physical health and health behaviors in midlife warrants further investigation, but educational attainment is a key conduit that contributes to a process of cumulative advantage.4,36,37,45
A rare feature that further strengthens inferences is the availability of complete records of attainment from multiple sources. Education is a continuous process that extends into the 30s for the CLS cohort and in general. The CPC preschool to third graders and preschoolers had nearly doubled rates of degree attainment from 28 to 35 years of age, whereas the rates for comparison groups increased slightly (eFigure 1 in the Supplement). The program groups also had increased rates of earned degrees by nearly 50% (Table 3 and Table 4). Despite economic barriers that make it more difficult for poor and minority youths to pursue postsecondary education,46 these findings indicate that prevention early in life can help reduce economic disparities in attainment at a time when the returns to college are increasing.5,46
Nevertheless, these sizable benefits do not eliminate disparities across the education continuum with more advantaged groups, especially for degree completion.47,48 Early childhood programs, which are targeted to families at higher levels of risk, would not be expected to permanently compensate for continuing disadvantages. For example, the rate of arrest among CLS youths is double the national rate,49 and this difference accounts for the higher rates of attainment for female participants in the study and substantially contributes to the lower rates of degree completion compared with the general population.
Limitations
This study has 3 limitations. First, the findings are based on a quasi-experimental design, and thus the strength of inferences may not be as strong as in well-executed randomized experiments. Nevertheless, the groups were largely equivalent and findings were consistent across analytic methods. Second, measures of postsecondary education were collected from administrative records and supplemented with self-reports. It is possible that some participants were missed from the records search even though we obtained a 91% rate of retention. Third, generalizability of findings may be restricted. Although other programs are supportive of the long-term benefits reported here,10,11,13 the population served in our study had relatively high levels of economic disadvantage. In addition, the CPC program has a long history of effectiveness because of its quality and comprehensiveness, and thus results may not apply to programs of modest quality.
Conclusions
This study suggests that an established and large-scale ECI contributes positively to educational attainment in midlife, a key social determinant of health and well-being. Replication and extension of findings to other contemporary programs, contexts, and samples should further strengthen confidence in the benefits of multiyear and multicomponent preventive interventions.
eTable 1. Study Sample Characteristics by Attrition Status
eTable 2. Original Study Sample Characteristics by Program Groups and Gender (N = 1539)
eTable 3. Propensity Score Predictors of Participation in the CPC Program
eTable 4. Propensity Score Predictors of Being in the Study Sample
eTable 5. Adjusted Rates and Means for Educational Attainment by Program Groups
eTable 6. Adjusted Rates, Means, and Marginal Effects for Educational Attainment by Program Dosage
eTable 7. Educational Attainment by Program Group Status for Females and Males
eTable 8. Educational Attainment by Gender and Program Dosage
eTable 9. Educational Attainment by Mothers’ Education and Program Groups
eTable 10. Educational Attainment by Mothers’ Education and Program Dosage
eTable 11. Robustness by Analytic Technique for the Program Groups
eTable 12. Robustness by Analytic Technique and Program Dosage
eMethods. Study Background, Measures, and Analysis
eFigure 1. Adjusted Rates for Two Measures of Attainment by Preschool to Third Grade Participation
eFigure 2. Rate Differences in Educational Attainment Between Ages 28 and 35 by CPC Groups
eFigure 3. Adjusted Rates for Two Measures of Attainment by Preschool Participation
eFigure 4. Propensity-Score Weighted Differences by Program Groups
References
- 1.Lloyd-Jones DM, Hong Y, Labarthe D, et al. ; American Heart Association Strategic Planning Task Force and Statistics Committee . Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association’s Strategic Impact Goal Through 2020 and Beyond. Circulation. 2010;121(4):586-613. [DOI] [PubMed] [Google Scholar]
- 2.Liu K, Daviglus ML, Loria CM, et al. Healthy lifestyle through young adulthood and the presence of low cardiovascular disease risk profile in middle age: the Coronary Artery Risk Development in (Young) Adults (CARDIA) study. Circulation. 2012;125(8):996-1004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Folsom AR, Yatsuya H, Nettleton JA, Lutsey PL, Cushman M, Rosamond WD; ARIC Study Investigators . Community prevalence of ideal cardiovascular health, by the American Heart Association definition, and relationship with cardiovascular disease incidence. J Am Coll Cardiol. 2011;57(16):1690-1696. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Braveman P, Gottlieb L. The social determinants of health: it’s time to consider the causes of the causes. Public Health Rep. 2014;129(suppl 2):19-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Belfield CR, Levin HM The Price We Pay: Economic and Social Consequences of Inadequate Education. Washington, DC: Brookings Institution; 2007. [Google Scholar]
- 6.O’Connell ME, Boat T, Warner KE Preventing Mental, Emotional and Behavioral Disorders Among Young People: Progress and Possibilities. Washington, DC: National Academy Press, 2009. [PubMed] [Google Scholar]
- 7.Ross CE, Wu C-l. The links between education and health. Am Sociol Rev. 1995;60(5):719-745. [Google Scholar]
- 8.Garrison RJ, Gold RS, Wilson PWF, Kannel WB. Educational attainment and coronary heart disease risk: the Framingham Offspring Study. Prev Med. 1993;22(1):54-64. [DOI] [PubMed] [Google Scholar]
- 9.US Department of Health and Human Services. Healthy People 2020. 2016. http://www.healthypeople.gov/2020/topics-objectives/topic/social-determinants-of-health. Accessed February 8, 2016.
- 10.Camilli G, Vargas S, Ryan S, Barnett WS. Meta-analysis of the effects of early education interventions on cognitive and social development. Teach Coll Rec. 2010;112(3):579-620. [Google Scholar]
- 11.Karoly LA, Kilburn MR, Cannon JS. Early Childhood Interventions: Proven Results, Future Promise. Santa Monica, CA: RAND; 2005. [Google Scholar]
- 12.Guyer B, Ma S, Grason H, et al. Early childhood health promotion and its life course health consequences. Acad Pediatr. 2009;9(3):142-149.e1, 71. [DOI] [PubMed] [Google Scholar]
- 13.Washington State Institute for Public Policy Early Childhood Education for Low-Income Students: A Review of the Evidence and Benefit-Cost Analysis. Olympia, WA: Washington State Institute for Public Policy ; 2014. [Google Scholar]
- 14.Reynolds AJ, Temple JA, Ou SR, et al. Effects of a school-based, early childhood intervention on adult health and well-being: a 19-year follow-up of low-income families. Arch Pediatr Adolesc Med. 2007;161(8):730-739. [DOI] [PubMed] [Google Scholar]
- 15.Consortium for Longitudinal Studies As the Twig Is Bent...Lasting Effects of Preschool Programs. Hillsdale, NJ: Erlbaum; 1983. [Google Scholar]
- 16.McCormick MC, Brooks-Gunn J, Buka SL, et al. Early intervention in low birth weight premature infants: results at 18 years of age for the Infant Health and Development Program. Pediatrics. 2006;117(3):771-780. doi: 10.1542/peds.2005-1316 [DOI] [PubMed] [Google Scholar]
- 17.Schweinhart LJ, Montie J, Xiang Z, et al. Lifetime Effects: The High/Scope Perry Preschool Study Through Age 40. Ypsilanti, MI: High/Scope Press; 2005. [Google Scholar]
- 18.Campbell FA, Pungello EP, Burchinal M, et al. Adult outcomes as a function of an early childhood educational program: an Abecedarian Project follow-up. Dev Psychol. 2012;48(4):1033-1043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Garces E, Thomas D, Currie J. Longer-term effects of Head Start. Am Econ Rev. 2002;92(4):999-1012. [Google Scholar]
- 20.Campbell FA, Ramey CT, Pungello E, Sparling J, Miller-Johnson S. Early childhood education: Young adult outcomes from the Abecedarian project. Appl Dev Sci. 2002;6(1):42-57. [Google Scholar]
- 21.Reynolds AJ, Temple JA, Ou SR, Arteaga IA, White BA. School-based early childhood education and age-28 well-being: effects by timing, dosage, and subgroups. Science. 2011;333(6040):360-364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Reynolds AJ, Temple JA. Cost-effective early childhood development programs from preschool to third grade. Annu Rev Clin Psychol. 2008;4:109-139. [DOI] [PubMed] [Google Scholar]
- 23.Takanishi R, Kauerz K. PK inclusion: getting serious about a P-16 education system. Phi Delta Kappan. 2008;89(7):480-487. [Google Scholar]
- 24.Lachman ME. Development in midlife. Annu Rev Psychol. 2004;55:305-331. [DOI] [PubMed] [Google Scholar]
- 25.Reynolds AJ, Temple JA, Robertson DL, Mann EA. Long-term effects of an early childhood intervention on educational achievement and juvenile arrest: a 15-year follow-up of low-income children in public schools. JAMA. 2001;285(18):2339-2346. [DOI] [PubMed] [Google Scholar]
- 26.Chicago Longitudinal Study User’s Guide: A Study of Children in the Chicago Public Schools. Version 7. Madison: Waisman Center, University of Wisconsin; 2005. [Google Scholar]
- 27.Reynolds AJ. Success in Early Intervention: The Chicago Child-Parent Centers. Lincoln: University of Nebraska Press; 2000. [Google Scholar]
- 28.Reynolds AJ, Hayakawa M, Candee AJ, Englund MM. CPC P-3 Program Manual: Child-Parent Center Preschool-3rd Grade Program. Minneapolis: University of Minnesota; 2016. [Google Scholar]
- 29.Reynolds AJ, Richardson BA, Hayakawa M, et al. Association of a full-day vs part-day preschool intervention with school readiness, attendance, and parent involvement. JAMA. 2014;312(20):2126-2134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.National Student Clearinghouse NSC Fact Sheet. http://studentclearinghouse.org/about/clearinghouse_facts.php. Accessed October 4, 2017.
- 31.StataCorp Stata: Release 14. College Station, TX: StataCorp LP; 2015. [Google Scholar]
- 32.Cummings P. Propensity scores. Arch Pediatr Adolesc Med. 2008;162(8):734-737. [DOI] [PubMed] [Google Scholar]
- 33.Imbens GW, Wooldridge JM. Recent developments in the econometrics of program evaluation. J Econ Lit. 2009;47(1):5-86. [Google Scholar]
- 34.Kurth T, Walker AM, Glynn RJ, et al. Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of nonuniform effect. Am J Epidemiol. 2006;163(3):262-270. [DOI] [PubMed] [Google Scholar]
- 35.Hirano K, Imbens GW, Ridder G. Efficient estimation of average treatment effects using the estimated propensity score. Econometrica. 2003;71(4):1161-1189. [Google Scholar]
- 36.Liu K, Cedres LB, Stamler J, et al. Relationship of education to major risk factors and death from coronary heart disease, cardiovascular diseases and all causes: findings of three Chicago epidemiologic studies. Circulation. 1982;66(6):1308-1314. [DOI] [PubMed] [Google Scholar]
- 37.Mozaffarian D, Benjamin EJ, Go AS, et al. ; American Heart Association Statistics Committee and Stroke Statistics Subcommittee . Heart disease and stroke statistics—2015 update: a report from the American Heart Association. Circulation. 2015;131(4):e29-e322. [DOI] [PubMed] [Google Scholar]
- 38.Muennig P. Can universal pre-kindergarten programs improve population health and longevity? mechanisms, evidence, and policy implications. Soc Sci Med. 2015;127:116-123. [DOI] [PubMed] [Google Scholar]
- 39.Reynolds AJ, Temple JA, White BA, Ou S-R, Robertson DL. Age 26 cost-benefit analysis of the child-parent center early education program. Child Dev. 2011;82(1):379-404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Community Preventive Services Task Force High school completion programs recommended to improve health equity. Am J Prev Med. 2015;48(5):609-612. [DOI] [PubMed] [Google Scholar]
- 41.Halfon N. Socioeconomic influences on child health: building new ladders of social opportunity. JAMA. 2014;311(9):915-917. [DOI] [PubMed] [Google Scholar]
- 42.Barnett WS. The 2015 State Preschool Yearbook. New Brunswick, NJ: National Institute of Early Education Research, Rutgers University; 2016. [Google Scholar]
- 43.Domitrovich CE, Morgan NR, Moore JE. One versus two years: does length of exposure to an enhanced preschool program impact the academic functioning of disadvantaged children in kindergarten? Early Child Res Q. 2013;28(4):704-713. [Google Scholar]
- 44.Arteaga I, Humpage S, Reynolds AJ, Temple JA. One year of preschool or two: is it important for adult outcomes? Econ Educ Rev. 2014;40:221-237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Reynolds AJ, Ou SR. Paths of effects from preschool to adult well-being: a confirmatory analysis of the child-parent center program. Child Dev. 2011;82(2):555-582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Pascarella ET, Terenzini PT. How College Affects Students: A Third Decade of Research. 2nd ed San Francisco, CA: Jossey-Bass; 2005. [Google Scholar]
- 47.US Bureau of the Census Current Populations Survey: 2015 Annual Social and Economic Supplement. Washington, DC: US Bureau of the Census; 2015. [Google Scholar]
- 48.Ryan CL, Bauman K. Educational Attainment in the United States: 2015, Population Characteristics. Current Populations Report P20-578. Washington, DC: Bureau of the Census, 2016.
- 49.Brame R, Turner MG, Paternoster R, Bushway SD. Cumulative prevalence of arrest from ages 8 to 23 in a national sample. Pediatrics. 2012;129(1):21-27. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
eTable 1. Study Sample Characteristics by Attrition Status
eTable 2. Original Study Sample Characteristics by Program Groups and Gender (N = 1539)
eTable 3. Propensity Score Predictors of Participation in the CPC Program
eTable 4. Propensity Score Predictors of Being in the Study Sample
eTable 5. Adjusted Rates and Means for Educational Attainment by Program Groups
eTable 6. Adjusted Rates, Means, and Marginal Effects for Educational Attainment by Program Dosage
eTable 7. Educational Attainment by Program Group Status for Females and Males
eTable 8. Educational Attainment by Gender and Program Dosage
eTable 9. Educational Attainment by Mothers’ Education and Program Groups
eTable 10. Educational Attainment by Mothers’ Education and Program Dosage
eTable 11. Robustness by Analytic Technique for the Program Groups
eTable 12. Robustness by Analytic Technique and Program Dosage
eMethods. Study Background, Measures, and Analysis
eFigure 1. Adjusted Rates for Two Measures of Attainment by Preschool to Third Grade Participation
eFigure 2. Rate Differences in Educational Attainment Between Ages 28 and 35 by CPC Groups
eFigure 3. Adjusted Rates for Two Measures of Attainment by Preschool Participation
eFigure 4. Propensity-Score Weighted Differences by Program Groups

