Abstract
Research examining the longer term influences of child care on children’s development has expanded in recent years, but few studies have considered low-income children’s experiences in community care arrangements. Using data from the Three-City Study (N = 349), this study examines the influences of child care quality, extent and type on low-income children’s development of behavior problems during middle childhood (7–11 years old). Higher levels of child care quality were linked to moderate reductions in externalizing behavior problems. High quality child care was especially protective against the development of behavior problems for boys and African American children. Child care type and the extent of care that children experienced were generally unrelated to behavior problems in middle childhood.
Keywords: CHILD CARE, LOW-INCOME, MIDDLE CHILDHOOD, SOCIAL DEVELOPMENT
Nonparental child care arrangements have become important contexts for early child development in the U.S., with recent national estimates showing that approximately 12.2 million children under age 6 attend child care or preschool programs (Mulligan, Brimhall, & West, 2005). Economically disadvantaged children are slightly less likely than their advantaged counterparts to experience nonparental care during their preschool years, with 65% of children from poor families and 75% of children from non-poor families regularly cared for in child care settings (Mulligan et al., 2005). Yet child care experiences may be particularly salient for low-income children’s health and development. Faced with limited resources in their home environments, low-income children may be especially responsive either to the added supports of stimulating and responsive nonparental care, or to the added risks of poor quality or extensive child care (Dearing, McCartney, & Taylor, 2009; Loeb, Bridges, Bassok, Fuller, & Rumberger, 2007; Magnuson, Ruhm, & Waldfogel, 2007).
Beyond a few model early intervention programs and a handful of short-term longitudinal studies, our knowledge is limited concerning the implications of child care experiences for low-income children’s later development. Whether child care experiences have long-term effects on low-income children’s socioemotional functioning, such as their skills in regulating their emotions and behaviors, getting along with peers, and refraining from inappropriate behaviors, is understudied. Behavioral and emotional skills are essential for early school success and also have long-term implications for children’s mental health and behavioral functioning (Raver, 2002). As children transition into formal schooling and traverse middle childhood, lower problem behaviors and better behavioral skills are central indicators of developmental success with long-term repercussions for healthy functioning (Huston & Ripke, 2006). Indeed, problem behaviors and behavioral/emotional skills that are established in middle childhood exhibit significant continuity across adolescence and even into adulthood (Huston & Ripke, 2006).
Grounded in bioecological models of development (Bronfenbrenner & Morris, 1998; Sameroff, 1994), this study seeks to enhance our understanding of how experiences in early education and care settings shape the development of behavior problems among economically disadvantaged children into middle childhood. Bioecological theory describes human development as the result of proximal processes and reciprocal interactions between individuals and their environments. Driving future development are proximal processes that occur in microsystems, along with the characteristics of individuals that affect the contexts that they select into as well as the experiences that they elicit in these contexts. Within the child care microsystem, this model argues that caregiving experiences as well as children’s individual characteristics together influence future developmental trajectories, with potentially divergent influences for children with different characteristics (Bronfenbrenner & Ceci, 1994; Bronfenbrenner & Morris, 1998).
Effects of Child Care Quality on Children’s Behavior Problems and Socioemotional Functioning
Research to date has identified three aspects of child care experiences that are important potential influences on children’s well-being: quality of care, extent of care, and type of care setting. High quality child care is characterized by caregivers who are warm and responsive, who provide materials and experiences that stimulate learning and emotional support, and who afford consistency and structure. Experiences in high quality care settings promote socioemotional development by helping children learn to regulate their emotions, behaviors and attention, to get along with peers, and to comply with rules and requests. Indeed, research has proliferated documenting the associations between early education and care experiences and children’s socioemotional development. In concurrent and short-term longitudinal studies with large, socioeconomically diverse samples, high quality child care has been found to predict modestly lower behavior problems and negative affect as well as enhanced peer relations, sociability, and compliance (e.g., Love et al., 2003; NICHD Early Child Care Research Network (ECCRN), 1998; 2001). If children show improved regulation, affect, and peer skills in early childhood in relation to child care experiences, it is hypothesized that these skills will carry forward, promoting an easier transition into formal schooling and in turn leading to better social functioning later in childhood (National Research Council and Institute of Medicine, 2000). There is little existing evidence, however, that links between child care quality and early socioemotional functioning endure into middle childhood. Findings from the NICHD ECCRN (2005; Belsky et al., 2007) suggest that child care quality from birth through preschool does not predict behavior problems or other measures of social functioning in middle childhood. Similarly, results from the Cost, Quality, and Outcomes Study found no links between quality of child care during preschool and socioemotional functioning in 2nd grade, although significant links were identified between teacher-child closeness during early child care and lower behavior problems during middle childhood (Peisner-Feinberg et al., 2001).
There is a notable paucity of research assessing the effects of child care quality on economically disadvantaged long-term behavioral functioning. Though the studies discussed above include children from a range of socioeconomic backgrounds, most children were from middle-class families. In contrast to the experiences of more affluent children, economically disadvantaged families tend to face high levels of stress and have limited resources to invest in children, leading to less stimulating, responsive, and emotionally supportive home environments (Magnuson & Votruba-Drzal, 2009). Such economic disparities have implications for children’s development of behavior problems (Duncan & Brooks-Gunn, 1997; Votruba-Drzal, 2006). High quality nonparental care settings may protect economically disadvantaged children by providing them with opportunities and experiences that facilitate the mastery of central developmental challenges in early and middle childhood (Dearing al., 2009).
Model early intervention programs, such as the Perry Preschool Project and the Abecedarian Program, show that high quality early child care experiences, combined with comprehensive services for children and families, protect low-income children against significant behavioral problems later in life such as juvenile delinquency and incarceration (Campbell, Ramey, Pungello, Sparling, Miller-Johnson, 2002; Schweinhart, et al., 2005). These interventions were administered by highly trained professionals and provided multifaceted services to low-income children and families. In contrast, recent research indicates that the quality of child care typically experienced by economically disadvantaged children is highly variable and indeed, often rated as inadequate in meeting children’s developmental needs (Li-Grining & Coley, 2006; Fuller, Kagan, Loeb, & Chang, 2004), questioning the generalizability of results from such model intervention programs.
Virtually no studies have considered whether the quality of child care available in low-income communities provides long-term protection against behavior problems for economically disadvantaged children. The Peisner-Feinberg et al. study (2001) found the protective effects of teacher-child closeness on behavior problems to be sustained more strongly among children of mothers with low education, which was used as a proxy for low-income. Assessing low-income children from the Three-City Study, Votruba-Drzal, Coley and Chase-Lansdale (2004) found that the quality of child care experienced by preschool-age children (average age of 3 years) predicted improvements in socioemotional functioning over a 1 ½ year period, with higher quality care reducing internalizing and serious externalizing behavior problems and enhancing positive behaviors. Similar results were reported by Loeb, Fuller, Kagan and Carrol (2004) using a different sample of low-income children. It is unknown whether such short-term protective effects of child care quality on low-income children’s behavioral functioning extend to middle childhood.
Extent of Child Care Use and Children’s Behavior Problems and Socioemotional Functioning
Along with child care quality, the extent of nonparental care that children are exposed to is a salient dimension of early experiences in child care. Increasing evidence suggests that extensive experience in nonparental care during the early years may be harmful for behavioral functioning. Early, extensive nonparental care may threaten behavioral development by undermining maternal sensitivity, as mothers have less time to spend with young children and become familiar with their signals (NICHD ECCRN, 1999), or by imposing high levels of stress on young children associated with extended peer exposure that taxes their nascent self-regulatory and social skills. In a series of studies using data from the NICHD Study of Early Child Care, the NICHD ECCRN (1998; 2003; 2005) and Belsky and colleagues (2007) found positive links between the quantity of care children experienced and externalizing behavior problems during early childhood, although these effects faded out by middle childhood. Negative links also emerged between the hours children were in care and their social competence; these results remained through the transition to middle childhood (age 8), but faded thereafter becoming nonsignificant by the end of middle childhood (age 12). It is important to note that in the NICHD study, child care characteristics were measured from age 3 months through 54 months. The extent of care that children experienced across early childhood was quite stable, such that children who experienced extensive care during infancy tended to do so consistently throughout early childhood (NICHD ECCRN, 2003). Thus, NICHD measures of the quantity of care tap into both early entry and extensive hours of child care, and research with this sample has not been able to determine whether negative effects are due to early entry, to extensive hours of care, or to some combination of these two factors.
It is unknown whether a detrimental effect of extensive nonparental care will emerge among low-income children. Recent work assessing extent of child care during preschool years (e.g., after infancy but prior to kindergarten) has found no negative effects for low-income children. A recent study using a nationally representative sample found no detrimental effects of high hours in center care for low-income children’s behavioral functioning in kindergarten, although negative effects were apparent among middle and high-income children (Loeb, et al., 2007). Similarly, longitudinal studies with low-income samples suggest no effects of extent of care (Love et al., 2003; Votruba-Drzal, et al., 2004). One recent study of Canadian children found that an earlier age of onset of nonparental care (prior to 9 months) was protective against the development of externalizing behavior problems for children of mothers with low education, although the extent of care per week was not a significant predictor of behavior problems (Côté, Boivin, Nagin, Japel, Xu, Zoccolillo, & Tremblay, 2007).
Type of Care and Children’s Behavior Problems and Socioemotional Functioning
A third important aspect of early care experiences are captured by the type of care they experience, that is care provided in child care centers or prekindergarten programs versus daycare homes or informal care arrangements with relatives or babysitters. Formal child care centers typically have more educated care providers and higher developmental quality. Home arrangements, on the other hand, on average have notably smaller group size and lower child-adult ratios, often include relatives of the child as the care provider, and provide more flexible and accessible care to families (Coley, et al., 2006; Li-Grining & Coley, 2006). Though beneficial for academic development, recent evidence with large and nationally representative samples suggests that center-based care is linked to elevated levels of externalizing problems in early childhood and that these associations are evident through middle childhood (Belsky et al., 2007; Magnuson, et al., 2007). Although some argue that center-based care is less developmentally appropriate for infants in particular in comparison to home-based arrangements (Loeb et al., 2007), negative effects of center care on behavioral functioning have emerged when considering center care use in the preschool years (e.g., Magnuson et al., 2007) or including both infancy and preschool (e.g., Belsky at al., 2007). Although there is little research specifying the mechanisms of these effects, center-based care arrangements, with larger group sizes, fewer adults, and frequent staff changes, may challenge young children’s self regulatory skills and provide greater opportunities for negative peer interactions (Dowsett, Huston, Imes, & Gennetian, 2008). Recent studies have further argued that these harmful effects of center care on children’s behaviors are stronger among poor children in comparison to their more advantaged counterparts (Loeb et al., 2007; Magnuson et al., 2007). It is interesting to note, however, that when studies are able to separate effects of child care quality, extent, and type, no detrimental effects of center care have been found for low-income preschoolers’ behavioral functioning (Loeb et al., 2004; Votruba-Drzal et al., 2004). It is unclear whether such effects might emerge later during middle childhood.
Does Child Care Quality Matter More for Certain Children?
Bioecological theories of development suggest that individual characteristics may interact with environmental experiences to influence future development (Bronfenbrenner & Morris, 1998; Sameroff, 1994). In the realm of child care, we hypothesize that the effects of early experiences in nonparental care settings may differ based on characteristics of the developing child, such as gender and race/ethnicity. A variety of factors may lead to differential effects of early child care experiences on behavior problems related to child gender. These factors include gender differences in the development of inhibitory control (Kochanska, Murray, Jacques, Koenig, & Vandegeest, 1996) and in the nature of children’s social interactions in same-sex peer groups (Fabes, Hanish, & Martin, 2003; Maccoby 1998), as well as boys’ overall greater vulnerability and reactivity to psychosocial stress (Zaslow & Hayes, 1986). If boys exhibit lower inhibitory control or greater peer conflict or show greater reactivity to stress, then the environmental challenges and opportunities imposed by nonmaternal care may have elevated effects on boys’ psychosocial functioning.
A handful of recent studies have considered whether characteristics of nonpaternal care settings (e.g., quality, quantity, and type) are differentially related to children’s behavioral functioning for girls versus boys. Most recent research has found no evidence of gender moderation in either the short or long term (Belsky et al., 2007; Burchinal, Peisner-Feinberg, Bryant, & Clifford, 2000; Peisner-Feinberg et al., 2001). On the other hand, recent research with low-income children from the Three-City Study found that high quality child care appeared more protective for boys than girls when it came to the development of externalizing behavior problems, and low-quality care seemed to be especially risky for boys’ development of serious internalizing behavior problems (Votruba-Drzal et al., 2004).
Another child characteristic that may moderate associations between early nonmaternal care experiences and the development of behavior problems in middle childhood is child race/ethnicity. Conceptual models highlight the importance of considering child care settings within the context of children’s ethnic and cultural backgrounds, taking into account the ecological contexts of home and care settings (Johnson et al., 2003). A number of studies have reported race/ethnicity differences in the use of child care, with African American families more likely to access center-based care, and Hispanics more likely to use informal kin care (Fuller, Holloway, & Liang, 1996; Radey & Brewster, 2007). Only recently has research begun to ask explicitly whether characteristics of child care settings (e.g., quality, type, and quantity) have differential effects on children’s development across sociocultural contexts.
Two contrasting hypotheses have been proposed regarding child care effects across children from socioculturally diverse backgrounds. One argument is that high quality child care can have an enhanced protective role for children experiencing risks from factors such as poverty, racial discrimination, or immigrant/non-English-speaking status which might limit children’s and families’ access to economic and social resources. Similarly, poor quality child care may be particularly detrimental for such children. A contrasting argument suggests that child care settings may not meet the culturally-specific needs of children from ethnic minority families (Burchinal & Cryer, 2003). Or, our current measures of child care quality may not be valid for ethnic minority children. These arguments would suggest that links between child care quality and child well-being would be attenuated among specific groups of ethnic minority children (Burchinal & Cryer, 2003).
Assessing two large, longitudinal studies of child care quality (the NICHD study and the Cost, Quality, and Child Outcomes Study), Burchinal and Cryer (2003) found support for neither argument. Rather, their results suggest that highly-used measures of child care quality are equally valid and reliable across African American, Hispanic, and White samples, and further that quality is similarly predictive of children’s cognitive and socioemotional skills during the preschool years (see also Burchinal et al., 2000). It is important to note, however, that their samples had numerous limitations, particularly in regards to the percentage of Hispanic families, leading to questions concerning generalizability. In contrast, a recent study using data from the ECLS-K found that center-based care was not related to heightened behavior problems among English-proficient Hispanic children but was a particularly strong predictor of behavior problems for African American children in kindergarten (Loeb et al., 2007). Furthermore, a third recent study found a particular aspect of child care quality, relationship-focused care, to be predictive of less adaptive functioning for Hispanic children, but not related to functioning among African American children (Owen, Klausli, Mata-Otero, & Caughy, 2008). Together, these results suggest that the interactions between child care characteristics and children’s ethnic backgrounds are complex and deserving of continued careful attention.
Research Aims
The current investigation aims to strengthen understanding of how low-income children’s early education and care experiences shape their development into middle childhood. First, we will examine whether there are long-lasting associations between the developmental quality, extent, and type of child care settings low-income children experience and the development of their behavior problems into middle childhood. Second, consistent with the bioecological model of child development, we will explore whether associations between dimensions of child care settings and low-income children’s development vary according to two key child characteristics-gender and race/ethnicity.
Method
Data for this paper were drawn from the Three-City Study, a longitudinal, multi-method study of the well-being of low-income children and families in the wake of welfare reform. Two components of the Three-City Study were used, the main survey and the Embedded Developmental Study (EDS). The main survey was conducted with a household-based, stratified random sample of about 2,400 low-income children (aged 0 to 4 or 10 to 14 years) and their primary female caregivers in low-income neighborhoods in Boston, Chicago, and San Antonio. Three survey waves were conducted, in 1999 (90% screening rate and 83% interview completion rate), 2000–2001 (88% retention rate), and 2005 (80% retention rate from wave 1). During each wave of the main survey, mothers participated in an in-home interview and children aged two and older completed individualized cognitive achievement assessments. The Embedded Developmental Study (EDS) portion of the Three-City Study provided a more intensive view into the lives of the preschool-aged children (2 to 4 years) from the main survey. The goal of the EDS was to capture rich detail about children’s primary caregivers and early environments, assessed through additional mother interviews and videotaped assessments of mother-child interactions, biological father interviews, and observations of child care settings and interviews with child care providers. Children were eligible for the child care component of the EDS if they were in child care for 10 hours or more per week: 49% of 737 EDS children in wave 1 and 40% of 670 children in wave 2 were eligible. After obtaining permission from the mother and the child care provider, children were observed in their primary child care setting for at least 2 hours, and the child care providers were interviewed. The response rate for the child care component of the EDS was 70% in wave 1 and 73% in wave 2.
The current paper is based on 349 families who participated in a child care observation at either wave 1 or wave 2. Comparisons of the children in our sample to the broader sample of 2–4 year olds in the Three-City Study revealed few significant differences, with the exception that the children in our sample were more likely to be African American and less likely to have parents who were employed and had slightly higher levels of education. Among the 349 children in the analytic sample, 5% were missing wave 1 child behavior problems measures, 19% were missing a child care observation at one wave, 16% were missing data on at least one covariate, and 21% were missing wave 3 child behavior problems measures. Our analysis of missing data suggested that the data were missing at random. Missing data were imputed using multiple imputation by chained equations (MICE) implemented in Stata 10 to create ten complete data sets (Royston, 2004, 2005), which were then analyzed using mim commands in Stata. Based on the relative efficiency calculation by Rubin (1987), ten imputations were deemed sufficient for the level of missing data in our study.
Analytic Approach
A major challenge when considering child care’s influence on children’s development involves disentangling whether child care characteristics truly enhance development or whether it is simply the case that more advantaged parents have children who are more developmentally advanced and also choose higher quality child care. Certain characteristics of children and families, such as race/ethnicity, income, parental education and employment, social support, and children’s age and gender, influence parents’ decisions regarding child care (Fuller et al., 1996; Singer, Fuller, Keiley, & Wolf, 1998). Most studies have controlled for a variety of family differences that might influence both family decision-making and children’s development in order to isolate less-biased estimates of child care’s influence. Since it is impossible to measure all important family characteristics, an additional strategy is to limit the influence of unmeasured variables statistically.
In the current analyses, associations between child care characteristics and the development of behavior problems in middle childhood were modeled using a longitudinal lagged regression model that is based on an accumulation of inputs framework, which has been articulated most clearly in the work of NICHD Early Child Care Research Network and Duncan (2003) and Blau (1999). This model suggests that child i’s development at time t is an additive function of all child care, maternal, child, and household inputs to a child’s development prior to that point in time. So, for example, as shown in Equation 1, behavior problems during middle childhood (wave 3) are expressed as a function of child care characteristics, including the type of care arrangement, number of hours spent in care, and the quality of the care that children have experienced across wave 1 and wave 2 of the study.
1 |
To reduce the threat of selection bias posed by measured characteristics of children and families, a series of child, maternal, and household factors aggregated over waves 1 and 2 of the survey were included in the models as covariates. Covariates included child age, gender, and race/ethnicity as well as maternal education, employment, and marital status. Each of these factors has been associated with characteristics of early care experiences and behavior problems in prior research. Thus, the failure to include these variables in our analysis may result in omitted variable bias. A time 1 measure of the same child outcome that was being modeled as the dependent variable at time 3 was included as an additional covariate in the model to reduce omitted variable bias further. The regression coefficients are thus interpreted as the effects of each independent variable on changes in behavior problems over time (Kessler & Greenberg, 1981). Including the time 1 child outcome as a covariate allows us to control for unmeasured, time-invariant differences in children that were present at the first interview (Cain, 1975; Chase-Lansdale et al., 2003). In this model, unmeasured, time-varying characteristics of children that may be related to child care selection at time 1 or time 2 and children’s development over time may continue to bias estimates of the relation between child care characteristics and children’s development.
In addition to considering main effects of child care experiences, we explored whether or not the effects of child care type, extent and quality vary as a function of a child’s gender and race. This was done by adding interactions between child care characteristics and both child gender and race/ethnicity to our model followed by a series of post-hoc regression analyses to compare the non-reference race/ethnic groups. All analyses were weighted with probability weights, which strengthen our ability to make inferences to our population of interest, which includes all children living in low-income neighborhoods in Boston, Chicago, or San Antonio in households with incomes less than 200 percent of the poverty line.
Measures
Child Care Characteristics
The global developmental quality of each child’s care arrangement was measured during child care observations at wave 1 and wave 2 using widely-used and well-validated instruments. Center-based care arrangements were rated using the Early Childhood Environment Rating Scale – Revised (ECERS, Harms, Clifford & Cryer, 1998). The quality of day care homes and informal home care arrangements was measured using the Family Day Care Rating Scale (FDCRS, Harms & Clifford, 1989). Fifteen percent of the observations were independently double-coded, with average intraclass correlations (ICC) at the subscale level of .90 in wave 1 and .89 in wave 2 for the ECERS-R and .98 and .99 for the FDCRS. The Arnett Scale of Provider Sensitivity (Arnett, 1989) was used to measure the emotional and behavioral relationships between the care providers and children in both center- and home-based care arrangements. The Arnett Scale (αT1 = .94 and αT2 = .92) supplemented items related to the teacher-child relationships on the ECERS and FDCRS which focus more on supervision and discipline. Composite scores had average ICCs of .81 and .82 at waves 1 and 2. A global child care quality composite (αT1 = .94 and αT2 = .91) was created at each wave by combining subscales from the ECERS or FDCRS with the composite score from the Arnett (Growing Up in Poverty Project, 2000; Votruba-Drzal et al.,2004). The total quality scores from wave 1 and wave 2 were then averaged to reflect the average level of child care quality that children experienced across the first two waves of the study.
The extent of child care children experienced was measured using maternal reports of the number of hours per week that children were in child care at wave 1 and wave 2 of the survey. These numbers were then averaged to create a composite measure of the extent of care that children experienced across wave 1 and wave 2 of the survey. Child care type was coded with dummy variables indicating whether children experienced consistent center care across both waves of the survey, center care at one wave only, or consistent home-based care across waves 1 and 2 (omitted).
Behavior Problems
Behavior problems were measured using mothers’ reports on the age-appropriate version of the Child Behavior Checklist (CBCL) (Achenbach, 1991, 1992; Achenbach & Rescorla, 2001). Analyses focused on the internalizing and externalizing behavior problems subscales. The CBCL internalizing scale (α = .83 to .87) focuses on anxiety, depression, withdrawal, and somatic complaints, whereas the externalizing scale (αT3 = .90 to .91) includes items related to aggression and rule breaking. Standardized (t-scores) subscale scores from wave 3 were used as dependent variables, with scores from wave 1 included as covariates to reduce bias related to unobserved heterogeneity. We also included an indicator for whether the 2–3 year old version or the 4–18 year old version of the CBCL was used in wave 1, to control for differences in instrumentation.
Child Characteristics
Child characteristics included as covariates included child age at wave 3 represented in months, and gender. Child race was represented with a series of dummy variables indicating whether the child is of Hispanic (omitted), non-Hispanic African American, or White/other non-Hispanic origin. Child characteristics were obtained via mother report.
Maternal and Household Characteristics
Several maternal and household characteristics averaged across wave 1 and wave 2 also were included as covariates. Covariates included maternal education (greater than a high school education versus a high school degree or less), employment (employed at least 10 hours per week versus not), and marital status (married versus not). Characteristics of children and mothers are presented in Table 1 along with descriptive information about their child care arrangements. Children in the analytic sample averaged 3 years in the first wave (range 2 to 5 years) and averaged 9 years in the third wave (range 7 to 11). They were primarily African American (55%) and Hispanic (37%) and most lived with single mothers (84%) with relatively low education. Bivariate correlations of the child care and behavior problems variables are available from the first author by request.
Table 1.
Mean | S.D. | |
---|---|---|
Child Care | ||
Quality | 4.30 | 1.25 |
Type of carea | ||
Stable Center Care | 24.50 | 43.02 |
Ever Center Care | 28.30 | 45.08 |
Home Care | 47.10 | 49.92 |
Hours per week | 30.40 | 14.60 |
Child Behavior Problems T-Scores | ||
Internalizing Wave 1 | 51.67 | 10.16 |
Internalizing Wave 3 | 52.03 | 10.44 |
Externalizing Wave 1 | 51.92 | 10.28 |
Externalizing Wave 3 | 53.96 | 10.29 |
Child Characteristics | ||
Age | 110.94 | 9.90 |
Boya | 52.43 | 49.94 |
Racea | ||
White/other | 6.26 | 24.23 |
African American | 57.55 | 49.43 |
Hispanic | 36.17 | 48.05 |
Maternal Characteristics | ||
Education a | ||
High school education or less | 47.21 | 49.92 |
Greater than high school | 52.78 | 49.92 |
Employed a | 60.60 | 37.19 |
Married a | 21.27 | 37.15 |
CBCL 2-3 year old version a | 73.98 | 43.87 |
Proportions
Results
Child Care Characteristics and Low-Income Children’s Development in Middle Childhood
Results from lagged Ordinary Least Squares (OLS) regressions on children’s behavior problems in middle childhood (i.e. at wave 3) are presented in Table 2. Child care quality was linked to significant reductions in externalizing behavior problems over time. The magnitude of this association was modest in size. A one standard deviation increase in the child care quality composite was linked to .26 of a standard deviation decline in externalizing behavior problems. The association between child care quality and internalizing behavior problems in middle childhood was also negative and of a relatively similar size (.15 of a standard deviation), but failed to reach conventional levels of statistical significance (p=.10). Controlling for the quality of care, neither the type of child care that children experienced nor the extent of care were significantly related to the development of behavior problems in middle childhood.
Table 2.
Internalizing | Externalizing | |||
---|---|---|---|---|
Coefficient | SE | Coefficient | SE | |
Child Care | ||||
Quality | −1.29 | 0.79 | −2.16 * | 0.89 |
Type of care | ||||
Stable Center Care | −1.97 | 2.31 | −0.51 | 2.92 |
Ever Center Care | −0.42 | 1.95 | 1.47 | 1.85 |
Hours per week | −0.03 | 0.06 | −0.04 | 0.06 |
Child Characteristics | ||||
Age | 0.18 | 0.12 | 0.17 | 0.11 |
Race | ||||
White/other | 2.25 | 3.96 | 5.01 t | 2.70 |
African American | −3.86 t | 1.95 | 1.71 | 2.01 |
Boy | 1.13 | 1.70 | −0.96 | 1.56 |
Maternal Characteristics | ||||
Education | ||||
Greater than high school | 1.73 | 1.76 | −0.37 | 1.62 |
Employed | 0.96 | 2.25 | −2.25 | 2.36 |
Married | −0.48 | 2.43 | −1.66 | 2.18 |
CBCL 2–3 year old version | 2.94 | 2.71 | 6.06 * | 2.69 |
Child outcomes wave 1 | 0.36 *** | 0.08 | 0.29 *** | 0.08 |
Note.
p < .001.
p < .01.
p < .05.
t< .10
The relatively high correlation between stable center care and average quality in our data (r = .47) is consistent with the literature on child care for low income families, but raises concerns when the measures are analyzed simultaneously in a regression model. Thus, we ran an additional set of model specifications to consider whether the quality findings hold when the measure of child care type is excluded from the models and to confirm that we do not detect a significant effect of center care when child care quality is dropped from the model. When the measure of child care type was dropped from the regression models presented in Table 2, the negative effects of child care quality on both internalizing (B = −1.62, t = −2.31, p < .05) and externalizing (B = −2.15, t = −2.81, p < .01) behavior problems strengthened slightly. When child care quality was excluded from the models presented in Table 2, associations between child care type and both internalizing and externalizing problems remained nonsignificant at conventional levels, although stable center care did predict declines in internalizing problems at a level bordering significance (B = −4.07, t = −2.08, p = .05). This set of specifications helps strengthen our certainty that child care quality is the predominate factor in our models protecting against the development of behavior problems during middle childhood.
Child Characteristics as Moderators
The second set of analyses considered whether associations between child care characteristics and children’s development varied as a function of child gender and race/ethnicity. Before delving into the results of these analyses it is important to consider whether there are significant differences related to child gender and race/ethnicity when it comes to our primary variables of interest. There were no significant differences in average levels of behavior problems by gender or race/ethnicity at wave 1 or wave 3. Nor were there significant differences in average child care characteristics by child gender. Characteristics of child care experiences were similar by race/ethnicity as well, with the exception that the average level of child care quality of children falling into the White/Other race/ethnic category was significantly higher than the average level of quality for both African American and Hispanic children.
Child Care Characteristics and Gender
Regression results indicated that child gender moderated the link between child care quality and children’s functioning (see Table 3). Specifically, high-quality child care appeared to be especially protective for boys’ development of internalizing behavior problems. The results for externalizing behavior problems suggest a similar pattern, but the interaction term did not reach statistical significance. A standard deviation increase in the child care quality composite was associated with .37 more of a standard deviation decline in internalizing behavior problems for boys when compared to girls. There was also some evidence to suggest that child care type showed different patterned links with boys’ and girls’ behavior problems, with a tendency for center care (i.e., one wave of center care and two waves of consistent center care) to be more protective for girls than boys when it came to the development of internalizing problems, when comparing center care to home-based care. This same pattern emerged for externalizing behavior problems, but this interaction was not statistically significant. Finally, consistent with the results of the main effects models, no significant associations were observed between the extent of child care and the development of behavior problems for boys or girls.
Table 3.
Internalizing | Externalizing | |||
---|---|---|---|---|
Coefficient | SE | Coefficient | SE | |
Main Effects | ||||
Child Care | ||||
Quality | 1.89 | 1.30 | 0.86 | 1.71 |
Type of care | ||||
Stable Center Care | −10.56 * | 4.58 | −5.77 | 5.90 |
Ever Center Care | −3.81 | 3.35 | −4.22 | 3.44 |
Hours per week | 0.04 | 0.08 | −0.02 | 0.08 |
Child Characteristics | ||||
Age | 0.18 | 0.12 | 0.18 | 0.12 |
Race | ||||
White/other | −2.47 | 16.71 | −1.45 | 14.48 |
African American | 7.55 | 8.92 | 13.59 | 8.75 |
Boy | 11.72 | 8.92 | 4.15 | 7.45 |
Maternal Characteristics | ||||
Education | ||||
Greater than high school | 1.51 | 1.70 | 0.27 | 1.60 |
Employed | 1.27 | 2.28 | −2.14 | 2.25 |
Married | −0.65 | 2.40 | −2.61 | 2.30 |
CBCL 2–3 year old version | 3.07 | 2.62 | 6.23 * | 2.60 |
Child outcomes wave 1 | 0.39 *** | 0.08 | 0.29 *** | 0.08 |
Gender by Child Care Interactions | ||||
Boy by Quality | −3.05 * | 1.43 | −1.99 | 1.42 |
Boy by Stable Center | 7.85 t | 4.58 | 4.94 | 4.71 |
Boy by Ever Center | 6.65 t | 3.87 | 4.82 | 3.55 |
Boy by Hours | −0.04 | 0.13 | 0.03 | 0.13 |
Race by Child Care Interactions | ||||
African American by Qualitya | −2.35 | 1.55 | −3.13 * | 1.51 |
African American by Stable Centera | 6.28 | 4.78 | 3.64 | 4.95 |
African American by Ever Centera | 0.64 | 3.92 | 4.48 | 3.83 |
African American by Hoursa | −0.10 | 0.11 | −0.02 | 0.13 |
White/other by Qualityb | 0.21 | 3.42 | 1.77 | 2.61 |
White/other by Stable Centerb | 8.29 | 10.76 | −0.08 | 8.26 |
White/other by Ever Centerb | −3.68 | 8.94 | 2.09 | 6.92 |
White/other by Hoursb | 0.04 | 0.14 | −1.31 | 0.16 |
Note.
p < .001.
p < .01.
p < .05.
t < .10
African American children compared to Hispanic children
White/other children compared to Hispanic children
Child Care Characteristics and Race/Ethnicity
The association between child care quality and behavior problems in middle childhood also varied as a function of race/ethnicity. The results presented in Table 3 show that child care quality seemed to be especially protective against the development of behavior problems among African American children. Greater child care quality was related to significantly greater reductions in externalizing behavior problems for African American children than for both Hispanic and White/other children. Although this interaction between child care quality and child race/ethnicity did not reach statistical significance for internalizing behavior problems, the same pattern of results emerged.
Discussion
Utilizing multi-method data from a representative sample of young children in low-income neighborhoods, this study extends existing research by assessing longer term effects of child care characteristics on the development of behavior problems through middle childhood. In this analysis, we asked whether three aspects of child care experiences predicted behavior problems: the global developmental quality of care, the extent of care, and care type. It is important to note that in this study, we assessed children’s experiences in child care during their preschool years; the data did not include information on nonparental care during infancy.
The Importance of Child Care Quality
The most consistent results from this analysis highlight the importance of the quality of care in the reduction of problem behaviors. Using well-validated, standardized observational measures of the global developmental quality of the care provided by child care settings and controlling for the type and extent of care, we found that higher quality care was protective against the development of behavior problems in middle childhood. Children who attended more responsive, stimulating, and well-structured care settings than their peers during their preschool years showed reductions in externalizing behavior problems by mid-elementary school. The pattern of results was similar for internalizing behavior problems, though insufficiently precise to reach statistical significance. This means, of course, that the reverse was true as well: children attending lower quality child care showed more elevated behavior problems than their peers by mid-elementary school.
These results extend a very limited and contradictory base of research concerning whether child care quality shows longer-term links with socioemotional functioning into middle childhood. Peisner-Feinberg and colleagues (2001), for instance, found positive effects of close teacher-child relationships but not global developmental quality on 2nd graders’ social functioning, whereas other research has unearthed longer-term benefits of high quality care on cognitive skills but not socioemotional functioning into middle childhood. For example, the NICHD study found that high quality care from birth through age 5 predicted higher cognitive scores in third and fifth grades (NICHD ECCRN, 2005; Belsky et al., 2007), but found no effects on behavior problems or socioemotional functioning among their notably more advantaged sample.
Why might our results differ so substantially from those derived from more economically advantaged samples? A risk and resilience framework may be useful in reconciling these differences (Masten, Best, & Garmezy, 1990). Children in our sample, primarily from ethnic minority, single-parent families with extremely limited economic resources and residing in high poverty urban neighborhoods, likely faced an accumulation of risks across multiple contexts. While most children have the resources to cope with one risk without serious developmental consequences, the cumulative risk perspective suggests that the accumulation of risk across settings leaves children vulnerable to maladaptive psychosocial functioning (Friedman & Chase-Lansdale, 2002). Faced with contextual risks from multiple sources, high quality, responsive, and stimulating child care settings may serve as a protective factor, or source of resilience, for young children to avoid problematic behavior and to develop nascent emotional and behavioral skills in self-regulation, peer interactions, and conflict management during their early school years. Similarly, low quality child care may exacerbate the existing risks children experience. Indeed, it is interesting to note that the current results show stronger and more consistent effects of child care quality on behavior problems than found by Votruba-Drzal and colleagues (2004) looking at short-term effects predicting children’s well-being during early childhood.
A second set of core findings from this study indicated that particular subgroups of children were driving our findings related to child care quality. Based upon bioecological theory which suggests that the effects of contextual experiences may differ in response to characteristics of the individual, we hypothesized that child gender and race/ethnicity may moderate links between child care and children’s development of behavior problems. Our results supported this hypothesis. Regarding gender, our findings suggest that higher quality early education and care experiences were particularly important for boys. Child care quality more strongly predicted a decline in boys’ than girls’ internalizing behavior problems and a similar pattern of results was evident for externalizing problems though it was not statistically significant. The behavior problems of boys may be more responsive to the quality of their early nonmaternal care arrangements due to their greater challenges with self-regulation, wherein boys tend to have lower levels of inhibitory control and physiological regulation than girls (Kochanska, et al., 1996; Dettling, Parker, Lane, Sebanc, & Gunnar, 2000). Moreover, during preschool, boys’ peer interactions appear to incorporate more conflict and roughness than girls’ play, with the latter involving more verbal interactions and cooperation (Fabes, et al., 2003; Maccoby, 1998). Thus, as noted by Votruba-Drzal and colleagues (2004), more responsive and well structured child care settings may provide an important support to boys in helping to regulate their behaviors and emotions and supervise their play in a productive manner.
In addition to this gender moderation, results also found that race/ethnicity was important. More specifically, child care quality was particularly protective against the development of behavior problems for African American children when compared to Hispanic and White/other children. When they were cared for in high quality settings, African American children experienced greater declines in externalizing behavior problems than both Hispanic and White/other children. The same pattern of results emerged for internalizing problems, though the interactions were not statistically significant. These results may be related to the greater acceptance and wider use of formal child care and maternal employment among African American children, resulting in a better match between families’ goals and expectations and child care settings. As noted by Johnson and colleagues (2003), in understanding ethnic minority families’ experiences in child care we must attend to their broader cultural and ecological contexts. Based upon theories of person-environment fit and models of competency in children of color (Garcia Coll et al., 1996; Johnson et al., 2003), this conceptualization argues that children’s development must be understood in context, with minority children’s contexts affected by their social and cultural location. Hispanic families may have fewer social norms concerning maternal employment and nonmaternal care provision; they also may experience greater disconnects between the language environment of child care settings and home settings (Magnuson & Waldfogel, 2005). Indeed, other research has found that Hispanic parents, particularly in immigrant families, are less likely to access a broad range of social services in addition to formal child care and these restrictions are linked with poorer outcomes for children (Kalil & Chen, in press).
If the context of the care setting provides a stronger fit with the family preferences and cultural norms of African American children, whereas language or cultural disconnects between home and care settings inhibit person-environment fit for Hispanic children, we would expect that supportive characteristics of care settings such as high quality, structured, responsive care giving would have a stronger beneficial effect on African American children’s development. Supporting the tenets of bioecological theory, this proposition argues that environmental experiences (e.g., child care) are both affected by and interact with individual characteristics of the child and family. Indeed, other research with the Three-City Study child care sample found that African American mothers reported greater satisfaction with their child’s care setting than did Hispanic and White mothers, and also reported (nonsignificantly) higher levels of communication and comfort with the care provider (Coley et al., 2006). Future research should seek to explore these interactions more closely, for example assessing whether a match between the language or ethnicity of the care provider and the child improves the quality of the child’s care experiences and enhances the beneficial effects of high quality care or the detrimental effects of early entry or long hours in nonparental care settings on children’s development.
It is interesting to note that the stronger beneficial effects of child care quality for African American than for Hispanic children found in the current research contrast with a lack of ethnic moderation found in larger-scale studies assessed by Burchinal and Cryer (2003). As the authors remind us, those larger-scale studies included extremely small samples of Latino families and excluded families who were not fluent in English. They also had small groups of low-income families. Though our sample is smaller, it is representative of low-income families in our three cities, and includes both English and Spanish speaking Hispanic children, with approximately 20% of children residing in immigrant families. It is possible that this more representative sample of low-income, ethnic minority children was better poised to unearth important ethnic differences in the effects of child care on children, over a longer time period. Given the paucity of research in this arena and the continuing notable expansion of ethnic diversity in the U.S., continued assessment of ethnic and cultural variation in child care effects on child well-being is clearly warranted.
Limited Results for Child Care Type and Extent
In addition to the quality of child care, this study also assessed the effect of child care type and the extent of use. As mentioned previously, studies using data from the NICHD SECCYD and the ECLS-K have uncovered harmful effects of extensive or early-initiated child care on behavior problems, some of which endure in middle childhood (Belsky et al., 2007; Loeb et al., 2007). Similarly, these studies have found that the use of center-based care is linked with heightened behavior problems continuing into elementary school, albeit also with enhanced cognitive skills (Belsky et al., 2007; Loeb et al., 2007; Magnuson et al., 2007;NICHD ECCRN & Duncan 2003). These patterns were not replicated in this study. Categorizing children’s preschool experiences over two waves as being housed consistently in home care settings, consistently in formal center care, or inconsistently in center care, and measuring the hours per week children experienced child care, we found that neither care type nor extent were linked to behavior problems in middle childhood. One exception to this pattern was a trend finding which suggested that center care in comparison to home-based care may be beneficial for girls but not boys when it comes to the development of internalizing problems.
In comparing these results to other longitudinal studies, it is important to note that we did not assess hours of care or center care starting in infancy, but focused only on the preschool years. Extensive and large-group care settings may be more taxing for infants and toddlers than preschool-age children. Moreover, returning to the risk and resilience perspective noted above, it is possible that for children in high poverty neighborhoods and families, the challenges of center care or extensive child care may not pose a measurable burden in isolation. Facing enhanced rates of residential moves and relationship transitions in comparison to advantaged families, poor children may react in a less discernable fashion to the extent and type of child care, with process variables like quality holding greater importance. Indeed, a previous shorter-term study with the Three-City Study sample found that extent of care was linked with behavior problems only in interaction with the quality of care: more extensive experience in high quality care predicted decreased behavior problems, whereas extensive experience in low-quality care predicted increases in behavior problems (Votruba-Drzal et al., 2004).
Conclusions
This study provides an important addition to existing research on child care arrangements and children’s developmental trajectories. Overall, our results highlight the importance of the developmental quality of care experiences for disadvantaged young children, arguing that high quality child care experiences can have a sustained influence on children’s behavioral functioning, through their transition to formal schooling and into middle childhood. Early child care quality is important for understanding low-income children’s ability to function effectively in school, get along with their peers, and control their impulses. Future research should seek to assess a broader array of behavioral and emotional functioning measures, for example assessing prosocial behaviors and social skills.
This study has several strengths. One is the sampling of the Three-City Study, which provides an in-depth look at a representative sample of young children and their families living in economic disadvantage, at both the family and community levels, in three cities. As such, this sample, whose experiences of urban poverty place children at notable risk for maladaptive social functioning, represents a population of significant concern to policy makers and practitioners. Increasing understanding of what types of supportive services can enhance the well-being of such children is of paramount importance for practitioners and policy makers. Moreover, our study focuses on children and families’ experiences in community care, which are the care settings that disadvantaged parents have been able to access in their communities. Although model early intervention studies have provided centrally important information on how to productively intervene and provide bundles of high-quality services to disadvantaged families, such studies cannot tell us whether their findings can be generalized to the types of services to which disadvantaged families actually have access.
It is also important to point out limitations of the current study. As in all nonexperimental work, we cannot draw causal conclusions from the results, and remain cognizant that the links detected here, between child care environments and children’s developmental trajectories, could be due to selection or other unmeasured variables. The inclusion of child and family characteristics as well as earlier child functioning lessens the likelihood of such alternative explanations. Still, we were not able to control for characteristics of important contexts, such as schools and homes, in the years between preschool and middle childhood. If these were correlated with child care characteristics, this would threaten the validity of our results. The analytic sample was also relatively small, and representative of a particular population of disadvantaged urban families. Although attention was paid to carefully measuring characteristics of both child care centers and more informal home arrangements, this study was not able to compare children’s experiences in maternal care to those of their peers in child care settings. Continued careful analysis of early child care environments and children’s development using diverse samples and multiple methods that include measures of both behavior problems and social competence will help the field to triangulate evidence of how child care can support low-income children’s healthy development. Further studies can also more carefully assess individual children’s experiences in child care settings (rather than a more global classroom and group-level assessments obtained through measures such as the ECERS, FDCRS and Arnett). Such research might shed light on the differential patterns related to child gender and ethnicity unearthed here.
Finally, studies have raised questions about the validity of the CBCL for high poverty or ethnic minority children and the results of these studies are mixed. Some have validated the CBCL with low-income, African-American, and Latino families (Gross, Young, Fogg, Ridge, Cowell, Richardson, & Sivan 2006; Sivan, Ridge, Gross, Richardson, & Cowell, 2008), whereas others have uncovered problems with using CBCL norms for these populations (Raadal, Milgrom, Cauce, Mancl, 1994; Sandberg, Meyer-Bahlburg, & Yager, 1991). Thus, it is important for our findings to be replicated using alternative measures of behavior problems. In sum, this paper is part of a new generation of child care research that is taking a more nuanced approached to multiple dimensions of children’s experiences in child care. With a sizable sample, valid, reliable, and longitudinal measures and rigorous statistical methodology, we have increasing confidence that child care quality is an important factor in the developmental trajectories of young children in poverty. The results of the present study add to a growing body of empirical evidence suggesting the need for policy and programmatic efforts to increase low-income families’ access to high quality child care.
Acknowledgments
We gratefully acknowledge the support of the following organizations. University of Pittsburgh’s Central Research Development Fund’s Small Grants Program. Government agencies: National Institute of Child Health and Human Development (R03 HD057294 “Child Care Resources in Low-Income Communities” & RO1 HD36093 “Welfare Reform and the Well-Being of Children”), Office of the Assistant Secretary of Planning and Evaluation, Administration on Developmental Disabilities, Administration for Children and Families, Social Security Administration, and National Institute of Mental Health. Foundations: The Boston Foundation, The Annie E. Casey Foundation, The Edna McConnell Clark Foundation, The Lloyd A. Fry Foundation, The Hogg Foundation for Mental Health, The Robert Wood Johnson Foundation, The Joyce Foundation, The Henry J. Kaiser Family Foundation, The W.K. Kellogg Foundation, The Kronkosky Charitable Foundation, The John D. and Catherine T. MacArthur Foundation, The Charles Stewart Mott Foundation, The David and Lucile Packard Foundation, The Searle Fund for Policy Research, and The Woods Fund of Chicago. A special thank you is also extended to the families who participated in the Three-City Study.
Contributor Information
Elizabeth Votruba-Drzal, Department of Psychology, University of Pittsburgh.
Rebekah Levine Coley, Applied Developmental and Educational Psychology, Lynch School of Education, Boston College.
Carolina Maldonado-Carreño, Department of Psychology, Universidad de Los Andes, Bogotá-Colombia.
Christine Li-Grining, Department of Psychology, Loyola University of Chicago.
P. Lindsay Chase-Lansdale, Human Development and Social Policy Program, Northwestern University.
References
- Achenbach TM. Manual for the Child Behavior Checklist/4–18 and 1991 Profile. Burlington, VT: University of Vermont Department of Psychiatry; 1991. [Google Scholar]
- Achenbach TM. Manual for the Child Behavior Checklist/2–3 and 1992 Profile. Burlington, VT: University of Vermont Department of Psychiatry; 1992. [Google Scholar]
- Achenbach TM, Rescorla LA. Manual for the ASEBA School-age Forms & Profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth & Families; 2001. [Google Scholar]
- Arnett J. Caregivers in day-care centers: Does training matter? Journal of Applied Developmental Psychology. 1989;10:541–552. [Google Scholar]
- Belsky J, Vandell DL, Burchinal M, Clarke-Stewart KA, McCartney K, Owen MT NICHD Early Child Care Research Network. Are there long-term effects of early child care? Child Development. 2007;78:681–701. doi: 10.1111/j.1467-8624.2007.01021.x. [DOI] [PubMed] [Google Scholar]
- Blau D. The effect of child care characteristics on child development. Journal of Human Resources. 1999;34:786–822. [Google Scholar]
- Bronfenbrenner U, Ceci SJ. Nature-nurture reconceptualized in developmental perspective: A bioecological model. Psychological Review. 1994;101:568–586. doi: 10.1037/0033-295x.101.4.568. [DOI] [PubMed] [Google Scholar]
- Bronfenbrenner U, Morris PA. The ecology of developmental processes. In: Lerner R, editor. Handbook of child psychology: Theoretical models of human development. 5. Vol. 1. New York, NY: John Wiley; 1998. pp. 993–1028. [Google Scholar]
- Burchinal MR, Cryer D. Diversity, child care quality, and developmental outcomes. Early Childhood Research Quarterly. 2003;18:401–426. [Google Scholar]
- Burchinal MR, Peisner-Feinberg E, Bryant DM, Clifford R. Children’s social and cognitive development and child-care quality: Testing for differential associations related to poverty, gender, or ethnicity. Applied Developmental Science. 2000;4:149–165. [Google Scholar]
- Cain GG. Regression and selection models to improve nonexperimental comparisons. In: Bernett CA, Lumsdiane AA, editors. Evaluation and experiment. New York, NY: Academic Press; 1975. pp. 297–317. [Google Scholar]
- Campbell FA, Ramey CT, Pungello E, Sparlin J, Miller-Johnson S. Early childhood education: Young adult outcomes from the Abecedarian Project. Applied Developmental Science. 2002;6:42–57. [Google Scholar]
- Chase-Lansdale PL, Moffitt R, Lohman BJ, Cherlin A, Coley RL, Pittman LD, Roff J, Votruba-Drzal E. Mothers’ transitions from welfare to work and the well-beingof preschoolers and adolescents. Science. 2003;299:1548–1552. doi: 10.1126/science.1076921. [DOI] [PubMed] [Google Scholar]
- Côté SM, Boivin M, Nagin DS, Japel C, Xu Q, Zoccolillo M, Tremblay RE. The role of maternal education and non-maternal care services in the prevention of children’s physical aggression. Archives of General Psychiatry. 2007;64(11):1305–1312. doi: 10.1001/archpsyc.64.11.1305. [DOI] [PubMed] [Google Scholar]
- Dearing E, McCartney K, Taylor BA. Does higher quality early child care promote low-income children’s math and reading achievement in middle childhood? Child Development. 2009:1328–1349. doi: 10.1111/j.1467-8624.2009.01336.x. [DOI] [PubMed] [Google Scholar]
- Dettling AC, Parker SW, Lane SK, Sebanc AM, Gunnar MR. Quality of care and temperament determine whether cortisol levels rise over the day for children in full-day child care. Psychoneuroendocrinology. 2000;24:819–836. doi: 10.1016/s0306-4530(00)00028-7. [DOI] [PubMed] [Google Scholar]
- Dowsett CJ, Huston AC, Imes AE, Gennetian L. Structural and process features in three types of child care for children from high and low income families. Early Childhood Research Quarterly. 2008;23:69–93. doi: 10.1016/j.ecresq.2007.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Duncan GJ, Brooks-Gunn J. Consequences of growing up poor. New York: Russell Sage Foundation; 1997. [Google Scholar]
- Fabes RA, Hanish LD, Martin CL. Children at play: The role of peer in understanding the effects of child care. Child Development. 2003;74:1039–1043. doi: 10.1111/1467-8624.00586. [DOI] [PubMed] [Google Scholar]
- Friedman R, Chase-Lansdale P. Chronic adversities. In: Rutter M, Taylor E, editors. Child and Adolescent Psychiatry. 4. Oxford UK: Blackwell Science; 2002. pp. 261–276. [Google Scholar]
- Fuller B, Holloway S, Liang X. Family selection of child-care centers: The influence of household support, ethnicity, and parental practices. Child Development. 1996;67:3320–3337. [Google Scholar]
- Fuller B, Kagan SL, Loeb S, Chang Y. Child care quality: Centers and home settings that serve poor families. Early Childhood Research Quarterly. 2004;19:505–527. [Google Scholar]
- Garcia HV. An integrative model for the study of developmental competencies inminority children. Child Development. 1996;67:1891–1914. [PubMed] [Google Scholar]
- Gross D, Young M, Fogg L, Ridge A, Cowell J, Richardson R, Sivan A. The equivalence of the Child Behavior Checklist/1½-5 across parent race/ethnicity, income level, and language. Psychological Assessment. 2006;18:313–323. doi: 10.1037/1040-3590.18.3.313. [DOI] [PubMed] [Google Scholar]
- Growing Up in Poverty Project. Remember the child: Mothers balance work and child care under welfare reform. Berkeley, CA: Graduate School of Education – PACE; 2000. [Google Scholar]
- Harms T, Clifford RM. The Family Day Care Rating Scale. New York, NY: Teachers College Press; 1989. [Google Scholar]
- Harms T, Clifford RM, Cryer D. Early Childhood Environment Rating Scale-Revised. New York, NY: Teachers College Press; 1998. [Google Scholar]
- Huston AC, Ripke MN, editors. Developmental contexts in middle childhood: Bridges to adolescence and adulthood. New York, NY: Cambridge University Press; 2006. [Google Scholar]
- Johnson DJ, Jaeger E, Randolph SM, Cauce AM, Ward J NICHD ECCRN. Studying the effects of early child care experiences on the development of children of color in the United States: Toward a more inclusive research agenda. Child Development. 2003;74:1227–1244. doi: 10.1111/1467-8624.00604. [DOI] [PubMed] [Google Scholar]
- Kalil A, Chen J. Family citizenship status and food insecurity among low-income children of immigrants. New Directions in Child and Adolescent Development. doi: 10.1002/cd.222. (in press) [DOI] [PubMed] [Google Scholar]
- Kessler R, Greenberg EF. Linear panel analysis: Models of quantitative change. New York: Academic Press; 1981. [Google Scholar]
- Kochanska G, Murray K, Jacques TY, Koenig AL, Vandegeest KA. Inhibitory control in young children and its role in emerging internalization. Child Development. 1996;67:490–507. [PubMed] [Google Scholar]
- Li-Grining CP, Coley RL. Child care experiences in low-income communities: Developmental quality and maternal views. Early Childhood Research Quarterly. 2006;21:125–141. [Google Scholar]
- Loeb S, Bridges M, Bassok D, Fuller B, Rumberger RW. How much is too much? The influence of preschool centers on children’s social and cognitive development. Economics of Education Review. 2007;26:52–66. [Google Scholar]
- Loeb S, Fuller B, Kagan SL, Carrol B. Child care in poor communities: Early learning effects of type, quality, and stability. Child Development. 2004;75:47–65. doi: 10.1111/j.1467-8624.2004.00653.x. [DOI] [PubMed] [Google Scholar]
- Love JM, Harrison L, Sagi-Schwartz A, van IJzendoorn MS, Ross C, Ungerer JA, Raikes H, et al. Child care quality matters: How conclusions may vary with context. Child Development. 2003;74:1021–1033. doi: 10.1111/1467-8624.00584. [DOI] [PubMed] [Google Scholar]
- Maccoby EE. The two sexes: Growing up apart, coming together. Cambridge, MA: Harvard University Press; 1998. [Google Scholar]
- Magnuson KA, Ruhm C, Waldfogel J. Does prekindergarten improve school preparation and performance? Economics of Education Review. 2007;26:33–51. [Google Scholar]
- Magnuson KA, Votruba-Drzal E. Enduring influences of childhood poverty. In: Danziger S, Cancian M, editors. Changing Poverty. New York, NY: Russell Sage; 2009. pp. 153–179. [Google Scholar]
- Magnuson KA, Waldfogel J. Early childhood care and education: effects on ethnic and racial gaps in school readiness. The Future of Children. 2005;15:169–196. doi: 10.1353/foc.2005.0005. [DOI] [PubMed] [Google Scholar]
- Masten A, Best K, Garmezy N. Resilience and development: Contributions from the study of children who overcome adversity. Development and Psychopathology. 1990;2:425–444. [Google Scholar]
- McCartney K, Dearing E, Taylor BA, Bub KL. Quality child care supports the achievement of low-income children: Direct and indirect pathways through caregiving and the home environment. Journal of Applied Developmental Psychology. 2007;28:411–426. doi: 10.1016/j.appdev.2007.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mulligan GM, Brimhall D, West J. US Department of Education, National Center for Education Statistics. Washington, DC: U.S. Government Printing Office; 2005. Childcare and early education arrangements of infants, toddlers, and preschoolers: 2001 (NCES 2006-039) [Google Scholar]
- National Research Council and Institute of Medicine. From neurons to neighborhoods: The science of early childhood development. Washington, D.C.: National Academy Press; 2000. [PubMed] [Google Scholar]
- NICHD Early Child Care Research Network. Early child care and self-control, compliance, and problem behavior at twenty-four and thirty-six months. Child Development. 1998;69:1145–1170. [PubMed] [Google Scholar]
- NICHD Early Child Care Research Network. Child care and mother-child interaction in the first 3 years of life. Developmental Psychology. 1999;35:1399–1413. [PubMed] [Google Scholar]
- NICHD Early Child Care Research Network. Child care and children’s peer interaction at 24 and 36 months: The NICHD study of early child care. Child Development. 2001;72:1478–1500. doi: 10.1111/1467-8624.00361. [DOI] [PubMed] [Google Scholar]
- NICHD Early Child Care Research Network. Does amount of time spent in child care predict socioemotional adjustment during the transition to kindergarten? Child Development. 2003;74:976–1005. doi: 10.1111/1467-8624.00582. [DOI] [PubMed] [Google Scholar]
- NICHD Early Child Care Research Network. Early child care and children’s development in the primary grades: Results from the NICHD Study of Early Child Care. American Educational Research Journal. 2005;43:537–570. [Google Scholar]
- NICHD Early Child Care Research Network. Duncan GJ. Modeling the impacts of child care quality on children’s preschool cognitive development. Child Development. 2003;74:144–1475. doi: 10.1111/1467-8624.00617. [DOI] [PubMed] [Google Scholar]
- Owen MT, Klausli JF, Mata-Otero A, Caughy MO. Relationship-focused child care practices: Quality of care and child outcomes for children in poverty. Early Education and Development. 2008;19:302–329. [Google Scholar]
- Peisner-Feinberg E, Burchinal M, Clifford R, Culkin M, Howes C, Kagan S, Yazejian N. The relation of preschool child-care quality to children’s cognitive and social developmental trajectories through second grade. Child Development. 2001;72:1534–1553. doi: 10.1111/1467-8624.00364. [DOI] [PubMed] [Google Scholar]
- Raver C. Emotions matter: Making the case for the role of young children’s emotional development for early school readiness. Social Policy Report of the Society for Research in Child Development. 2002;16:1–20. [Google Scholar]
- Raadal M, Milgrom P, Cauce AM, Mancl L. Behavior Problems in 5- to 11-Year-Old Children from Low-Income Families. Journal of the American Academy of Child & Adolescent Psychiatry. 1994;33:1017–1025. doi: 10.1097/00004583-199409000-00013. [DOI] [PubMed] [Google Scholar]
- Radey M, Brewster KL. The influence of race/ethnicity on disadvantaged mothers’ child care arrangements. Early Childhood Research Quarterly. 2007;22:379–393. [Google Scholar]
- Rolf J, Masten A, Cicchetti D, Nuechterlein K, Weintraub S, editors. Risk and protective factors in the developmentof psychopathology. New York: Cambridge; 1990. [Google Scholar]
- Royston P. Multiple imputation of missing values. Stata Journal. 2004;4:227–241. [Google Scholar]
- Royston P. Multiple imputation of missing values: Update of ice. Stata Journal. 2005;5:527–536. [Google Scholar]
- Rubin DB. Multiple imputation for nonresponse in surveys. New York: John Wiley & Sons, Inc; 1987. [Google Scholar]
- Sameroff A. Developmental systems and family functioning. In: Parke RD, Kellam SG, editors. Exploring family relationships with other social contexts. Hillsdale, N.J.: Lawrence Erlbaum; 1994. pp. 199–214. [Google Scholar]
- Sandberg DE, Meyer-Bahlburg HFL, Yager TJ. The Child Behavior Checklist nonclinical standardization samples: Should they be utilized as norms? Journal of the American Academy of Child and Adolescent Psychiatry. 1991;30:124–134. doi: 10.1097/00004583-199101000-00019. [DOI] [PubMed] [Google Scholar]
- Schweinhart LJ, Montie J, Xiang Z, Barnett WS, Belfield CR, Nores M. Monographs of the High/Scope Educational Research Foundation. Vol. 14. Ypsilanti, MI: High/Scope Press; 2005. Lifetime effects: The High/Scope Perry Preschool study through age 40. [Google Scholar]
- Singer JD, Fuller B, Keiley MK, Wolf A. Early child-care selection: Variation by geographic location, maternal characteristics, and family structure. Developmental Psychology. 1998;34:1129–1144. doi: 10.1037//0012-1649.34.5.1129. [DOI] [PubMed] [Google Scholar]
- Sivan A, Ridge A, Gross D, Richardson R, Cowell J. Analysis of two measures of child behavior problems by African American, Latino, and non-Latino Caucasian parents of young children: A focus group study. Journal of Pediatric Nursing. 2008;23:20–27. doi: 10.1016/j.pedn.2007.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Votruba-Drzal E. Economic disparities in middle childhood development: Does income matter? Developmental Psychology. 2006;42:1154–1167. doi: 10.1037/0012-1649.42.6.1154. [DOI] [PubMed] [Google Scholar]
- Votruba-Drzal E, Coley RL, Chase-Lansdale PL. Child care and low-income children’s development: Direct and moderated effects. Child Development. 2004;75:296–312. doi: 10.1111/j.1467-8624.2004.00670.x. [DOI] [PubMed] [Google Scholar]
- Zaslow MJ, Hayes CD. Sex differences in children’s responses to psychosocial stress: Toward a cross-context analysis. In: Lamb M, Rogoff B, editors. Advances in Developmental Psychology. Vol. 4. Hillsdale, NJ: Erlbaum; 1986. [Google Scholar]