MMO: The national dialog about what's  best for children often gets mired in cultural debates about ideal family forms  and whether young children are more likely to thrive when they have full-time  maternal care. What's the advantage of using a research-based approach to assessing  children's health and developmental needs, as you do in "What Children  Need"? 
                Jane Waldfogel: In thinking about  children and families, people have a tendency to draw on their own personal  experiences and assumptions. But we also need to recognize that the world has  changed since we adults were children, and that not all families are alike. If  we are to make sound decisions about what children need and what we as a  society should be doing to help meet children's needs when parents work, we  need to be clear both about our values and about the research evidence.  
                To start with values, there are  three core values that underpin our thinking about what's best for children. The  first is the importance of respecting choice. Whatever policies we introduce,  these policies should, to the extent possible, support families making their  own choices about how their children are cared for. A second fundamental  principle, and one that sometimes conflicts with choice, is the importance of  promoting quality. We now know that the quality of children's care arrangements  has a lasting impact on their growth and development. But currently, too many  children and youth are in arrangements that are not of good quality. The third  key principle is the importance of supporting employment. The work ethic is a  widely shared American value, and work is a financial necessity for most  parents. Moreover, women's employment is seen by many as key to gender equity  and women's well-being. 
                Articulating these values, however,  is not sufficient to tell us what's best for children.  We need to know what the research shows --  about the effects of parental employment, or about the effects of preschool  child care or after-school care. To take infant child care as an example, is it  good or bad for children to enter non-parental child care at 3 months, as many  children in the U.S.  do? Saying that we value parental choice, quality care, and supporting  employment does not provide the answer to this question. We need to know what  the best evidence from research says about how children are affected by entering  child care at that age. 
                I emphasize the point about best  evidence because not all research is equally informative. Social scientists agree  that where available the strongest evidence comes from controlled experiments, which randomly assign one group, the  treatment group, to receive an intervention, and another group, the control  group, to not receive it. If the samples are large enough and if the groups  have been randomly assigned, then it is possible to measure the effect of an  intervention by comparing the change in a given outcome for the treatment group  to that for the control group. In the absence of a controlled experiment, the  next best option is a "natural  experiment," which mimics a laboratory experiment by randomly exposing  one group to an intervention. For instance, one state or a few states (the  treatment group) might implement a new program for infants, while other states  (the control group) do not. If the two groups of states are otherwise comparable,  then outcomes for the treatment and control groups can be compared, and the  effect of the new program can be gauged.  
                Often, we lack either a laboratory  or natural experiment, in which case we have to rely on observational studies. Such studies take advantage of naturally  occurring variation in experiences across individuals and then attempt to  measure the impact of those experiences holding all else equal. In the infant  care example, we could identify families who used out-of-home child care for  their infants and compare them to families who did not. If we could hold all  else equal, and compare children who were identical except for the difference  in their early child care experience, then we would be able to estimate the  effect of early child care. In the real world, however, it is often impossible  to hold all else equal. There may be many differences between children who did  and did not attend infant child care, and researchers may not be able to  control for all of them. For this reason, we have to be very cautious in  drawing conclusions from observational studies and should place the most weight  on studies that use rigorous methods to test whether the associations founds in  observational data are likely to be causal. When studies use rigorous methods,  and when several studies all point in the same direction, then we can have  greater confidence in them.  |