Data Management Practices for Collaborative Research

The success of research in the field of maternal–infant health, or in any scientific field, relies on the adoption of best practices for data and knowledge management. Prior work by our group and others has identified evidence-based solutions to many of the data management challenges that exist, including cost–effective practices for ensuring high-quality data entry and proper construction and maintenance of data standards and ontologies. Quality assurance practices for data entry and processing are necessary to ensure that data are not denigrated during processing, but the use of these practices has not been widely adopted in the fields of psychology and biology. Furthermore, collaborative research is becoming more common. Collaborative research often involves multiple laboratories, different scientific disciplines, numerous data sources, large data sets, and data sets from public and commercial sources. These factors present new challenges for data and knowledge management. Data security and privacy concerns are increased as data may be accessed by investigators affiliated with different institutions. Collaborative groups must address the challenges associated with federating data access between the data-collecting sites and a centralized data management site. The merging of ontologies between different data sets can become formidable, especially in fields with evolving ontologies. The increased use of automated data acquisition can yield more data, but it can also increase the risk of introducing error or systematic biases into data. In addition, the integration of data collected from different assay types often requires the development of new tools to analyze the data. All of these challenges act to increase the costs and time spent on data management for a given project, and they increase the likelihood of decreasing the quality of the data. In this paper, we review these issues and discuss theoretical and practical approaches for addressing these issues

Severity of spatial learning impairment in aging: Development of a learning index for performance in the Morris water maze.

The Morris water maze task was originally designed to assess the rat’s ability to learn to navigate to a specific location in a relatively large spatial environment. This article describes new measures that provide information about the spatial distribution of the rat’s search during both training and probe trial performance. The basic new measure optimizes the use of computer tracking to identify the rat’s position with respect to the target location. This proximity measure was found to be highly sensitive to age-related impairment in an assessment of young and aged male Long-Evans rats. Also described is the development of a learning index that provides a continuous, graded measure of the severity of age-related impairment in the task. An index of this type should be useful in correlational analyses with other neurobiological or behavioral measures for the study of individual differences in functional/biological decline in aging

Cumulative Social Risk, Parenting, and Infant Development in Rural Low-Income Communities

The extent to which the severity of exposure to social risk is related to parenting and cognitive development in the first 15 months of an infant's life was studied in a representative diverse sample of families in two rural poor regions in the United States

Head Start at Ages 3 and 4 Versus Head Start Followed by State Pre-K: Which Is More Effective?

As policy-makers contemplate expanding preschool opportunities for low-income children, one possibility is to fund two, rather than one year of Head Start for children at ages 3 and 4. Another option is to offer one year of Head Start followed by one year of pre-k. We ask which of these options is more effective. We use data from the Oklahoma pre-k study to examine these two ‘pathways’ into kindergarten using regression discontinuity to estimate the effects of each age-4 program, and propensity score weighting to address selection. We find that children attending Head Start at age 3 develop stronger pre-reading skills in a high quality pre-kindergarten at age 4 compared with attending Head Start at age 4. Pre-k and Head Start were not differentially linked to improvements in children’s pre-writing skills or pre-math skills. This suggests that some impacts of early learning programs may be related to the sequencing of learning experiences to more academic programming

Puzzling It Out: The Current State of Scientific Knowledge on Pre-Kindergarten Effects - A Consensus Statement

Scientific research has established that if all children are to achieve their developmental potential, it is important to lay the foundation during the earliest years for lifelong health, learning, and positive behavior. A central question is how well our public pre-kindergarten (pre-K) programs are doing to build this foundation.Forty-two states and the District of Columbia, through 57 pre-K programs, have introduced substantial innovations in their early education systems by developing the infrastructure, program sites, and workforce required to accommodate pre-K education. These programs now serve nearly 30 percent of the nation's 4-year-olds and 5 percent of 3-year-olds

Child Care Experiences Among Dual Language Learners in the United States: Analyses of the Early Childhood Longitudinal Study--Birth Cohort

This article uses nationally representative data from the Early Chlidhood Longitudinal Study--Birth Cohort used to examine child care experiences with repreated cross-sectional analysis at 9, 24, and 52 months for dual language learner and non-dual language learner children

An Evaluation of the Psychometric Properties and Criterion Validity of the Religious Social Support Scale

This study evaluates the psychometric properties and criterion validity of the Religious Social Support (RSS) Scale in a diverse, representative community sample of new mothers (N = 1,156). Results indicated that two factors best represented the RSS. Criterion validity was established by demonstrating that the RSS was associated with relational and health outcomes. However, these associations were reduced to statistical insignificance once a general measure of social support was included as a covariate. There were no indications that race moderated either the psychometric properties of the RSS or the relationships between social support and outcomes. Qualitative analyses indicated that religious social support is a salient construct in the lives of women that we studied and suggested ways to improve future developments of RSS scales

Predictors of parent-teacher communication during infant transition to childcare in Portugal

Although literature reports associations between parent-teacher communication and childcare quality, little is known about how such communications are related to family, child and childcare characteristics. This study examines whether child, family and childcare experience characteristics predict the level of parent-teacher communication, and differences between parents’ and teachers’ reports of communication. Participants were mothers of 90 infants and their teachers in childcare in Portugal. Results show that both parents and teachers report higher levels of communication in higher-quality programmes. Teachers reported more frequent communication than parents. Teachers, but not parents, reported more frequent communication when children spent fewer hours in childcare. Discussion highlights the relevance of monitoring the quality of childcare contexts, especially in early ages, and to increase parent-teacher communication when children spend more time in childcare. The importance of promoting high-quality childcare and accounting for variables at the mesosystemic level of development in teacher training are also discussed.info:eu-repo/semantics/publishedVersio

Preschool center care quality effects on academic achievement: An instrumental variables analysis.

Much of child care research has focused on the effects of the quality of care in early childhood settings on children's school readiness skills. Although researchers increased the statistical rigor of their approaches over the past 15 years, researchers' ability to draw causal inferences has been limited because the studies are based on nonexperimental designs. The purpose of the present study was to demonstrate how an instrumental variables approach can be used to estimate causal impacts of preschool center care quality on children's academic achievement when applied to a study in which preschool curricula were randomly assigned across multiple sites. We used data from the Preschool Curriculum Evaluation Research Initiative (PCER; n = 2,700), in which classrooms or preschools were randomly assigned to that grantee's treatment curriculum or "business as usual" conditions in 18 research sites. Using this method, we demonstrate how developmental researchers can exploit the random-assignment designs of multisite studies to investigate characteristics of programs, such as preschool center care quality, that cannot be randomly assigned and their impacts on children's development. We found that the quality of preschool care received by children has significant, albeit modest, effects on children's academic school readiness, with effect sizes of .03 to .14 standard deviation increases in academic achievement associated with a 1 standard deviation increase in quality. Applications and potential policy implications of this method are discussed

Instruction, teacher–student relations, and math achievement trajectories in elementary school.

Children enter elementary school with widely different skill levels in core subjects. Whether because of differences in aptitude or in preparedness, these initial skill differences often translate into systematic disparities in achievement over time. How can teachers reduce these disparities? Three possibilities are to offer basic skills training, to expose students to higher order instruction, or to provide socioemotional support. Repeated measures analyses of longitudinal data from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Study of Early Child Care and Youth Development revealed that children with low, average, or high math skills prior to elementary school followed different but parallel trajectories of math achievement up through fifth grade. When enrolled in classes with inference-based instruction, however, the initially least skilled children narrowed the achievement gap as long as they did not have conflictual relations with their teachers. They did not make this kind of progress if they were in classes focused exclusively on basic skills instruction or if they were in inference-focused classes but had conflictual relations with teachers