Despite its importance, replication has remained in the background of social development research. The aim of this special section was to elucidate and elevate the role of replication in peer relations research, examining its challenges and its utility for moving the field forward. To accomplish this aim, five sets of researchers undertook…

To make a scientific contribution, a reanalysis must be firmly rooted in the identification of a clearly superior methodological innovation over the original research. By contrast, a reanalysis rooted in dissatisfaction with previous results will necessarily be biased and can only obscure scientific discoveries. The reanalysis published by…

Our target article (Robinson-Cimpian, Lubienski, Ganley, & Copur-Gencturk, 2014) used nationally representative data to examine the development of gender gaps in math achievement. We found that when boys and girls demonstrate equivalent math test performance and are perceived by their teachers to be equally well behaved and engaged with the…

Developmental science rests on describing, explaining, and optimizing intraindividual changes and, hence, empirically requires longitudinal research. Problems of missing data arise in most longitudinal studies, thus creating challenges for interpreting the substance and structure of intraindividual change. Using a sample of reports of longitudinal…

Interactions between conceptual and procedural knowledge influence the development of mathematical competencies. However, after decades of research, these interrelations are still under debate, and empirical results are inconclusive. The authors point out a source of these problems. Different kinds of knowledge and competencies only show up…

Multiple methods are vital to understanding development as a dynamic, transactional process. This article focuses on the ways in which quantitative and qualitative methodologies can be combined to enrich developmental science and the study of human development, focusing on the practical questions of "when" and "how." Research situations that may…

There are a number of significant challenges researchers encounter when studying development over an extended period of time, including subject attrition, the changing of measurement structures across groups and developmental periods, and the need to invest substantial time and money. Integrative data analysis is an emerging set of methodologies…

Analyzing problem-behavior trajectories can be difficult. The data are generally categorical and often quite skewed, violating distributional assumptions of standard normal-theory statistical models. In this article, the authors present several currently available modeling options, all of which make appropriate distributional assumptions for the…

The present study investigated some properties of the environment that control an infant's response to his mother's departure and, in particular, the readiness with which he follows her. (Authors)

Asserts that journal's three studies examining cultural influences on emotional development reflect Western cultural model, using Western scripts for how data were collected and meaningfulness attributed. Addresses: (1) search for universals versus cultural specificity; (2) effect of unit of analysis; (3) whose perspective is used when proclaiming…

Examines the psychometric properties of two procedures for reducing data from the Brazelton Neonatal Behavioral Assessment Scale: factor and cluster analysis. The sample consisted of 85 male and 77 female newborns. (RH)

The ability to order objects in a series according to some dimension, such as size, is recognized as an important aspect of a child's ability to understand logical concepts. (Author)

Three investigations are reported which indicate that infants between 4 and 17 weeks of age are able to detect some differences in sounds upon which phonemic contrasts are based. (Authors)

On the basis of these findings, both the measurement techniques of previous studies and Piaget's analysis of seriation are challenged. (Author)