Early detection of severe violence is a significant challenge for many schools. Three studies were conducted on samples of 6th, 8th, and 10th graders (12-16 years old). The first study, based on paired reports of teachers and students (n = 130), showed that a high percentage of both victims and perpetrators of severe violence are not identified by…

This study examined abstract syntactic categorization in infants, using the case of grammatical gender. Ninety-six French-learning 14-, 17-, 20-, and 30-month-olds completed the study. In a preferential looking procedure infants were tested on their generalized knowledge of grammatical gender involving pseudonouns and gender-marking determiners.…

In the present study, quantitative and qualitative data are presented to examine individual and contextual predictors of bullying and victimization and how they vary by age and gender. Two waves of survey data were collected from 2,678 elementary, middle, and high school youth attending 59 schools. In addition, 14 focus groups were conducted with…

Identifies interaction effects as the defining feature of resilience and resilience research. Maintains that interaction effects are responsible for the unique contributions of this field of study to the understanding of human development. Suggests that the methodological and statistical challenges posed by interaction effects do not, by…

Examines and rejects common criticisms of the causality concept; shows causality is a relation implied in the grammar of a language about objects. Discusses objective criteria for concepts of causal relations and explains how the concept of causality may be modified to have causes determine probabilities of outcomes. (Author/RH)

Provides a set of guidelines for evaluating research using structural equation modeling (SEM). Offers insight into how someone familiar with SEM would judge the adequacy of a study using such methods. (Author/RH)

Demonstrates ways in which conclusions about models may be affected by violations of the assumption that the observed variables are normally distributed. Addresses the issue of the robustness of findings obtained under such conditions. (Author/RH)

Two statistical characteristics of the Matching Familiar Figures test which produce methodological problems in reflection-impulsivity research are discussed. (BRT)

Challenges the typical treatment of causal effects in longitudinal data, arguing that models should be conceptualized and tested in ways that directly reflect prior assumptions as to the trait- or state-like nature of the variables. Examples demonstrate that meaningful longitudinal studies of state variables can be conducted without assuming their…

The intent of this paper is to demonstrate that the standard age effect in analysis of variance provides an ineffective means of assessing developmental change when several age levels are involved and a roughly monotonic trend can be expected. (Author)

Introduces structural modeling with nonnormal continuous variables, using the equations language of the micro-mainframe program EQS in the context of a longitudinal study of adolescent development that followed about 700 adolescents across an 8-year span into young adulthood. Two models are developed to assess the influence of drug use on…

Considers problems which arise when researchers do not have the optimally large sample sizes desired in structural equation modeling. Discusses the ways in which small sample size affects assessment of model fit. Provides a new estimator that may be beneficial for use in small-sample situations. (Author/RH)

The conventional analysis of variance applied to designs in which each subject is measured repeatedly requires stringent assumptions regarding the variance-covariance structure of the data. This paper considers alternatives when heterogeneity of covariance exists, including nonparametric tests, randomization and matching procedures, Box and…

Defines structural equation modeling (SEM) and points out its relation to other more familiar data-analytic techniques, as well as some of the potentials and pitfalls of SEM in the analysis of developmental data. Discussion focuses on causal modeling, path diagrams, ordinary least-squares regression analysis, and powerful methods for model…

Lists three criteria that can codetermine whether a new methodological technique is embraced by developmental researchers. Criteria include theoretical and methodological zeitgeist, conceptual and functional accessibility, and perspective enhancement. Using these criteria, evaluates the potential impact of structural equation modeling. (Author/RH)