Prediction and Prevention of Child Abuse and Neglect

A high-risk population was successfully identified by the use of perinatal screening procedures. These children encountered significantly different parenting practices than the low-risk "control" group. There were also significant differences between "High-Risk" and "Low-Risk" families on issues concerning social adjustment and mother/infant attachment. Five children in a "High-Risk Nonintervene" group required hospitalization for serious injuries thought to be secondary to abnormal parenting practices. There were no such hospitalizations in either a High Risk Intervene group or a Low Risk group. Labordelivery observations, and postpartum interviews and observations provided the most accurate predictive information; prenatal interviews and questionnaires did not add significantly. Perinatal assessment and simple intervention with families at high risk for abnormal parenting practices significantly improves the infants' chances for escaping serious hospitalized physical injury.     

Explaining Official Delinquency: a Spatial Study of Class,Conflict and Control*

The correlation between social class and official delinquency is one of the more stable findings of sociological research. Consensus, conflict and organizational explanations of this correlation are examined with a coordinated set of survey, interview, and official data gathered in the central area of a middle-sized Canadian city. These data make possible the consideration of behavior and official rate-producing processes in a model that lends support to a combination of conflict and organizational perspectives. Consideration is given to the need for additional research using a similar frame-work in other types of community settings.     

Powers of Discrete Goodness-of-Fit Test Statistics for a Uniform Null Against a Selection of Alternative Distributions

The comparative powers of six discrete goodness-of-fit test statistics for a uniform null distribution against a variety of fully specified alternative distributions are discussed. The results suggest that the test statistics based on the empirical distribution function for ordinal data (Kolmogorov–Smirnov, Cramér–von Mises, and Anderson–Darling) are generally more powerful for trend alternative distributions. The test statistics for nominal (Pearson's chi-square and the nominal Kolmogorov–Smirnov) and circular data (Watson's test statistic) are shown to be generally more powerful for the investigated triangular (∨), flat (or platykurtic type), sharp (or leptokurtic type), and bimodal alternative distributions.     

On dynamic stochastic approximation

The behaviour of the dynamic stochastic approximation algorithm suggested by DUPA[Cbreve] [4, 5] is examined under various conditions. Essentially, convergence in q.m. is proved and the rate of convergence is obtained for three classes of regression functions. Necessary and sufficient conditions are established for the convergence in q.m. of the algorithm in terms of the algorithm parameters for the stationary (nondynamic) case.     

What you say,and how you say it: Preschoolers' growth in vocabulary and communication skills differentially predict kindergarten academic achievement and self‐regulation

The idea that language skills support school readiness, predicting later self‐regulation and academic success, is widely accepted. Although vocabulary is often emphasized in the developmental literature, the ability to use language appropriately in the classroom, or social communication skills, may also be critical. This article examined longitudinal contributions of children's vocabulary and social communication skills, from preschool to kindergarten, to kindergarten academic achievement (reading and math) and self‐regulation (executive functions and learning behaviors). Participants were 164 children (14% Latinx, 30% Black, 56% White; 57% girls) enrolled in Head Start programs. Results revealed that initial levels and growth in vocabulary and communication skills predicted better academic achievement. Social communication skills uniquely predicted self‐regulation, after accounting for vocabulary. We discuss potential mechanisms for these links and recommend that strategies to build social communication skills be incorporated in preschool interventions promoting school readiness.     

Reviewing challenges and the future for qualitative interviewing

ABSTRACT

In this article, we consider challenges for the existence and practice of qualitative research interviews. We review key features of qualitative interviewing, in particular the debate over the radical critique of interviewing and the nature of the data it generates, to set the scene for our arguments about the current standing and future prognosis for the method of generating data and the technologies that enable this. We look at qualitative interviewing in the context of the political project of neoliberalism and the regime of austerity associated with it, and the linked turn to what is known as ‘big data’, a feature of digital technological developments in garnering data. Qualitative researchers using interview methods have been creative in working with and resisting features of neoliberal austerity pragmatically and politically, and we provide some examples. We also consider an epistemological challenge and resistance from outside of the dominant framework – interviewing in indigenous methodologies. We argue that it is the relationship between the interview as a method of data generation for research and the ways of knowing about the world, that is the epistemology that the interview-based research proceeds from, that is crucial in considering the potentials for the method’s practice.