Working With Urban,African American Fathers: The Importance of Service Provision,Joining, Accountability,the Father–Child Relationship,and Couples Work

Urban, African American fathers have been a difficult population for social workers and other helping professionals to effectively serve. This article, based on interviews with front-line African American service professionals at a father-focused program, who also participated in writing this article, provides information about and suggestions for working with young fathers. Providing father-friendly service, joining with fathers, holding them accountable for their behavior, and addressing their relationship with their child and the mother of their child through couples work are suggested, along with other interventions.     

ESTIMATION, PREDICTION AND INFERENCE FOR THE LASSO RANDOM EFFECTS MODEL

The least absolute shrinkage and selection operator (LASSO) can be formulated as a random effects model with an associated variance parameter that can be estimated with other components of variance. In this paper, estimation of the variance parameters is performed by means of an approximation to the marginal likelihood of the observed outcomes. The approximation is based on an alternative but equivalent formulation of the LASSO random effects model. Predictions can be made using point summaries of the predictive distribution of the random effects given the data with the parameters set to their estimated values. The standard LASSO method uses the mode of this distribution as the predictor. It is not the only choice, and a number of other possibilities are defined and empirically assessed in this article. The predictive mode is competitive with the predictive mean (best predictor), but no single predictor performs best across in all situations. Inference for the LASSO random effects is performed using predictive probability statements, which are more appropriate under the random effects formulation than tests of hypothesis.