Bias, Type I Error Rates, and Statistical Power of a Latent Mediation Model in the Presence of Violations of Invariance.

When testing a statistical mediation model, it is assumed that factorial measurement invariance holds for the mediating construct across levels of the independent variable X. The consequences of failing to address the violations of measurement invariance in mediation models are largely unknown. The purpose of the present study was to systematically examine the impact of mediator noninvariance on the Type I error rates, statistical power, and relative bias in parameter estimates of the mediated effect in the single mediator model. The results of a large simulation study indicated that, in general, the mediated effect was robust to violations of invariance in loadings. In contrast, most conditions with violations of intercept invariance exhibited severely positively biased mediated effects, Type I error rates above acceptable levels, and statistical power larger than in the invariant conditions. The implications of these results are discussed and recommendations are offered.

Transition and protective agency of early childhood learning behaviors as portents of later school attendance and adjustment.

This article reports on the study of differential change trajectories for early childhood learning behaviors as they relate to future classroom adjustment and school attendance. A large sample (N=2152) of Head Start children was followed through prekindergarten, kindergarten, and 1st grade. Classroom learning behaviors were assessed twice each year by teachers who observed gradual declines in Competence Motivation and Attentional Persistence as children transitioned through schooling. Cross-classified multilevel growth models revealed distinct transitional pathways for future adjustment versus maladjustment and sporadic versus chronic absenteeism. Generalized multilevel logistic modeling and receiver operating characteristic curve analyses showed that teachers' earliest assessments were substantially predictive of eventual good classroom adjustment and school attendance, with increasing accuracy for prediction of future sociobehavioral adjustment as time progressed.

Assessing changes in socioemotional adjustment across early school transitions-new national scales for children at risk.

This article reports the development and evidence for validity and application of the Adjustment Scales for Early Transition in Schooling (ASETS). Based on primary analyses of data from the Head Start Impact Study, a nationally representative sample (N=3077) of randomly selected children from low-income households is configured to inform developmental-transitional stability and change in socioemotional adjustment. Longitudinal exploratory and confirmatory factor analysis of the ASETS revealed behavioral dimensions of Aggression, Attention Seeking, Reticence/Withdrawal, Low Energy, and higher-order dimensions of Overactivity and Underactivity. Each dimension was vertically equated through IRT, with Bayesian scoring across 2 years of prekindergarten, kindergarten, and 1st grade. Multilevel modeling provides evidence for concurrent validity, assessment of future risk, and detection of differential growth trajectories across the 4 years of early school transition.

Extending residential care through telephone counseling: initial results from the Betty Ford Center Focused Continuing Care protocol.

There is increasing evidence that a chronic care model may be effective when treating substance use disorders. In 1996, the Betty Ford Center (BFC) began implementing a telephone-based continuing care intervention now called Focused Continuing Care (FCC) to assist and support patients in their transition from residential treatment to longer-term recovery in the "real world". This article reports on patient utilization and outcomes of FCC. FCC staff placed clinically directed telephone calls to patients (N=4094) throughout the first year after discharge. During each call, a short survey was administered to gauge patient recovery and guide the session. Patients completed an average of 5.5 (40%) of 14 scheduled calls, 58% completed 5 or more calls, and 85% were participating in FCC two months post-discharge or later. There was preliminary evidence that greater participation in FCC yielded more positive outcomes and that early post-discharge behaviors predict subsequent outcomes. FCC appears to be a feasible therapeutic option. Efforts to revise FCC to enhance its clinical and administrative value are described.

Predicting DSM-IV dependence diagnoses from Addiction Severity Index composite scores.

This study, using data from the Drug Evaluation Network System and a study conducted through the Center for Studies on Addiction of the University of Pennsylvania/Philadelphia Veterans Administration Medical Center, sought to determine the potential of the Addiction Severity Index (ASI) to serve as a screening instrument for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) substance dependence. A significant positive correlation was found between ASI composite scores (CSs) and DSM-IV diagnoses of dependence in both the alcohol (r > .7) and drug (r > .5) domains (p < .01). Receiver operating characteristic analyses were run to predict DSM-IV alcohol and drug dependence diagnoses from the respective ASI CSs. Results showed good to strong prediction; ASI CSs identified dependent clients with approximately 85% sensitivity and 80% specificity. We recommend strategies for using ASI CSs as a diagnostic screening instrument in both research and treatment delivery environments.

The Addiction Severity Index at 25: origins, contributions and transitions.

The Addiction Severity Index (ASI) is a multi-dimensional interview used to measure the substance use, health, and social problems of those with alcohol and other drug problems, both at admission to treatment and subsequently at follow-up contacts. This article first discusses the conceptual and practical importance of the ASI's multi-dimensional approach to measuring addiction severity, as illustrated by two case presentations. The second section of the paper reviews how this measurement approach has led to some important findings regarding the prediction and measurement of addiction treatment effectiveness. The third section describes the historical and practical considerations that have changed the instrument over time, details the problems with the instrument, and describes our efforts to correct those problems with the ASI-6. Finally, some recent ASI data collected from over 8,400 patients admitted to a nationally representative sample of U.S. addiction treatment programs are presented.