The production of criminological experiments

This article examines the production of crime and justice field experiments during the 1990s. Data were collected on the characteristics of criminological experiments funded by the National Institute of Justice (NIJ), the principal research agency of the U.S. Department of Justice, during the 10-year period from 1991 through 2000. The analyses find that, whereas the funds available for research and evaluation at the NIJ increased during this period, the number of projects and the amount of funds awarded supporting field experiments declined. The article describes the characteristics of the experiments funded and assesses the extent to which the reduced support can be attributed to the characteristics of NIJ research funding, research topics, researchers, or criminal justice operational agencies.     

Reporting cumulative proportion of subjects with an adverse event based on data from multiple studies

Experience has shown us that when data are pooled from multiple studies to create an integrated summary, an analysis based on naïvely‐pooled data is vulnerable to the mischief of Simpson's Paradox. Using the proportions of patients with a target adverse event (AE) as an example, we demonstrate the Paradox's effect on both the comparison and the estimation of the proportions. While meta analytic approaches have been recommended and increasingly used for comparing safety data between treatments, reporting proportions of subjects experiencing a target AE based on data from multiple studies has received little attention. In this paper, we suggest two possible approaches to report these cumulative proportions. In addition, we urge that regulatory guidelines on reporting such proportions be established so that risks can be communicated in a scientifically defensible and balanced manner. Copyright © 2010 John Wiley & Sons, Ltd.     

Multiplicative-interaction logit models for i×j×2 three-way tables

Multiplicative-interaction (M-I) logit models are proposed for three-way IxJx2 contingency tables where the third variable constitutes a binary response. Models are derived by assigning unknown scores to the categories and forming product interactions from them. Asymptotic results under special sampling constraints are derived for maximum likelihood estimates and the goodness-of-fit statistics. The class of models proposed in this paper are found to be useful when no obvious scores are available. An example is included.     

Pseudo maximum likelihood estimation for the dirichlet-multinomial distribution

Pseudo maximum likelihood estimation (PML) for the Dirich-let-multinomial distribution is proposed and examined in this pa-per. The procedure is compared to that based on moments (MM) for its asymptotic relative efficiency (ARE) relative to the maximum likelihood estimate (ML). It is found that PML, requiring much less computational effort than ML and possessing considerably higher ARE than MM, constitutes a good compromise between ML and MM. PML is also found to have very high ARE when an estimate for the scale parameter in the Dirichlet-multinomial distribution is all that is needed.     

Some simple log-linear models for the analysis of ordinal response data

A family of log-linear models are proposed to describe contingency tables in which one variable can be considered as the response to the remaining. The proposed models take into account the ordering nature of the response categories and have structure similar to that employed in polynomial regression. Stochastic ordering of the response distributions under the proposed models is discussed and the model-reduction techniques are developed. The proposed models are applied to two data sets previously analysed in the literature.     

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.     

On the decomposition of X2 for two-way contingency tables

When samples are taken independently from I populations and the subjects classified into J categories, can the Pearson's chisquare statistic X² testing the homogeneity model on the resulting I×J two-way table be decomposed into components familiar in the analysis of variance? Will the X² testing the homogeneity model on tables derived by collapsing columns in the spirit of orthogonal comparisons in factorial experiments be asymptotically independent? The answers to both questions are generally negative. This paper gives a theoretical justification.     

Assessment of a State TANF Funded IDA Initiative: A Case Study

Individual development accounts (IDAs), wealth-building programs for the working poor, have existed since the late 1980s. Current research suggests that IDA programs benefit families while contributing to local and state economies. This program evaluation assessed the impact of one state Temporary Assistance for Needy Families (TANF)-funded IDA initiative. Quantitative and qualitative data were collected from four agencies chosen using cluster sampling across the state. Agency programmatic and participant data from the last year of operation (N?=?160) were examined. Agencies also provided contact information for three participants who had graduated and three who exited the program prematurely in the past year of operation. In person, interviews were held with agency directors (n?=?6) and IDA participants (n?=?11) were interviewed by telephone. Results indicate that 69% (n?=?111) of IDA enrollees successfully completed the program. IDA participants who exited the program prior to completion also expressed benefits associated with the time in which they were involved. Programmatic and individual benefits and challenges reported guide recommendations for improving IDA marketability, participant outcomes, and organizational performance rates. A critical implication of the findings is the need to expand the use and design of IDA programs legislatively to better serve historically oppressed and working poor families more effectively.