The determinants of sentencing are of much interest in criminal justice and legal research. Understanding the determinants of sentencing decisions is important for ensuring transparent, consistent, and justifiable sentencing practice that adheres to the goals of sentencing, such as the punishment, rehabilitation, deterrence, and incapacitation of…

Studied the analytic problems associated with a design in which one identifiable group is allocated to each treatment condition and members of these groups are measured to assess the intervention. Results from a simulation study underscore the analytic problems associated with these quasi-experimental or group-randomized designs. (SLD)

A recent Delphi study on recreational boating safety priorities of 94 safety experts is used to illustrate the utility of applying the modified scree test to Delphi data. The scree test does not oversimplify decisions and can be applied to fairly complicated data. (SLD)

Four aspects of the relationship between auditing and evaluation in their approaches to program assessment are examined: (1) their different origins; (2) the definitions and purposes of both, and the questions they seek to answer; (3) contrasting viewpoints and emphases of auditors and evaluators; and (4) commonalities of interest and potential…

The authors demonstrate how exponential smoothing can play a role in the identification of the intervention component of an interrupted time-series design model that is analogous to the role that the sample autocorrelation and partial autocorrelation functions serve in the identification of the noise portion of such a model. (Author/BW)

The use of multiple regression for analyzing data from the regression-discontinuity design (RDD) is examined, considering the effects of random measurement error in the pretest, treatment-effect interactions, and curvilinearity in the regression analysis of RDD. Three sets of conditions of increasing generality are reviewed. (SLD)

A method is presented for analyzing data collected in a multiple group time-series design. This consists of testing linear hypotheses about the experimental and control group-means. Both a multivariate and a univariate procedure are described. (Author/GK)

This response to TM 505 708 briefly reviews the five major points of that article, and adds seven points that evaluators should consider when preparing reports. Illustrations are taken from Project Follow Through. (BW)

Strategies are presented for analyzing longitudinal research designs with many waves of data using hierarchical linear modeling. The approach defines well-focused parameters that yield meaningful effect size estimates and significance tests. It is illustrated with data from the Boys Town Follow-Up Study. (SLD)

Design, analysis, and reporting considerations for the application of analysis of covariance (ANCOVA) techniques in educational settings are described. Numerous examples are drawn from the national follow through evaluation, and suggestions for improving reports using ANCOVA-type techniques are presented. (Author/BW)