Inaction to address housing segregation in metropolitan areas has resulted in persistently high levels of residential segregation. As the Supreme Court has recently limited school districts' voluntary integration efforts, this article considers the role of residential segregation in maintaining racially isolated schools, namely what is known about…

Illustrates use of time-series designs for determining efficacy of interventions with fictitious data describing drug-abuse prevention program. Discusses problems and procedures associated with time-series data analysis using Auto Regressive Integrated Moving Averages (ARIMA) models. Example illustrates application of ARIMA analysis for…

Describes problems of assessing change with short time-series data: unreliability of visual inference and fact that current statistical procedures cannot control Type I error because they underestimate positive autocorrelation. Shows how problems can be solved with new interrupted time-series analysis procedure (ITSACORR) that uses more accurate…

Item response theory (IRT) methodology is introduced as a tool for improving assessment instruments used with people who have disabilities. Need for this approach in rehabilitation is emphasized; differences between IRT and classical test theory are clarified. Concepts essential to understanding IRT are defined, necessary data assumptions are…

Presents strategy for analyzing interdyadic differences in sequential data on social interactions. Shows how to statistically describe interactional structure within each dyad governing stream of that dyad's social interactive behavior and how scores describing dyadic structures can be related to covariate information about dyads. (Author/NB)

Locating pairwise differences among treatment groups is a common practice of applied researchers. Articles published in this journal have addressed the issue of statistical inference within the context of an analysis of variance (ANOVA) framework, describing procedures for comparing means, among other issues. In particular, 1 article (Jaccard &…

Shows how discrete-time survival analysis can address questions about onset, cessation, relapse, and recovery. Uses data on onset of suicide ideation and depression and relapse into cocaine use to introduce concepts underpinning method, describe action of discrete-time hazard model, and discuss main effects and interactions that can be included as…

Reviews application of causal modeling in family research. Discusses uses of and critics' views of causal modeling to explain reasons for controversial position of causal modeling in social sciences. Reviews requirements for effectively implementing causal modeling strategy, commenting on some attempts of family researchers to use it. Includes…

Notes that many employers use student's grade point average (GPA) as the criterion for interviewee selection, presenting problems for students who may have gotten low grades early in their college careers but higher grades later. Presents a formula for deriving an "equivalent GPA" for such students by taking into account education, experience, and…

Discusses problems in analyzing change in nonexperimental data. Tests three ordinary least-squares regression models to illustrate similarities/differences. Notes that model based on raw difference change scores applies best to studying change processes; model based on outcome scores applies best to assessing consequences of change; and model…

To guide the unbiased process of visual inference, a four-step model is presented for the assessment of reliability, intervention effect, meaningfulness, and generalizability. A Visual Inference Checklist (VIC) systematizes this assessment process. (Author)

Evaluates three strategies for controlling input-level ability differences in research utilizing ability test performance for evaluating school effectiveness: (1) longitudinal, predetermined ability measures; (2) cross-sectional, endogenous ability measures; and (3) socioeconomic measures as proxies for ability. (Author/GC)

Asserts that path analysis is an optimum data-analytic technique for the research, development, and evaluation of planned interventions to reduce college student attrition. Describes and illustrates technique of path analysis. (Author/NB)

With the development of refined theory and increased measurement sophistication in family research, multidimensional concepts and multiple indicators are appearing in the literature. This paper provides a nonmathematical introduction to canonical correlation analysis and three empirical examples that demonstrate the technique's applicability in…

A set of studies done for the Washington State Superintendent of Public Instruction (WSPI) constituted a case study testing the conjecture that management consulting is potentially cost effective in some areas of educational evaluation. The case study involved first interviewing 22 respondents from four WSPI constituencies (educators, employers,…