Yang and Land (2006) and Yang (forthcoming-b) developed a mixed (fixed and random) effects model for the age–period–cohort (APC) analysis of micro data sets in the form of a series of repeated cross-section sample surveys that are increasingly available to demographers. The authors...

Social scientists have recognized the importance of age-period-cohort (APC) models for half a century, but have spent much of this time mired in debates about the feasibility of APC methods. Recently, a new class of APC methods based on modern statistical knowledge has emerged, offering...

Recently, the state of North Carolina has supported a randomized experimental project designed to provide intensive supervision services for undisciplined youths (status offenders or youths referred to the courts for runaway, truant, or ungovernable behaviors) placed under the protective...

This article examines and compares the advantages of employing logistic and hazards regression techniques in assessing both the overall impact of a treatment program and the extent to which the impact varies among different client subgroups. Data gathered from the North Carolina Court...

The authors consider how to construct summary indices (e.g., quality-of-life [QOL] indices) for a social unit that will be endorsed by a majority of its citizens. They assume that many social indicators are available to describe the social unit, but individuals disagree about the relative...

Previous methodological research has shown that hidden heterogeneity in hazard rate regression models—in the form of systematic differences between sample members in the risk or hazard of making a transition due to unobserved variables not accounted for by the measured...

Current sociological theory often leads to underidentified simultaneous-equation models, some of which are "identified" by arbitrary specification. This paper applies the term sensitivity analysis to methods for exploring how numerical parameter estimates depend upon the identifying assumptions...

Rubin (1977) developed a method for estimating, in a subjective sense, the effect of nonignorable nonresponse in sample surveys. Based on Bayesian techniques, this method produces a subjective probability interval for the statistic, such as the mean of a response variable, that would have been...

This article reports empirical explorations of how well the predictive mean matching method for imputing missing data works for an often problematic variable—income—when income is used as an explanatory variable in a substantive regression model. It is found that the performance of...