Introduces statistical methods for evaluating differences in patterns of time to response between two subject groups to determine better therapy. Uses data from hypothetical clinical trial to illustrate two elementary methods for analyzing survival data. Discusses generalization of methods to incorporate covariates. Concludes with general…

Notes that conventional statistical models are not suited for analysis of nonindependent observations produced by family systems. Demonstrates how structural equation modeling enables the study of family processes in a way that is consistent with a systems perspective. Uses analysis of perceived coerciveness in two-parent, two-child families to…

Used empirical example of longitudinal experimental prevention study with two groups to illustrate use of structural equation modeling, first, to systematically test measurement invariance across groups at each wave of measurement, and second, after establishing measurement invariance, to test structural invariance longitudinally. (Author/NB)

Applied structural equation modeling to evaluation of cross-lagged panel models. Self-reports of physical and mental health at three time points spanning four-year interval were analyzed to illustrate cross-lagged analysis methodology. Data were analyzed from 856 patients with hypertension, diabetes, heart disease, or depression. Cross-lagged…

Reviews concepts of aptitude and aptitude-treatment interaction (ATI) and summarizes lessons learned in ATI research on educational treatments to help ATI research on psychotherapeutic treatments. Research design and data analysis recommendations address aptitude distributions, multivariate aptitude complexes, detective work with scatterplots,…

Defines structural equation modeling as comprehensive, flexible approach to research design and data analysis. Provides conceptual overview of clinical research hypotheses that invite evaluation as structural equation models. Particular attention is devoted to hypotheses that are not adequately evaluated using traditional statistical models.…

Used specific paths in structural equation models to examine reciprocal effects between constructs of polydrug use and relationship quality for 307 young women and 117 young men over 4-year period. Found eight effects for women and six for men from specific measures of drug use that adversely affected aspects of relationship quality. (Author/NB)

Used structural equation modeling with latent variables to examine group differences and test competing models about cause-effect relationships in passive longitudinal designs. Within example based on three-wave longitudinal study of adolescents' alcohol use, assessed generalizability of measurement model and structural model across gender and…

A broad range of strategies in sampling, measurement, design, execution, implementation, and analysis are examined. Specific strategies are suggested that tend to be successful in the real world of psychiatric clinical research. (Author)