Explains that an initial criterion to determine severe discrepancies and relative strengths and weaknesses is significant difference between regressed standard scores. Presents tables as convenient method to determine magnitude of discrepancy required for significance at common reliability and intercorrelation values. Shows prevalences of…

Asserts that, despite its growing popularity, there still exists confusion about the nature and proper use of logistic regression in family studies. Presents nontechnical discussion of logistic regression, with illustrations and comparisons to better-known procedures. Concludes that logistic regression can be powerful statistical procedure when…

Develops random-effects probit model for case in which outcome of interest is series of correlated binary responses, obtained as product of longitudinal response process where individual is repeatedly classified on binary outcome variable or in multilevel or clustered problems in which individuals within groups are considered to share…

Examines methodological problems associated with analysis of event data by comparing five alternative statistical specifications: multiple regression, discriminant analysis, logistic regression, tobit regression, and event history analysis. Uses each procedure to estimate risk factors for out-of-home placement among children in families that…