Examines the consequences of regarding Deviation Quotients (DQs) as estimates of Full Scale IQs. Offers a new formula and shows the increase in error to be negligible for short forms with typical validities, which supports linear scaling as an acceptable alternative to linear regression. (LLL)

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…

Presents first of two-part editorial (second part to appear in next journal issue) proposing guidelines for developing useful tables to report multiple regression outcomes. Pays particular attention to situations where a hierarchical multiple regression analysis is guided by theory. Concludes that some conventional way to report multiple…

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…

Explains the rationale, methodology, and advantages of the regression equation approach to quantifying academic discrepancy, an aspect of learning disability. Variations of the expectancy formula and IQ-achievement difference approach produce serious errors of including too many above average children and too few below average. (JAC)

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…

Reports on the results of applying a multivariate regression model of living arrangement choices to census data on the 1970 U.S. population of nonmarried, nonparenting adults. The central finding was that no special role for the elderly in living arrangement choices existed. (Author)

Examines the credibility of inferences based on cross-group comparisons of regression coefficients using Black-White differences in the educational attainment process as an example. Shows that reanalyses of data from previous studies fail to produce consistent results even when major differences in samples, models, and methods are held constant.…

One of the most appropriate quasiexperimental approaches to compensatory education is the regression-discontinuity design. However, it remains underutilized, in part because of the need to clarify the link between the mathematical model and administrative decision-making. This paper explains the derivation of a program efficiency index congruent…

Proposes a broad analytical framework in the study of immigrant naturalization that incorporates an immigrant's individual characteristics with the larger social contexts in the country of origin and the country of destination to explain the likelihood of citizenship acquisition. Results testing of this framework show that such considerations are…