Limitations of dummy coding and nonsense coding as methods of coding categorical variables for use as predictors in multiple regression analysis are discussed. The combination of these approaches often yields estimates and tests of significance that are not intended by researchers for inclusion in their models. (SLD)

Researchers sometimes use stepwise methods to eliminate variables from analyses when the variables do not appreciably improve the ability to explain or predict inferences about the importance of various predictor variables. It is argued that stepwise methods are usually not appropriate for these purposes for three reasons. First, some researchers…

Reviews issues of reliability (especially test-retest reliability) in newborn assessment, discusses predictive models based on newborn assessment, and presents information on modifications of the Brazelton Neonatal Behavioral Assessment Scale which may help in pursuing fruitful questions involving prediction of development. (Author/BH)

Analysis of hypothetical data with dependent responses demonstrates how information loss caused by the overt response scale has an unknown influence on effect sizes in moderated regression analysis. The number of scale steps measuring the dependent variable results in a form of systematic error that alters interaction effect sizes. (SLD)

Two analytic models, each with different implications for data analysis, have been used in behavioral science research for assessing attitudinal congruency. The term relative congruence applies to the family of agreement indices which, although functions of the absolute index, are formulated relative to chance expectations. The term absolute…

Argues that G. A. Cziko's conclusions about the inadequacy of mainstream educational research result from misunderstandings of statistical method, philosophy of science, and other topics. Perceptual control theory, which he espouses, may contribute for educational research but its potential does not result from shortcomings of mainstream…