Changing criterion designs (CCD) are single-case experimental designs that entail a step-by-step approximation of the final level desired for a target behavior. Following a recent review on the desirable methodological features of CCDs, the current text focuses on an analytical challenge: the definition of an objective rule for assessing the…

Some IRT models can be equivalently modeled in alternative frameworks such as logistic regression. Logistic regression can also model time-to-event data, which concerns the probability of an event occurring over time. Using the relation between time-to-event models and logistic regression and the relation between logistic regression and IRT, this…

Presents a method for the collection and analysis of collateral data about research subjects (i.e., measurements of events in subjects' lives that may affect outcome measures and/or lead to attrition). A six-step procedure evaluates bias resulting from subject attrition from a study using data from lost and retained subjects. (SLD)

Using data from the National Study of Postsecondary Faculty and the Early Childhood Longitudinal Study--Kindergarten Class of 1998-99, the author provides guidelines for incorporating weights and design effects in single-level analysis using Windows-based SPSS and AM software. Examples of analyses that do and do not employ weights and design…

Effects of sex and birth order on interactions between mothers and their six-month-old infants (matched in social class, infant's birth order, and sex) were studied using different sequential behavioral analyses. Results for each method are discussed. (Author/AEF)

The power of randomization tests was systematically examined through simulation for typical designs that rely on the random assignment of interventions within the observation sequence. A 30-observation AB design, 32-observation AB design, and multiple baseline AB (15 observations on 4 individuals) were studied. Power estimates were generally found…

Quite often in data reduction, it is more meaningful and economical to select a subset of variables instead of reducing the dimensionality of the variable space with principal components analysis. The authors present a neglected method for variable selection called the BI-method (R. P. Bhargava & T. Ishizuka, 1981). It is a direct, simple method…

An evaluation of open education was shown to produce misleading results due to probable regression phenomena. These questionable results are now spread throughout the literature of education, sociology, and psychology. Researchers are advised to review, not merely summarize, prior articles. (Author/PN)

Why methodologists encourage the use of magnitude-of-effect (ME) indices as research interpretation aids is discussed, and different types of ME estimates are reviewed. Correction formulas developed to alternate statistical bias in ME estimates are also discussed, and their effects are illustrated. (SLD)

Presents use of the effect size as a descriptive statistic for single-subject research. Discusses the way in which effect sizes augment interpretation of results, and reviews four types of treatment effects with case studies. An appendix includes a sample computer program for computing effect sizes. (SLD)

A growth curve approach to longitudinal profile analysis is presented by which univariate and multivariate descriptions of achievement and rate of growth are provided, and intraindividual strengths and weaknesses are computed for profiles of achievement and progress. Analyses are reported for simulated data conforming to a straight-line growth…

Several statistical rational and empirical procedures are presented for dealing with the problems of non-response or low return rates in surveys, namely mail surveys. Advantages and shortcomings of these procedures in educational research are discussed. (SLD)