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…

The authors compared the effects of using the true Multilevel Latent Growth Curve Model (MLGCM) with single-level regular and design-based Latent Growth Curve Models (LGCM) with or without the higher-level predictor on various criterion variables for multilevel longitudinal data. They found that random effect estimates were biased when the…

The authors argue that a parameterization in terms of cell means is a useful conceptual device for resolving problems inherent in the nonorthogonal analysis of variance. They demonstrate their argument by considering two widely-used methods for testing main effects. (Author/BW)

This study was completed to determine whether efficiency in concept attainment can be increased as a function of the interaction of the use of good negative instances and increased attention defined in terms of risk conditions. (Author)

This poem, with stanzas in limerick form, refers humorously to the many threats to validity posed by problems in research design, including problems of sample selection, data collection, and data analysis. (SLD)

The purpose of this study is to determine the relationship between the motivation level of the student and his respective class size. Furthermore, if a relationship does exist, is this relationship reflected in the student's evaluation of the course's effectiveness. (Author)

This paper describes a study that attempts to measure the influence of a commercially available game, Marketplace, on student achievement is economic understanding and student attitudes toward the instructional process and selected economic concepts. (Author)

Given the increased data-based capabilities of educational institutions, educational researchers should have more opportunities to use sequential designs. This paper illustrates how to analyze educational data from a cohort-sequential design. University data pertaining to grade inflation were analyzed using a variant of multiple regression.…

Within-class regression is a method, developed in this paper, of comparing a large number of nonequivalent groups. This study indicated that within-class regression was a less biased method of data analysis and will yield more accurate estimates of treatment effects than analysis of covariance. (PN)