Responds to Austin, Humphreys, and Hulin's (1989) critique of Barrett, Caldwell, and Alexander, suggesting that the burden of proof still rests on the advocates of the concept of dynamic criteria, and that empirical support is lacking for the existence of dynamic criteria as a simplex. Contrary evidence from educational, organizations, and…

A new item-fit index is proposed that is both a descriptive measure of deviance of single items and an index for statistical inference. This index is based on assumptions of the dichotomous and polytomous Rasch models for items with ordered categories. A simulation study is described. (SLD)

This commentary on EC 603 695 argues that significance testing is a necessary but insufficient condition for positivistic research, that judgment-based assessment and single-subject research are not substitutes for significance testing, and that sampling fluctuation should be considered as one of numerous epistemological concerns in any…

The statistical analysis of processing tree models is advanced by showing how the parameters of estimation and hypothesis testing, based on the likelihood functions, can be accomplished by adapting the expectation-maximization (EM) algorithm. The adaptation makes it easy to program a personal computer to accomplish the stages of statistical…

Statistical significance reporting and use in educational and psychological research is reviewed. An assessment of the use of statistical significance in articles published in MECD from 1990-1996 is presented. The elements of statistical significance (including sample size, effect size, and power), interpretation of results, common erroneous…

Addresses the state of the art in use of statistical significance tests and effect size interpretation, explicating the current debate regarding hypothesis testing; reviewing the newly published American Psychological Association Task Force on Statistical Inference report on statistical inference; examining current trends in reporting practices in…

Describes the development of an introductory course that exposes mathematical sciences majors to a full range of issues that most practicing statisticians may face including data acquisition, design of experiments, use of theory, and formal writing. Provides a summary of laboratories and student perspectives. (Author/MM)

The study of statistics can be enhanced by using real-world data and problems obtained from the Internet. Uses data on HIV infections in Asian and Pacific Islander females to teach both descriptive and inferential statistics. (ASK)

Discusses the extent to which the existing literature offers insights into effectively teaching statistical inference. Describes an in-class exercise that helps students understand inferential statistics. Explains that students learn more about concepts such as population distribution, sampling distributions, and standard error of the estimate.…

Inference for causal effects is a critical activity in many branches of science and public policy. The field of statistics is the one field most suited to address such problems, whether from designed experiments or observational studies. Consequently, it is arguably essential that departments of statistics teach courses in causal inference to both…

American educational leaders seek to educate children (regardless of race, class, or economic status) to become productive citizens. In order for our country to compete with other countries where students are well educated and highly motivated, we need to ensure that our educational system is equipped with the technology and tools that would allow…

Purpose: This study examined the association between cognitive functioning and completion of a durable power of attorney for health care. Design and Methods: Participants were from the Second Longitudinal Study on Aging (LSOA II), a nationally representative sample of community-dwelling persons who were at least 70 years of age at the time of…

Bayesian methods for estimating dose response curves in quantal bioassay are studied. A linearized multi-stage model is assumed for the shape of the curves. A Gibbs sampling approach with data augmentation is employed to compute the Bayes estimates. In addition, estimation of the "relative additional risk" and the "risk specific…

This paper describes a procedure for smoothing the proportions of a double-entry expectancy table which might be used in higher education admissions advising or other functions. The product of the smoothing procedure is a nomograph, a medium for displaying expectancies which provides pairs of individual values for two predictor variables rather…

Alphabet Math is an investigation of the order of usage of letters in the alphabet. Children collect individual data then compare and interpret it to make inferences. The inferences are compared to analyses of larger samples. How this is done is described. (MT)