This article explored the way people and connectionist models could apply knowledge of the structure of one domain to another. The process of the Simple Recurrent Network in modelling these data illustrates how abstract knowledge of artificial grammars can be understood in terms of statistical structure. (nine references) (CK)

The parameters of full-information item factor models of varying dimensionality and mixed-measurement models of varying numbers of latent classes were estimated in 1,000 responses to a measure of Positive Interpersonal Engagement. The most appropriate representation of the data and deciding between mixed-measurement and dimensional representations…

Suggests ways to translate ideas in the book, "The Story of Z," into data analysis activities in kindergarten and second-grade classrooms. (MKR)

A set of methods is proposed for the analysis of opportunity to learn (OTL) in relation to achievement in large-scale educational assessments. Methods are illustrated with data from the National Assessment of Educational Progress and the National Education Longitudinal Study. Implications for large-scale educational assessment are discussed. (SLD)

The distinction between two models of reliability is clarified. Reliability may be conceived of and estimated from a true score model or from the perspective of sampling precision. Basic models are developed and illustrated for each approach using data from the author's work on measuring organizational climate. (SLD)

This article describes soft modeling with partial least squares in a nontechnical manner and suggests its greater use in special education research. This approach allows model building and evaluation in situations with high complexity but without well-articulated theories. (DB)

Describes an activity which connects mathematics and science by using data analysis and studies of animal camouflage. Includes a reproducible student worksheet to be used for data collection. (11 references) (MKR)

The methodological and practical problems that are especially common in or unique to assessment research in correctional settings are discussed. The distinctive culture of correctional institutions and the complications caused by governing bodies contribute to the particular problems encountered in collecting and analyzing data. (SLD)

Clinical applications of statistical process control (SPC) in human service organizations are considered. SPC is seen as providing a standard set of criteria that serves as a common interface for data-based decision making, which may bring decision making under the control of established contingencies rather than the immediate contingencies of…

Discusses two tools necessary for the successful practice of human performance technology: gathering data and interpreting data. The focus is on what data to gather, how to gather it, and how to interpret the data. (Author/JKP)

TSCALE, a multidimensional scaling procedure based on the contrast model of A. Tversky for asymmetric three-way, two-mode proximity data, is presented. TSCALE conceptualizes a latent dimensional structure to describe the judgmental stimuli. A Monte Carlo analysis and two consumer psychology applications illustrate the procedure. (SLD)

A formula that is simpler to calculate than the Kappa statistic of J. Cohen is presented for the situation where each subject in an experiment is rated on a nominal scale by two or more judges. Equivalence with Pearson's chi-square statistic in this situation is demonstrated. (SLD)

Identifies and explains some of the crucial elements of team research and data analysis, points out common pitfalls, and makes some helpful suggestions. Sections include general recommendations and communicating in statistical language. (ZWH)

Empirically developed multivariate categorization scheme for classifying clients' presenting problems. Counseling clients (n=611) completed Computerized Assessment System for Psychotherapy Evaluation and Research. Identified nine clusters of clients with different types of presenting problems that were stable across subsamples. (Author/NB)

Describes an activity for computing the volume of water in a blanket of snow, focusing on measuring and controlling variables, and then using critical thinking skills to analyze data. (HTH)