Illustrates the basic concepts of the loglinear approach to research analysis. Explains what type of research questions are answerable and what type of data will lend itself to a loglinear analysis approach. Three educational research examples illustrate this concept. (TLJ)

We present a theory of decision by sampling (DbS) in which, in contrast with traditional models, there are no underlying psychoeconomic scales. Instead, we assume that an attribute's subjective value is constructed from a series of binary, ordinal comparisons to a sample of attribute values drawn from memory and is its rank within the sample. We…

This paper presents the finding of an investigation for determining course achievement utilizing the statistical technique of path analysis. (Author)

The reconstructive approach deals with problem solving in the social studies and particularly with the formulation of policy questions which would be examined with respect to their desireability and feasibility. In this article the author rebuts criticism of his handbook outlining the reconstructivist model for inquiry. (JH)

An item sampling model for achievement testing with items scored in an arbitrary number of categories is investigated. (Author)

Notes that family researchers can examine extent of self-selection bias in samples by using range of "plausibly correlated characteristics" such as marriage and divorce public records. Provides extensive case example of analyses and discusses compensation techniques of weighting and hazard rate models. (Author/NB)

Alternative strategies for two-sample cross-validation of covariance structure models are described and investigated. Results of an empirical sampling study show that for tighter strategies simpler models are preferred in smaller samples, but when cross-validation is employed, a more complex model is supported even for small samples. (SLD)

Coefficient "H" is used as an index of scalability in nonparametric item response theory (NIRT). It indicates the degree to which a set of items rank orders examinees. Theoretical sampling distributions, however, have only been derived asymptotically and only under restrictive conditions. Bootstrap methods offer an alternative possibility to…

This article reviews evidence and theories concerning the nature of stimulus representations in Pavlovian conditioning. It focuses on the elemental approach developed in stimulus sampling theory (R. C. Atkinson & W. K. Estes, 1963; R. R. Bush & F. Mosteller, 1951b) and extended by I. P. L. McLaren and N. J. Mackintosh (2000, 2002) and contrasts…

Objective: Family practitioners are significant providers of mental health care and routinely report difficulty acquiring timely support in this area. The Collaborative Mental Health Care Network assembled groups of family practitioners and provided them with mental health practitioner mentors. This article addresses communication in the Network,…

The power of the t, expected normal scores, Mann-Whitney U, Tukey, a modified Mann-Whitney U, and an adaptive procedure were investigated when sampling from population models empirically developed from test score distributions. The models used were selected members of the beta family. This investigation was unique in that not only did the means of…

A previous article, EA 500 335, is criticized for claiming the applicability of the CRAM model without research documentation. (MF)

Describes the use of critical multiplism to evaluate the advantages and disadvantages of random sampling and deliberate sampling for heterogeneity. Suggests a model for using deliberate sampling for heterogeneity when the population parameters are unknown. Applies this model to a study of the psychosocial rehabilitation workforce. (SLD)

As strongly suggested by recent work, patterns of gender difference can change because of changes in the selectivity of the sample itself. This is a statistical influence connected with the distributions of female and male scores, rather than a substantive influence related to demographic characteristics of the sample such as age or ethnicity. It…

The modeling of longitudinal and multilevel data using a latent variable framework is reviewed. Particular emphasis is placed on growth modeling. Examples are discussed where repeated observations are made on students sampled within classrooms and schools. The concept of a latent variable is a convenient way to represent statistical variation not…