Formulas for estimating cross-validated hit-rates, the number of correct classifications into an a priori grouping structure, were examined. The following mathematical formulas were compared: McLachlan's formula estimator, two Snappin and Knoke smoothed formula estimators, and the analytic leave-one-out estimator. The R method was included as a…

This guide to the discovery, analysis, production, communication, and use of statistical information through graphic forms produced by a computer is designed to enable researchers to conduct their analyses and report research results more effectively. It is designed both for individuals with little knowledge about the use of statistical graphs or…

This paper addresses several issues in quantitative research that educational researchers should examine with more care. While the purposes of experimentation is to determine causality, the study of causal relations is difficult and problematic. Computational and conceptual errors in statistical analysis seem limited only by the creativity of the…

After the terms "qualitative research" and "quantitative research" are defined, this paper considers why it makes sense to integrate these approaches, at least under some circumstances. This discussion necessitates attention to the issue of whether quantitative and qualitative research are inextricably linked to incompatible…

The literature of bibliometrics suggests that the results of bibliometric studies can be of practical use in libraries by providing a scientific basis for collection management decisions. Reports on the application of these studies are virtually nonexistent and a number of reasons for this are suggested. (EM)

The role of the coauthor relationship in the structure of informal communications networks within disciplines is explored, and the validity of coauthor graphs used to map these relationships is tested for both small and large databases. (CLB)

The review of some recent studies on use of microcomputers in early childhood special education highlights methodological issues including the qualitative quantitative distinction and the interdependence of research design and interpretation. Imbedding qualitative methods into quasi- or true-experimental designs can provide more information than…

Aggregate schooling levels have risen greatly since the 1960's in Malaysia and the Philippines. This paper examines the extent to which indivduals' family background and government educational policies together influence schooling levels. Results suggest that policies have significantly affected attainment and distribution levels in both…

Defines structural equation modeling (SEM) and points out its relation to other more familiar data-analytic techniques, as well as some of the potentials and pitfalls of SEM in the analysis of developmental data. Discussion focuses on causal modeling, path diagrams, ordinary least-squares regression analysis, and powerful methods for model…

An analysis using data drawn from Nancy Bayley's Berkeley Growth Study is performed for didactic purposes to illustrate the use of structural equation modeling on a child development data set. Alternatives to standard latent factor approaches are demonstrated for use in research situations in which the subject-to-variable ratio is less than…

Argues that standard structural equation modeling applied to cross-sectional data almost invariably results in misleading findings concerning relations among variables. Describes the latent longitudinal approach to causal modeling. The approach is one that fits longitudinal models to data, even if only cross-sectional data are available.…

Lists three criteria that can codetermine whether a new methodological technique is embraced by developmental researchers. Criteria include theoretical and methodological zeitgeist, conceptual and functional accessibility, and perspective enhancement. Using these criteria, evaluates the potential impact of structural equation modeling. (Author/RH)

Provides an introduction to loglinear analysis of cross-classification tables, including tables with nominal and ordinal variables. Compares the chi-square test of independence with the loglinear model of independence. Reviews the advantages and overall strategy of loglinear modeling. Each model discussed is applied to data from the developmental…

Nonlinear least squares computer programs are extremely valuable in fitting complicated equations to experimental data. They are easy to use and free students and teachers from the tedium of trying to derive linearized forms to complicated equations. The use of these programs (available for most medium/large scale computers) is discussed. (JN)

Considers the relationship between coordinate estimates in components analysis and multidimensional scaling. Reports three small Monte Carlo studies comparing nonmetric scaling solutions to components analysis. Results are related to other methodological issues surrounding research on the general ability factor, response tendencies in…