Demonstrated that several quantifiable characteristics of articles in the marriage and family area are substantially related to subsequent impact in the field, based on bibliometric citation analysis. Works published by the more eminent, highly cited scholars are more likely to be cited. Implications of these results are discussed. (Author)

The Home Observation for Measurement of the Environment (HOME) underwent a generalizability study examining the consistency and stability of scores. Canonical correlation and principal components factor analysis indicated that the organization of environment changes over the first two years of life, and the amount--not type--of stimulation is…

A data analysis model called CANDELINC performs a broad range of multidimensional data analyses. The model allows for the incorporation of general linear constraints. Several examples are presented. (JKS)

For men life satisfaction was related to age stage in a monotonic increasing fashion. Life satisfaction scores remained relatively constant across the age stages for women. Family life and standard of living were found to be significant determinants of life satisfaction, for both sexes at each stage of adulthood. (Author)

Discusses the role of computer programs which have shaped the development of methodology in psychology. Developments in general statistical inference, data analysis, multivariate methods, measurements, and mathematical models of behavior are described. (KC)

Cross validates and discusses the Good et al. confirmatory factor analysis of the Gender Role Conflict Scale (GRCS). Data taken from college students (N=684) support the internal consistency reliability of the GRCS and offer tentative proof for its factorial validity. Results highlight the importance of reporting multiple fit indices. (RJM)

Using data from the National Longitudinal Survey of Youth on more than 6,500 adolescents, traditional multivariate models replicated previous findings that adolescent's work intensity was positively related to delinquency, substance use, and problem behaviors. However, these relationships disappeared when observed and unobserved heterogeneity were…

This book presents a comprehensive overview of univariate and multivariate generalizability theory, a psychometric model that provides a powerful approach to the analysis of errors of measurement through the use of random-effects and mixed-model analysis of variance. (SLD)

A class of two-stage models is developed to accommodate three common characteristics of behavioral data: (1) its multivariate nature; (2) the typical small sample size; and (3) the possibility of missing observations. The model, as illustrated, permits estimation of the full spectrum of plausible measurement error structures. (SLD)

Reports on a large scale study carried out in four college settings in various countries that investigated the potential of the Web as a medium of language instruction, both to complement face-to-face teaching and as a stand-alone course. Results showed student perceptions were mainly positive, especially as an add-on to regular teaching.…

Investigates how students interpret and analyze multivariate data organized in tables and the nature of external visual displays that they tend to create and use for this purpose. Reports that: (1) students based their conclusions on only part of the data; (2) students did not use either efficient or sufficient visual representations; and (3)…

Provides a nontechnical explanation of the family of multivariate statistical techniques known as multidimensional scaling (MDS). Explains the purpose of MDS, and the advantages of using these techniques in the study of musical perception. Discusses two approaches to the interpretation of MDS solutions. Lists examples of musical studies using MDS.…

A response to comments on internal correlation for statistical analysis, as proposed by the present authors (1989), is provided. Focus is on issues raised by W. W. Rozeboom (1989). Comments by J. H. Schuenemeyer (1989) and R. Bargmann (1989) are briefly considered. (TJH)

Both doubly multivariate and multivariate mixed models of analyzing repeated measures on multivariate responses are reviewed. Given multivariate normality, a condition called multivariate sphericity of the covariance matrix is both necessary and sufficient for the validity of the multivariate mixed model analysis. (SLD)

Large sample multivariate methods for estimating and comparing effect sizes across independent samples within a single study are presented. Procedures for pooling treatment effects are provided to allow determination of overall study effect sizes for treatments with similar effects prior to implementation of meta-analyses. (TJH)