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Coffman, Donna L.; MacCallum, Robert C. – Multivariate Behavioral Research, 2005

The biasing effects of measurement error in path analysis models can be overcome by the use of latent variable models. In cases where path analysis is used in practice, it is often possible to use parcels as indicators of a latent variable. The purpose of the current study was to compare latent variable models in which parcels were used as…

Descriptors: Measurement, Error of Measurement, Path Analysis, Structural Equation Models

Peer reviewed

Cliff, Norman – Multivariate Behavioral Research, 1983

The dangers of overlooking time-honored cautions in the making causal interpretations of data analyses from correlational studies when using highly sophisticated computer programs and their associated techniques are discussed. (JKS)

Descriptors: Computer Programs, Goodness of Fit, Mathematical Models, Multivariate Analysis

Peer reviewed

Cudeck, Robert; Browne, Michael W. – Multivariate Behavioral Research, 1983

Methods for comparing the suitability of alternative models for covariance matrices are examined. A cross-validation procedure is suggested and its properties examined. A series of examples using longitudinal data are examined. (Author/JKS)

Descriptors: Correlation, Data Analysis, Multiple Regression Analysis, Multivariate Analysis

Peer reviewed

Hodapp, Volker; Wermuth, Nanny – Multivariate Behavioral Research, 1983

Decomposable models, which allow for the interdependence of structure among observable variables, are described. Each model is fully characterized by a set of conditional interdependence restrictions and can be visualized with an undirected as well as a special type of directed graph. (Author/JKS)

Descriptors: Correlation, Data Analysis, Estimation (Mathematics), Mathematical Models

Peer reviewed

Stelzl, Ingeborg – Multivariate Behavioral Research, 1991

Criteria for factor identification in factor analysis according to J. Algina (1980) are summarized, and a procedure is presented to determine rotationally underidentified factors by adding restrictors and to carry out the rotation for old and new restrictions and in latent path analysis. Two illustrations are presented. (SLD)

Descriptors: Equations (Mathematics), Hypothesis Testing, Mathematical Models, Path Analysis

Peer reviewed

McDonald, Roderick P. – Multivariate Behavioral Research, 1996

Six methods for fitting path models with weighted composites of variables replacing latent variables (of which five are easily implemented with conventional computer software) are introduced and related to "soft" modeling by Partial Least Squares. Criteria for comparing their performance are devised, and some evaluative remarks are…

Descriptors: Comparative Analysis, Computer Software, Criteria, Evaluation Methods

Peer reviewed

McDonald, Roderick P. – Multivariate Behavioral Research, 1997

Structural equation modelling is becoming increasingly popular in education. This article examines and compares a number of alternative assumptions governing nondirected paths in structural equation models without latent variables vis-a-vis a data set on lung ventilation. Some problems with the conventional procedures in path analysis are pointed…

Descriptors: Case Studies, Path Analysis, Structural Equation Models

Peer reviewed

Kaplan, David – Multivariate Behavioral Research, 1989

The sampling variability and zeta-values of parameter estimates for misspecified structural equation models were examined. A Monte Carlo study was used. Results are discussed in terms of asymptotic theory and the implications for the practice of structural equation models. (SLD)

Descriptors: Error of Measurement, Estimation (Mathematics), Mathematical Models, Monte Carlo Methods

Peer reviewed

LaBuda, Michele C.; And Others – Multivariate Behavioral Research, 1985

Reading ability, symbol-processing speed, and spatial reasoning ability were examined in families with reading disabled children and in control families. For both types of families, comparable moderate familial influences were found, which also accounted for phenotypic correlations between traits. Multivariate path analysis and other statistical…

Descriptors: Analysis of Covariance, Cognitive Tests, Elementary Education, Family Characteristics

Peer reviewed

Stelzl, Ingeborg – Multivariate Behavioral Research, 1986

Since computer programs have been available for estimating and testing linear causal models, these models have been used increasingly in the behavioral sciences. This paper discusses the problem that very different causal structures may fit the same set of data equally well. (Author/LMO)

Descriptors: Computer Software, Correlation, Goodness of Fit, Mathematical Models

Peer reviewed

Butler, John K.; Womer, Norman Keith – Multivariate Behavioral Research, 1985

The study tests the appropriateness of multiplicative versus additive expectancy-valency models for grouping motivational force decisions of 82 undergraduate students. Arguments are offered favoring a non-nested regression models analysis over a traditional hierarchical analysis of nested regression models. Discriminant analysis indicated one of…

Descriptors: Cognitive Ability, Decision Making, Higher Education, Mathematical Models

Peer reviewed

Stavig, Gordon R.; Acock, Alan C. – Multivariate Behavioral Research, 1981

Examples are given to show how the semistrandardized (SS) regression coefficient provides information not given by the conventional standardized regression coefficients used in factor, canonical, and path analysis. (Author/RL)

Descriptors: Factor Analysis, Mathematical Formulas, Multivariate Analysis, Path Analysis

Peer reviewed

Bagozzi, Richard P. – Multivariate Behavioral Research, 1981

Canonical correlation analysis is considered to be a general model for bivariate and multivariate statistical methods. Some problems involving assumptions and statistical tests for parameters exist for social science data. A resolution for these problems is presented by treating canonical correlation as a special case of linear structural…

Descriptors: Correlation, Data Analysis, Hypothesis Testing, Mathematical Models

Peer reviewed

Denison, Daniel R. – Multivariate Behavioral Research, 1982

Structural equation modeling is applied in conjunction with constrained monotone distance analysis. These alternative methods are used in an evaluation of a social-psychological model derived from Likert's theory of organizational behavior. (Author/JKS)

Descriptors: Data Analysis, Hypothesis Testing, Mathematical Models, Multidimensional Scaling

Peer reviewed

Weeks, David G. – Multivariate Behavioral Research, 1980

A reanalysis of a structural equation model of the development of intellectual abilities is presented. The original model emphasized four different constructs of intelligence; the reanalysis emphasized a general factor model. (Author/JKS)

Descriptors: Elementary School Students, Factor Analysis, Intellectual Development, Longitudinal Studies