Methods for the path analysis of complex (i.e., not fully recursive) causal models are briefly discussed. A computer program which simplifies analysis of such models and provides an option for automatically deleting marginal paths is described. (Author)

Current computer programs for analyzing linear structural models will apparently handle only two types of constraints: fixed parameter and equal parameters. In this paper, a method for imposing several types of inequality of parameter constraints is described. Several examples are presented. (Author/JKS)

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)

A general method for estimating the unknown coefficients in a set of linear structural equations is described. In its most general form the method allows for both errors in equations (residuals, disturbances) and errors in variables (errors of measurement, observational errors) and yields estimates of the residual variance-covariance matrix and…

Six papers on future developments in computer-assisted learning (CAL) focus on the impact of computers on the future of education, use of path algebras for network analysis, impact of "programing literacy" on courseware, microcomputers as classroom teaching aids, Prestel for preschool education in the home, and courseware development and…