Describes the Simple Averaging Model (SAM) which was developed to demonstrate impression-formation computer modeling with less complex and less expensive procedures than are required by most established programs. (RC)

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)

This paper explains how a major statistical package (BMDP) can be used to produce partial, semipartial, or bipartial set correlation in terms of a procedure outlined by Karpman (1980). (BW)

A copy of the program is available from the second author at the Department of Psychology, LSUNO-Lakefront, New Orleans, Louisiana 70122. (Authors/CB)

Linear models are available for describing dominance and composition judgements. These models include parameters for the scale values of the stimuli, response order bias, and interaction between stimuli, all of which may be evaluated with analysis of variance procedures. (Author)

In a LISREL-IV analysis, a method of specifying a priori the variances of the latent variables for interpretability is demonstrated. The potential confusion of the metric of the latent variables is discussed, since many of the parameter estimates are a function of the metric. (Author/CM)

Reprint requests should be directed to the author, Department of Psychology, LSUNO-Lakefront, New Orleans, Louisiana 70122. An ALDOUS user's manual is available. (Author/CB)

A listing of the program, together with an example of its use, can be obtained from the author. (Author)

This method of generating multivariate data differs from previous techniques in that it uses Crout factorization to develop the desired variance-covariance matrix. (Author/CK)

This paper elaborates on the work of Cardinet, and others, by clarifying some points regarding calculations, specifically with reference to existing computer programs, and by presenting illustrative examples of the calculation and interpretation of several generalizability coefficients from a complex six-facet (factor) design. (Author/RL)