A table of critical values is presented for use with Chacko's ordered alternatives test for the analysis of variance. (Author/JKS)

In numerous applications of the analysis of variance, it is necessary to compute the power of F tests having numerically high alpha (significance) levels. This article tabulates the power of F tests for a variety of degrees of freedom. (Author/JKS)

Procedure and program here described are designed to assess the reliability of J judges who are assigning N stimuli to one of K categories. (Authors)

A computer program written in BASIC is described which performs one-way analysis of variance based on the mean, standard deviation, and size of each group. Output lists a full analysis of variance table. (Author)

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)

The computation of F ratios from cell means and standard deviations is shown for a two-way analysis of variance. (JKS)

A general analysis strategy is proposed such that the universe of inference is increased incrementally. The strategy prevents logically incongruent findings that occasionally result when the conventional analysis strategy is employed. (Author)

The equivalence of one-way multivariate analysis of variance and canonical correlation is well known. The usefulness of canonical correlation analysis is performing factorial multivariate analysis of variance is demonstrated. (Author)

Copies of this paper and a source listing which includes input and output data for sample problems can be obtained from the author at Temple University, Philadelphia, Penna. (Author/MB)

A program is described utilizing a microcomputer and tape drive with any contingency or chi-square table from 2x2 to 8x8. It requires only the entering of the number of rows and number of columns, plus one-time entry of cell frequencies. (Author/JKS)

Formulae and graphs are presented allowing computation of the variances of three prototypical distributions over a finite number of categories. The uses of the variances of the maximum variance distribution, the uniform distribution and a unimodal triangular distribution to make inferences about distribution shapes are shown in several examples.…

A distribution-free test for trend in one-way experimental designs is described. Critical values are derived, and a schematic diagram is given so that a computer package can be implemented. (Author/JKS)