A study was designed to examine further the psychometric relationships between the Marlowe-Crown Social Desirability Scale (MC-SDS) and a Repression-Sensitization (R-S) scale in order to affirm or deny the meaningfulness of pairing these two personality measures. The relationships between these measures was considered to be of sufficiently high…

Formulas are presented in this paper for computing scores associated with factors of G, the image covariance matrix, under three conditions. The subject of the paper is restricted to "pure" image analysis. (Author/NE)

A shortcut formula for the computation of "coefficients of invariance" in the comparison of factor structures is presented. A limitation of the coefficient of invariance is pointed out in the case of comparing two first principal components. (NE)

A simple shortcut procedure for analysis of variance is presented using the means, standard deviations, and number of cases in each sample directly. (Author/NE)

The tests discussed provide a relatively wide variety of inference techniques which may be applied to "koppa". Each of the techniques may be used to construct confidence intervals, and one specific equation provides a simultaneous test of zero values for two koppas when applied properly. (NE)

The feasibility of personality measurement through the Semantic Differential and an examination of the degree of relationship between the semantic space and the preference and similarity space derived by independent means are reported. All three phases of the study met with essentially negative results. (Author/NE)

Separate groups of judges rated the degree of autonomy, impulsivity and desirability in a set of 60 items comprising 20 items from each of the three scales. Results indicated that the judges were able, through their ratings, to identify the scales to which the items belonged. The results were discussed in relation to facet analysis, and the…

Expectancy theory predictions of course performance were tested for a sample of 195 undergraduates; significant prediction was attained for the total sample using a log linear expectancy model. (Author)