Dynamic factor analysis summarizes changes in scores on a battery of manifest variables over repeated measurements in terms of a time series in a substantially smaller number of latent factors. Algebraic formulae for standard errors of parameter estimates are more difficult to obtain than in the usual intersubject factor analysis because of the…

It seems that just when we are about to lay P-technique factor analysis finally to rest as obsolete because of newer, more sophisticated multivariate time-series models using latent variables--dynamic factor models--it rears its head to inform us that an obituary may be premature. We present the results of some simulations demonstrating that even…

An alternative content method, allowing bipolar representation and based on separate scaling of quality and intensity, is presented. For comparative purposes the method was used together with a distance method and an ordinary content method, with nine words denoting emotions as stimuli. (Author)

Results support the state-trait distinction in anxiety research. For two different samples, three separate A-State factors emerged, each associated with different occasions of measurement that were associated with differing amounts of situational stress. (Author/BJG)