The intent of this paper is to demonstrate that the standard age effect in analysis of variance provides an ineffective means of assessing developmental change when several age levels are involved and a roughly monotonic trend can be expected. (Author)

The conventional analysis of variance applied to designs in which each subject is measured repeatedly requires stringent assumptions regarding the variance-covariance structure of the data. This paper considers alternatives when heterogeneity of covariance exists, including nonparametric tests, randomization and matching procedures, Box and…

Results indicated that availability of categories rather than frequency of words seemed most crucial in determining developmental changes in clustering efficiency. (Authors)

Uses structural equation modeling to combine traditional ideas from repeated-measures ANOVA with some traditional ideas from longitudinal factor analysis. The model describes a latent growth curve model that permits the estimation of parameters representing individual and group dynamics. (Author/RH)

Addresses three issues concerning the assessment of the overrating and underrating of academic competence: (1) the impossibility of separating effects of overrating and underrating from effects of perceived and actual competence; (2) the questionable validity of Connell and Ilardi's method; and (3) the proposal of a new method and its implications…