Topics include: measurement of change, growth curve models, analysis of durations including survival analysis, experimental and non-experimental group comparisons, reciprocal effects, stability.
Description of the developed models, analysis of various test use cases, and possible future research directions are outlined.
To evaluate treatment effects, we used repeated measures mixed models analysis of covariance with baseline data as our covariate.
Repeated-measure analyses encompass univariate models (with or without sphericity adjustment), multivariate models, mixed models, analysis of covariance, multilevel models, latent growth models, and hybrids of these models.
Statistical significance was assessed with segmented mixed general linear models, analysis of covariance, general estimating equations, χ2, and Fisher's exact procedure.
Understanding changes and improving the predictability of weather and climate from local to global scales requires observations over sufficiently long time periods, conceptual and numerical models, analysis of dynamics, pressure systems, cloud and radiation processes, and atmospheric trends, likelihoods, and probabilities.
Statistical analysis used SPSS general linear model analysis of variance for repeated measures.
A diffusion model analysis of the effects of aging on brightness discrimination.
The current model analysis of the mid-tropospheric steering winds shows this area of high pressure — the subtropical ridge (below).
This example illustrates how careful model analysis of the most significant descriptors can yield simple heuristic rules for materials design.
Experiment 2 was a between groups experiment and therefore analysed with the general linear model (analysis of covariance).
