Giving dyadic data analysis away: A user‐friendly app for actor–partner interdependence models

The actor–partner interdependence model (APIM) is widely used for analyzing dyadic data. Although dyadic research has become immensely popular, its statistical complexity can be a barrier. To remedy this, a free user‐friendly web application, called APIM_SEM, has been developed. This app automatically performs the statistical analyses (i.e., structural equation modeling) of both simple and complex APIMs. It allows the researcher to analyze distinguishable or indistinguishable dyads, to examine dyadic patterns, to estimate actor and partner effects of one or two predictors, and to control for covariates. Results are provided in software and text format, complemented by summary tables and figures. As an illustration, the effect of perception of the partner on satisfaction is assessed by fitting APIMs with varying complexity.     

Common mechanisms in apparent motion perception and visual pattern matching

There are close functional similarities between apparent motion perception and visual pattern matching. In particular, striking functional similarities have been demonstrated between perception of rigid objects in apparent motion and purely mental transformations of visual size and orientation used in comparisons of objects with respect to shape but regardless of size and orientation. In both cases, psychophysical data suggest that differences in visual size are resolved as differences in depth, such that transformation of size is done by translation in depth. Furthermore, the process of perceived or imagined translation appears to be stepwise additive such that a translation over a long distance consists of a sequence of smaller translations, the durations of these steps being additive. Both perceived and imagined rotation also appear to be stepwise additive, and combined transformations of size and orientation appear to be done by alternation of small steps of pure translation and small steps of pure rotation. The functional similarities suggest that common mechanisms underlie perception of apparent motion and purely mental transformations. In line with this suggestion, functional brain imaging has isolated neural structures in motion area MT used in mental transformation of size.     

On sensation, perception and thought: A reply to Rönnberg

A traditional partition of cognitive phenomena into sensation, perception and thought is reintroduced in response to recent arguments (Rönnberg, 1990) for conditions that must be met in order to distinguish between perception and cognition. The suggested division seems grossly compatible with Ronnberg's basic aim and receives support from several different lines of inquiry, including single cell recordings in the brain, neurospsychology, computational studies of vision and experimental psychology.