Statistical Models

A Bayesian hierarchical measurement model for assessing repetition learning effects in empirical data on the level of individual participants. Crucially, this model is based on recent evidence that repetition learning effects depends on participants' ability to recognize what is being repeated to them. As long as repeating stimuli are not identified as such, no learning effects are observed. To account for this, the model is set up as a mixture model, which allows to classify if a participant produced a learning effect or not. Furthermore, it contains a free parameter for assessing the onset point of a learning effect throughout a time series of repeated practice trials. This parameter allows to delay the onset of any learning effects, as long as repetitions are not noticed.