Identity is a critical developmental task during the transition to adulthood in Western societies. The purpose of the present study was to evaluate an empirically based, cluster-analytic identity status model, to examine whether all four of Marcia's identity statuses (diffusion, foreclosure, moratorium, and achievement) would emerge empirically, and to identify different patterns of identity fo...

This half-day workshop will discuss how to enrich research by marrying academic and industry-based work. Attendees will learn the theoretical, practical, and logistical complexities involved in advancing cognitive science across these distinct research sites. This topic is relevant to the cognitive community because academia and industry often have common goals but distinct capabilities. For ex...

Health outcomes research applies a wide range of methods to identify optimal approaches to determine optimal approaches to determine the effects of healthcare interventions and policies. Critical evaluation skills are necessary to navigate the evidence and identify studies that should influence clinical decision making and policy. A hierarchical “pyramid of evidence” that emphasizes randomized ...

It is often argued that experiments are strong on causal identification (internal validity) but weak on generalizability (external validity). One widely accepted way to limit threats to external validity is to incorporate as much variation in the background conditions and in the covariates as possible through replication. Another strategy is to make the theoretical foundations of the experiment...

Building predictive models in customer relationship management refers to each stage in the customer’s lifecycle, i.e. the customer acquisition, development and retention. One may notice that the construction of predictive models is more and more frequently accompanied by an attempt to combine analytical tools of the same type or combining various methods. The first approach is named “ensemble m...

This paper presents a type-2 fuzzy rule based expert system to handle uncertainty in complex problems such as portfolio selection. In a type-2 fuzzy expert system both antecedent and consequent have type-2 membership function. This research uses indirect approach fuzzy modeling, where the rules are extracted automatically by implementing a clustering approach. For this purpose, a new cluster an...

Interpretation of aerial images is an important task in various applications. Image segmentation can be viewed as the essential step for extracting information from aerial images. Among many developed segmentation methods, the technique of clustering has been extensively investigated and used. However, determining the number of clusters in an image is inherently a difficult problem, especially ...

Hierarchical clustering algorithms are widely used in many fields of investigation. They provide a hierarchy of partitions of the same dataset. However, in many practical problems, the selection of a representative level (partition) in the hierarchy is needed. The classical approach to do so is by using a cluster validity index to select the best partition according to the criterion imposed by ...

Classical peaks over threshold analysis is widely used for statistical modeling of sample extremes, and can be supplemented by a model for the sizes of clusters of exceedances. Under mild conditions a compound Poisson process model allows the estimation of the marginal distribution of threshold exceedances and of the mean cluster size, but requires the choice of a threshold and of a run paramet...

Identity is a critical developmental task during the transition to adulthood in Western societies. The purpose of the present study was to evaluate an empirically based, cluster-analytic identity status model, to examine whether all four of Marcia’s identity statuses (diffusion, foreclosure, moratorium, and achievement) would emerge empirically, and to identify different patterns of identity fo...