Behavioral and cognitive psychotherapies are the most widely studied psychological interventions for anxiety disorders. In the present article, the results of ten years of meta-analytic studies on psychotherapies for the various anxiety disorders are reviewed and the relative effectiveness of cognitive and behavioral therapeutic methods is examined. Meta-analytic results support the effectivene...

The identification, design and implementation of “sustainable energy systems” is a key element towards successfully approaching “sustainable development.” SESAMS seeks to develop the fundamental strategic analytic capabilities necessary to identify the sustainable production and use of electricity over the next several decades, primarily via the integration of existing and innovative models and...

We discuss the logic of research designs for dyadic interaction and present statistical models with parameters that are tied to psychologically relevant constructs. Building on Karl Pearson's classic nineteenth-century statistical analysis of within-organism similarity, we describe several approaches to indexing dyadic interdependence and provide graphical methods for visualizing dyadic data. W...

Recent discussions of the influence of publication bias and questionable research practices on psychological science have increased researchers’ interest in both biascorrecting meta-analytic techniques and preregistered replication. Both approaches have their strengths: For example, meta-analyses can quantitatively characterize the full body of work being done in the field of interest and prere...

The technology and application of current accelerometer-based devices in physical activity (PA) research allow the capture and storage or transmission of large volumes of raw acceleration signal data. These rich data not only provide opportunities to improve PA characterisation, but also bring logistical and analytic challenges. We discuss how researchers and developers from multiple discipline...

Meta-analytic techniques allow cognitive neuroscientists to pool large amounts of data across many individual task-based functional neuroimaging experiments. These methods have been aided by the introduction of online databases such as Brainmap.org or Neurosynth.org, which collate peak activation coordinates obtained from thousands of published studies. Findings from meta-analytic studies typic...

Although significant progress has been made towards effective insight discovery in visual analytics systems, there are few effective approaches for managing the large number of insights generated in visual analytics processes. This paper presents ManyInsights, a multidimensional visual analytics prototype that integrates several novel insight management approaches proposed by the authors in the...

This paper introduces a two-dimensional (2-D) generalization of the analytic signal. This novel approach is based on the Riesz transform, which is used instead of the Hilbert transform. The combination of a 2-D signal with the Riesz transformed one yields a sophisticated 2-D analytic signal: the monogenic signal. The approach is derived analytically from irrotational and solenoidal vector field...