It is increasingly important for banks to analyze and understand their risk’s portfolio, in particularly those related to credit card as it is one of those instruments that provide the highest return as well as potentially, most risky. The competitive level for the credit card business have increased significantly in the last few years due to the push by the banks to brought forth many new diff...

The aim of this study was to assess the reliability and validity of the Questionnaire of Cognitive Schema Activation in Sexual Context (QCSASC; Nobre & Pinto-Gouveia, 2000b). A total of 319 individuals (96 with sexual dysfunctions and 223 without sexual dysfunctions) participated in the study. The QCSASC assesses 28 self-schemas proposed by J. S. Beck (1995), usually associated with psychologic...

BACKGROUND Mental health problems are a major public health challenges, and strategies of early prevention are needed. Effective prevention depends on feasible and validated measures of screening and intervention. Previous research has demonstrated potentials for infant mental health screening by community health nurses (CHN) in existing service settings in Denmark. This study was conducted to ...

background: finding the right word is a necessity in communication, and its evaluation has always been a challenging clinical issue, suggesting the need for valid and reliable measurements. the homophone meaning generation test (hmgt) can measure the ability to switch between verbal concepts, which is required in word retrieval. the purpose of this study was to adapt and validate the persian ve...

Rough K-means algorithm has shown that it can provides a reasonable set of lower and upper bounds for a given dataset. With the conceptions of the lower and upper approximate sets, rough k-means clustering and its emerging derivatives become valid algorithms in vague information clustering. However, the most available algorithms ignore the difference of the distances between data objects and cl...

Gaining confidence that a clustering algorithm has produced meaningful results and not an accident of its usually heuristic optimization is central to data mining. This is the issue of cluster validity. We propose here a method by which proximity graphs are used to effectively detect border points and measure the margin between clusters. With analysis of boundary situation, we design a framewor...

This study provides convergent, discriminant, and incremental validity data for the Five-Factor Obsessive-Compulsive Inventory (FFOCI), a newly developed measure of traits relevant to obsessive-compulsive personality disorder (OCPD) from the perspective of the Five-factor model (FFM). Twelve scales were constructed as maladaptive variants of specific FFM facets (e.g., Perfectionism as a maladap...

Challenges of visualization and clustering are explored with respect to sequence data from a simulation-based assessment task. Visualization issues include representing progress towards a goal and accounting for variable-length sequences. Clustering issues focus on external criteria with respect to official scoring rubrics of the same sequence data. The analysis has a confirmatory flavor; the g...