نتایج جستجو برای: rating scoring

تعداد نتایج: 83735  

Journal: :Neuropsychiatric disease and treatment 2016
Mohammad Ahmadpanah Meisam Sheikhbabaei Mohammad Haghighi Fatemeh Roham Leila Jahangard Amineh Akhondi Dena Sadeghi Bahmani Hafez Bajoghli Edith Holsboer-Trachsler Serge Brand

BACKGROUND AND AIMS The Montgomery-Asberg Depression Rating Scale (MADRS) is an expert's rating tool to assess the severity and symptoms of depression. The aim of the present two studies was to validate the Persian version of the MADRS and determine its test-retest reliability in patients diagnosed with major depressive disorders (MDD). METHODS In study 1, the translated MADRS and the Hamilto...

Journal: :Journal of rehabilitation medicine 2015
Asaduzzaman Khan Chi-Wen Chien Karl S Bagraith

OBJECTIVE To investigate whether using a parametric statistic in comparing groups leads to different conclusions when using summative scores from rating scales compared with using their corresponding Rasch-based measures. METHODS A Monte Carlo simulation study was designed to examine between-group differences in the change scores derived from summative scores from rating scales, and those der...

2002
Dirk Tasche

The consultative papers for the Basel II Accord require rating systems to provide a ranking of obligors in the sense that the rating categories indicate the creditworthiness in terms of default probabilities. As a consequence, the default probabilities ought to present a monotonous function of the ordered rating categories. This requirement appears quite intuitive. In this paper, however, we sh...

2006
Thomas Annen

„LFA-Rating“ is a scoring model that represents the economic situation of farms objectively and easy to understand. With this information, farmers recognize strengths and failures in the profitability, financing and growth of their farms and may react earlier before they get into economic crisis. LFA-Rating Das Punktwertverfahren „LFA-Rating“ beurteilt Finanzierung, Rentabilität und Wachstum vo...

2009
Thomas Eckes

This chapter provides an introductory overview of many-facet Rasch measurement (MFRM). Broadly speaking, MFRM refers to a class of measurement models that extend the basic Rasch model by incorporating more variables (or facets) than the two that are typically included in a test (i.e., examinees and items), such as raters, scoring criteria, and tasks. Throughout the chapter, a sample of rating d...

Journal: :Stroke 2006
Elisabeth C W van Straaten Franz Fazekas Egill Rostrup Philip Scheltens Reinhold Schmidt Leonardo Pantoni Domenico Inzitari Gunhild Waldemar Timo Erkinjuntti Riita Mäntylä Lars-Olof Wahlund Frederik Barkhof

BACKGROUND AND PURPOSE White matter hyperintensities (WMH) are associated with decline in cognition, gait, mood, and urinary continence. Associations may depend on the method used for measuring WMH. We investigated the ability of different WMH scoring methods to detect differences in WMH load between groups with and without symptoms. METHODS We used data of 618 independently living elderly wi...

2012
Anastasia Gkotsi Dimosthenis Petsas Vasilios Sakalis Asterios Fotas Argyrios Triantafyllidis Ioannis Vouros Evangelos Saridakis Georgios Salpiggidis Athanasios Papathanasiou

PURPOSE Pain rating scales are widely used for pain assessment. Nevertheless, a new tool is required for pain assessment needs in retrospective studies. METHODS The postoperative pain episodes, during the first postoperative day, of three patient groups were analyzed. Each pain episode was assessed by a visual analog scale, numerical rating scale, verbal rating scale, and a new tool - pain po...

Journal: :Buana Information Technology and Computer Sciences 2022

This paper discusses the comparison of results testing OTP (One Time Password) algorithm on two encryptions, namely SHA512 and MD5 which are applied to Reconciliation Application Dinas Pemberdayaan Masyarakat dan Desa Kabupaten Sukabumi. study uses Vulnerability Assessment Penetration Testing (VAPT) method, combines forms vulnerability achieve a much more complete analysis by performing differe...

Journal: :Journal of Banking & Finance 2004

Journal: :Journal of physics 2021

Abstract Credit scoring is the core part of an institution’s lending. As artificial intelligence used in various fields, credit rating also under same topic accepting technological changes. Combining evaluation and machine learning can incorporate relatively comprehensive features into process. Through excellent performance Catboost, while ensuring accuracy, it demonstrates explainability model...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید