Introducing a Non-Dichotomous Method for Scoring Selected-Response Tests

Non-English Response Detection Method for Automated Proficiency Scoring System

This paper presents a method for identifying non-English speech, with the aim of supporting an automated speech proficiency scoring system for non-native speakers. The method uses a popular technique from the language identification domain, a single phone recognizer followed by multiple languagedependent language models. This method determines the language of a speech sample based on the phonot...

Non-response in Sampling from a Dichotomous Finite Population Non-response in Sampling from a Dichotomous Finite Population (^223^66)

Introducing a New Method for Multiarea Transmission Networks Loss Allocation

Transmission loss allocation in very large networks with multiple interconnected areas or countries is investigated in this paper. The main contribution is to propose a method to calculate the amount of losses due to activity of each participant in the multi area markets. Pricing of cross-border trades in Multi area systems is often difficult since individual countries may use incompatible ...

Introducing a clinical-behavioural scoring system for children's oral hygiene.

OBJECTIVES Developing and testing a clinical-behavioural scoring system for assessing children's oral hygiene. MATERIALS AND METHODS One clinical variable (the presence of dental plaque, measured using Silness and Loe's index) and one behavioural variable (self-reported tooth brushing frequency) were combined into secondary data analysis of research databases for 3-6-year-olds and 6-13-year-o...

Comparing family-based rare variant association tests for dichotomous phenotypes

BACKGROUND It has been repeatedly stressed that family-based samples suffer less from genetic heterogeneity and that association analyses with family-based samples are expected to be powerful for detecting susceptibility loci for rare disease. Various approaches for rare-variant analysis with family-based samples have been proposed. METHODS In this report, performances of the existing methods...

Similarity-Based Non-Scorable Response Detection for Automated Speech Scoring

This study provides a method that identifies problematic responses which make automated speech scoring difficult. When automated scoring is used in the context of a high stakes language proficiency assessment, for which the scores are used to make consequential decisions, some test takers may have an incentive to try to game the system in order to artificially inflate their scores. Since many a...