Tactile errors of localization on the sternums of tactaid VII users and non-users

This paper discusses a study done to test tactile errors of localization abilities, with and without a Tactaid VII communication aid.

Common errors made by clinic patients responding to the W-22 and NU-6 word lists

This paper presents a study of common errors made during speech discrimination testing.

The validation of CID's Grammatical Analysis of Elicited Language with language delayed children

This paper examines the Central Institute for the Deaf’s "Grammatical Analysis of Elicited Language" (GAEL) test of expressive language and whether it identifies children with language disorders. Also examined is the relative difficulty of each of the grammatical categories sampled on the GAEL in relation to the standardization sample.

Grammatical analysis of spoken language samples from deaf and hearing adolescents

This paper reviews a study to determine whether language delays in hearing impaired children are permanent.

The Developmental Sentence Analysis and the Grammatical Analysis of Elicited Language - Complex Level: a correlative study

This paper studies the Developmental Sentence Analysis (DSA), which measures syntactic maturity of spontaneous utterances, and the Grammatical Analysis of Elicited Language (GAEL), which uses a highly structured set of games and activities designed to elicit specific target sentences.

Dialogue journals: A non-threatening way to correct written language errors

The goals of the present study are: to determine if dialogue journals are an effective activity within a balanced literacy program to improve on written language errors in students who are deaf and hard of hearing.

Correlated observation errors in data assimilation

Data assimilation provides techniques for combining observations and prior model forecasts to create initial conditions for numerical weather prediction (NWP). The relative weighting assigned to each observation in the analysis is determined by its associated error. Remote sensing data usually has correlated errors, but the correlations are typically ignored in NWP. Here, we describe three approaches to the treatment of observation error correlations. For an idealized data set, the information content under each simplified assumption is compared with that under correct correlation specification. Treating the errors as uncorrelated results in a significant loss of information. However, retention of an approximated correlation gives clear benefits.