Dynamic Norming for Systematic Analysis of Language Transcripts.

Purpose: This exploratory study sought to establish the psychometric stability of a dynamic norming system using the Systematic Analysis of Language Transcripts (SALT) databases. Dynamic norming is the process by which clinicians select a subset of the normative database sample matched to their individual client's demographic characteristics.

Method: The English Conversation and Student-Selected Story (SSS) Narrative databases from SALT were used to conduct the analyses in two phases.

Using Language Sample Analysis to Assess Spoken Language Production in Adolescents.

Purpose: This tutorial discusses the importance of language sample analysis and how Systematic Analysis of Language Transcripts (SALT) software can be used to simplify the process and effectively assess the spoken language production of adolescents.

Method: Over the past 30 years, thousands of language samples have been collected from typical speakers, aged 3-18 years, in conversational and narrative contexts. These samples have been formatted as reference databases included with SALT.

Clinical impact of wordless picture storybooks on bilingual narrative language production: A comparison of the 'Frog' stories.

Background: Language sampling, recognized as a gold standard for expressive language assessment, is often elicited using wordless picture storybooks. A series of wordless storybooks, commonly referred to as 'Frog' stories, have been frequently used in language-based research with children from around the globe.

Aims: To examine the impact that differences in stories have on narrative output by comparing narrative productions across a series of five storybooks produced by 831 bilingual (Spanish-English) children in kindergarten through third grade.

Language sampling: does the length of the transcript matter?

Purpose: Language sample analysis is considered by many to be the gold standard for documenting children's oral language skills. One limitation, however, is the time required for collection and transcription of language samples. The goal of this study was to determine if stable language sample measures could be generated using relatively short language samples.

Using language sample databases.

Purpose: Over the past 50 years, language sample analysis (LSA) has evolved from a powerful research tool that is used to document children's linguistic development into a powerful clinical tool that is used to identify and describe the language skills of children with language impairment. The The Systematic Analysis of Language Transcripts (SALT; J. F.

Properties of the narrative scoring scheme using narrative retells in young school-age children.

Purpose: To evaluate the clinical utility of the narrative scoring scheme (NSS) as an index of narrative macrostructure for young school-age children.

Method: Oral retells of a wordless picture book were elicited from 129 typically developing children, ages 5-7. A series of correlations and hierarchical regression equations were completed using microstructural measures of vocabulary and grammar to predict NSS scores.

It is not just the poor kids: the use of AAE forms by African-American school-aged children from middle SES communities.

Unlabelled: This study examined the production of African-American English (AAE) forms produced by 69 school-aged African-American children from middle socio-economic status (SES) communities to determine if age would influence: (a) the number of different types of AAE tokens and (b) the rate of dialect. Descriptive data revealed that there were more than 20 AAE morpho-syntactic forms collectively used by the children. The findings also indicated that factors of age, gender, and sampling context interacted in a variety of ways to influence these children's production of the number of different types of AAE tokens, and the rate of dialect.