Mathematical Models and Formulas for Language Development and Disorders: A Collection of Hypothetical and Novel Approaches

Mathematical Models and Formulas for Language Development and Disorders: A Collection of Hypothetical and Novel Approaches

DOI: 10.4018/979-8-3693-1982-6.ch018
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Abstract

This chapter presents a collection of hypothetical and novel mathematical models and formulas for language development and disorders. The author explores the potential and limitations of using mathematics to understand, measure, predict, and intervene in various aspects of language development and disorders, such as genetic, environmental, cognitive, linguistic, and social factors. The chapter consists of several parts. One part introduces the language development index (SLDI), a formula that measures the level of language development in children with or without developmental language disorders (DLD). Anotehr describes the hypothesis of language disorder inheritance, a formula that predicts the inheritance pattern based on genetic and environmental factors. The third section explains the linguistic complexity index for developmental language disorders and so on. The chapter concludes with a discussion of the advantages and disadvantages of using mathematical models and formulas in language development research and practice, as well as some suggestions for future directions.
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S M Nazmuz Sakib's Language Development Index (Sldi)

This is a hypothetical formula that aims to measure the level of language development in children with or without developmental language disorders (DLD). The formula is based on the assumption that language development is influenced by multiple factors, such as genetic, neural, cognitive, behavioral, and environmental variables. The formula is:

979-8-3693-1982-6.ch018.m01
where:

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    SLDI is the language development index, ranging from 0 to 100, with higher scores indicating better language development.

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    LQ is the language quotient, a standardized measure of linguistic abilities, such as vocabulary, grammar, pragmatics, and phonology.

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    IQ is the intelligence quotient, a standardized measure of general cognitive abilities, such as reasoning, memory, and problem-solving.

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    EQ is the emotional quotient, a standardized measure of emotional and social skills, such as empathy, self-regulation, and communication.

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    SQ is the social quotient, a standardized measure of social and interpersonal skills, such as cooperation, perspective-taking, and friendship.

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    GR is the genetic risk factor, a score based on the presence or absence of genetic mutations or syndromes associated with DLD, such as FOXP2, KIAA0319, or Down syndrome.

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    NR is the neural risk factor, a score based on the presence or absence of brain abnormalities or injuries associated with DLD, such as dysgenesis of the corpus callosum, perinatal stroke, or hypoxia.

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    CR is the cognitive risk factor, a score based on the presence or absence of cognitive impairments or disorders associated with DLD, such as intellectual disability, autism spectrum disorder, or attention deficit hyperactivity disorder.

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    BR is the behavioral risk factor, a score based on the presence or absence of behavioral problems or disorders associated with DLD, such as anxiety, depression, or conduct disorder.

The formula can be applied to children with or without DLD to compare their language development levels and identify areas of strength and weakness. The formula can also be used to track changes in language development over time and evaluate the effects of interventions or therapies.

Figure 1.

Visualization of the concept of SLDI

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The hypothesis is that children with DLD will have lower SLDI scores than their typically developing peers due to lower LQ scores and higher GR, NR, CR, and BR scores. The hypothesis can be tested by collecting data from a large sample of children with and without DLD using standardized assessments and questionnaires. The hypothesis can also be explored in relation to historical incidents related to developmental language disorders. For example:

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    How did SLDI scores vary across different populations of children with DLD who spoke different languages or were bilingual?

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    How did SLDI scores change over time for children with DLD who received different types of special education and therapy?

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    How did SLDI scores correlate with school performance, social inclusion, and well-being for children with DLD?

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    How did SLDI scores differ between children with DLD who had different etiologies or comorbidities?

Application of S M Nazmuz Sakib's Language Development Index (SLDI) in the Helsinki Longitudinal SLI Study (HelSLI)

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