A Bayesian-Inspired Item Response Theory-Based Framework to Produce Very Short Versions of MacArthur-Bates Communicative Development Inventories.

Purpose: This study introduces a framework to produce very short versions of the MacArthur-Bates Communicative Development Inventories (CDIs) by combining the Bayesianinspired approach introduced by Mayor and Mani (2019) with an item response theory-based computerized adaptive testing that adapts to...

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Publicado en:Journal of Speech, Language & Hearing Research Vol. 63; no. 10; pp. 3488 - 3501
Autores principales: Jun Ho Chai, Chang Huan Lo, Mayor, Julien
Formato: Artículo
Publicado: American Speech-Language-Hearing Association Oct2020
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2020
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      pub: American Speech-Language-Hearing Association
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        10.1044/2020_JSLHR-20-00361
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        atl: A Bayesian-Inspired Item Response Theory-Based Framework to Produce Very Short Versions of MacArthur-Bates Communicative Development Inventories.
      aug:
        au:
          Jun Ho Chai
          Chang Huan Lo
          Mayor, Julien
        affil:
          University of Nottingham Malaysia, Semenyih, Selangor
          University of Oslo, Norway
      su:
        Computers
        Language acquisition
        Vocabulary
        Theory-practice relationship
        Comparative studies
        Computer adaptive testing
        English language
        Research funding
        Professional practice
        Data analysis
        Descriptive statistics
      sug:
        subj:
          Computers
          Language acquisition
          Vocabulary
          Theory-practice relationship
          Computer, computer peripheral and pre-packaged software merchant wholesalers
          Computer and software stores
          Electronics Stores
          Computer and Computer Peripheral Equipment and Software Merchant Wholesalers
          Electronic Computer Manufacturing
          Computer and peripheral equipment manufacturing
          Comparative studies
          Computer adaptive testing
          English language
          Research funding
          Professional practice
          Data analysis
          Descriptive statistics
      ab: Purpose: This study introduces a framework to produce very short versions of the MacArthur-Bates Communicative Development Inventories (CDIs) by combining the Bayesianinspired approach introduced by Mayor and Mani (2019) with an item response theory-based computerized adaptive testing that adapts to the ability of each child, in line with Makransky et al. (2016). Method: We evaluated the performance of our approach-- dynamically selecting maximally informative words from the CDI and combining parental response with prior vocabulary data--by conducting real-data simulations using four CDI versions having varying sample sizes on Wordbank--the online repository of digitalized CDIs: American English (a very large data set), Danish (a large data set), Beijing Mandarin (a medium-sized data set), and Italian (a small data set). Results: Real-data simulations revealed that correlations exceeding .95 with full CDI administrations were reached with as few as 15 test items, with high levels of reliability, even when languages (e.g., Italian) possessed few digitalized administrations on Wordbank. Conclusions: The current approach establishes a generic framework that produces very short (less than 20 items) adaptive early vocabulary assessments--hence considerably reducing their administration time. This approach appears to be robust even when CDIs have smaller samples in online repositories, for example, with around 50 samples per month-age.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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