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...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 63; no. 10; pp. 3488 - 3501 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
American Speech-Language-Hearing Association
Oct2020
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=146545402&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 146545402 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Oct2020 vid: 63 iid: 10 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 146545402 10.1044/2020_JSLHR-20-00361 ppf: 3488 ppct: 13 formats: fmt: @attributes: type: P size: 1MB tig: 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 refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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