Modelling written language production in English: A Bayesian model of spelling

These data were gathered from PhD research and include:

- Outputs from testing the Bayesian model of spelling with items from a NAPLAN computerised dictation task trial (Willet & Gardiner, 2009) for grades 3, 5, 7, and 9 in 2018.

- Spreadsheets containing collated model outputs and student data from a NAPLAN computerised dictation task trial (Willet & Gardiner, 2009) for grades 3, 5, 7, and 9 for analysis in 2018.

- Analysis comparing model data with student data for grades 3, 5, 7, and 9 using independant samples Bayesian t-tests in 2018.

    Data Record Details
    Data record related to this publication Modelling written language production in English: A Bayesian model of spelling
    Data Publication title Modelling written language production in English: A Bayesian model of spelling
  • Description

    These data were gathered from PhD research and include:

    - Outputs from testing the Bayesian model of spelling with items from a NAPLAN computerised dictation task trial (Willet & Gardiner, 2009) for grades 3, 5, 7, and 9 in 2018.

    - Spreadsheets containing collated model outputs and student data from a NAPLAN computerised dictation task trial (Willet & Gardiner, 2009) for grades 3, 5, 7, and 9 for analysis in 2018.

    - Analysis comparing model data with student data for grades 3, 5, 7, and 9 using independant samples Bayesian t-tests in 2018.

  • Other Descriptors
    • Descriptor

      Dataset consists of 5 zip files: 1 for each of Grades 3 to 9 as outlined in the description and a file containing all spreadsheets saved in Open Document (.ods) format, for preservation purposes.

    • Descriptor type Note
  • Data type dataset
  • Keywords
    • spelling
    • psycholinguistics
    • Bayesian networks
  • Funding source
  • Research grant(s)/Scheme name(s)
  • Research themes
    Not aligned to a University theme
    FoR Codes (*)
    • 170204 - Linguistic Processes (incl. Speech Production and Comprehension)
    • 170205 - Neurocognitive Patterns and Neural Networks
    SEO Codes
    Specify spatial or temporal setting of the data
    Temporal (time) coverage
  • Start Date
  • End Date
  • Time Period
    Spatial (location) coverage
  • Locations
    Data Locations

    Type Location Notes
    Physical Location Research Data JCU secure CloudStor account
    The Data Manager is: Helen Mason
    College or Centre
    Access conditions Conditional: Contact researchdata@jcu.edu.au to request access to this data.
  • Alternative access conditions
  • Data record size 5 zip files: 3.6 MB
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  • Related metadata (including standards, codebooks, vocabularies, thesauri, ontologies)
  • Related data
      Name Willet, L., & Gardiner, A. (2009, July 9-12). Testing Spelling - Exploring NAPLAN. Paper presented at the AATE/ALEA National Conference on Bridging Divides: Ensuring Access, Equity and Quality in Literacy and English Education, Hobart. Brisbane: Queensland Studies Authority.
    • URL
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  • Related services
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    Citation Mason, Helen (2019): Modelling written language production in English: A Bayesian model of spelling. James Cook University. https://doi.org/10.25903/5d11645d15e5a