Measuring and Assessing Typing Skills in Writing Research

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Research Organisations

External Research Organisations

  • University of Antwerp (UAntwerpen)
  • Nottingham Trent University
  • Universite de Poitiers
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Details

Original languageEnglish
Pages (from-to)107-153
Number of pages47
JournalJournal of Writing Research
Volume13
Issue number1
Publication statusPublished - 2021

Abstract

In keyboard writing, typing skills are considered an important prerequisite of proficient text production. We describe the design, implementation, and application of a standardized copy-typing task in order to measure and assess individual typing fluency. A test-retest analysis indicates the instrument’s reliability. While the task has been developed across eleven different languages and the related keyboard layouts, we here refer to a corpus of Dutch copy tasks (N = 1682). Analyses show that copying speed non-linearly varies with age. Bayesian analyses reveal differences in the typing performance and the underlying distributions of inter-key intervals between the different task components (e.g., lexical vs. non-lexical materials; high-frequent vs. lowfrequent bigrams). Based on these findings it is strongly recommended to include copy-task measures in the analysis of keystroke logging data in writing studies. This supports a better comparability and interpretability of keystroke data from more complex or communicatively-embedded writing tasks across individuals. Further potential applications of the copy task for writing research are explained and discussed.

Keywords

    copy task, motor skills, transcription processes, typing skills, writing fluency, writing processes

ASJC Scopus subject areas

Cite this

Measuring and Assessing Typing Skills in Writing Research. / Waes, Luuk Van; Leijten, Mariëlle; Roeser, Jens et al.
In: Journal of Writing Research, Vol. 13, No. 1, 2021, p. 107-153.

Research output: Contribution to journalArticleResearchpeer review

Waes, LV, Leijten, M, Roeser, J, Olive, T & Grabowski, J 2021, 'Measuring and Assessing Typing Skills in Writing Research', Journal of Writing Research, vol. 13, no. 1, pp. 107-153. https://doi.org/10.17239/JOWR-2021.13.01.04
Waes, L. V., Leijten, M., Roeser, J., Olive, T., & Grabowski, J. (2021). Measuring and Assessing Typing Skills in Writing Research. Journal of Writing Research, 13(1), 107-153. https://doi.org/10.17239/JOWR-2021.13.01.04
Waes LV, Leijten M, Roeser J, Olive T, Grabowski J. Measuring and Assessing Typing Skills in Writing Research. Journal of Writing Research. 2021;13(1):107-153. doi: 10.17239/JOWR-2021.13.01.04
Waes, Luuk Van ; Leijten, Mariëlle ; Roeser, Jens et al. / Measuring and Assessing Typing Skills in Writing Research. In: Journal of Writing Research. 2021 ; Vol. 13, No. 1. pp. 107-153.
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title = "Measuring and Assessing Typing Skills in Writing Research",
abstract = "In keyboard writing, typing skills are considered an important prerequisite of proficient text production. We describe the design, implementation, and application of a standardized copy-typing task in order to measure and assess individual typing fluency. A test-retest analysis indicates the instrument{\textquoteright}s reliability. While the task has been developed across eleven different languages and the related keyboard layouts, we here refer to a corpus of Dutch copy tasks (N = 1682). Analyses show that copying speed non-linearly varies with age. Bayesian analyses reveal differences in the typing performance and the underlying distributions of inter-key intervals between the different task components (e.g., lexical vs. non-lexical materials; high-frequent vs. lowfrequent bigrams). Based on these findings it is strongly recommended to include copy-task measures in the analysis of keystroke logging data in writing studies. This supports a better comparability and interpretability of keystroke data from more complex or communicatively-embedded writing tasks across individuals. Further potential applications of the copy task for writing research are explained and discussed.",
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note = "Funding Information: For the technical development of the Inputlog copy task, we would like to thank Tom Pauwaert, Eric Van Horenbeeck and Sebastian Fierens. For collecting the Dutch corpus of copy tasks, we would like to thank all the researchers that contributed to this corpus. Especially thanks to Nina Vandermeulen (NWO-LIFT project), Lise Paesen and Catherine Meulemans (FWO/BOF project) and master students of Multilingual Professional Communication (University of Antwerp) for making their copy task data available for this study. We also thank Thomas Quinlan for proofreading an earlier version of this manuscript. Within the context of the European literacy network (ELN) COST Network (IS1401) and EarlyWritePro (Developing methods for understanding early writing through analysis of process disfluencies) the copy task has been developed in different languages. We thank Lise Fontaine (Cardiff University, UK), Mark Torrance (Nottingham University, UK), Thierry Olive (CNRS at University of Poitiers, France), Esther Breuer (University of Cologne, Germany), Olga Witczak (Adam Mickiewicz University, Poland), Teresa Limpo (University of Porto, Portugal), Anna Sala (University of Barcelona, Spain), ?sa Wengelin (University of Gothenburg, Sweden), Victoria Johansson (University of Lund, Sweden), Gulay Tiryakioglu (University of Lyon 2, France), Vibeke R?nneberg (University of Stavanger, Norway), Anne S?tersdal Myklestad (Western Norway University of Applied Sciences, Norway) and Alessandra Rossetti (University of Antwerp, Belgium). ",
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AU - Olive, Thierry

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N1 - Funding Information: For the technical development of the Inputlog copy task, we would like to thank Tom Pauwaert, Eric Van Horenbeeck and Sebastian Fierens. For collecting the Dutch corpus of copy tasks, we would like to thank all the researchers that contributed to this corpus. Especially thanks to Nina Vandermeulen (NWO-LIFT project), Lise Paesen and Catherine Meulemans (FWO/BOF project) and master students of Multilingual Professional Communication (University of Antwerp) for making their copy task data available for this study. We also thank Thomas Quinlan for proofreading an earlier version of this manuscript. Within the context of the European literacy network (ELN) COST Network (IS1401) and EarlyWritePro (Developing methods for understanding early writing through analysis of process disfluencies) the copy task has been developed in different languages. We thank Lise Fontaine (Cardiff University, UK), Mark Torrance (Nottingham University, UK), Thierry Olive (CNRS at University of Poitiers, France), Esther Breuer (University of Cologne, Germany), Olga Witczak (Adam Mickiewicz University, Poland), Teresa Limpo (University of Porto, Portugal), Anna Sala (University of Barcelona, Spain), ?sa Wengelin (University of Gothenburg, Sweden), Victoria Johansson (University of Lund, Sweden), Gulay Tiryakioglu (University of Lyon 2, France), Vibeke R?nneberg (University of Stavanger, Norway), Anne S?tersdal Myklestad (Western Norway University of Applied Sciences, Norway) and Alessandra Rossetti (University of Antwerp, Belgium).

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