Efficient measurement of writing knowledge with forced-choice tasks: Preliminary data using the student knowledge of writing tests

Authors

  • Gary Troia Michigan State University
  • Frank Lawrence Michigan State University
  • Julie Brehmer Saginaw Valley State University
  • Kaitlin Glause Millikin University
  • Heather Reichmuth University of Southern Main

DOI:

https://doi.org/10.17239/jowr-2023.15.02.06

Keywords:

writing knowledge, writing quality, assessment, late elementary

Abstract

Much of the research that has examined the writing knowledge of school-age students has relied on interviews to ascertain this information, which is problematic because interviews may underestimate breadth and depth of writing knowledge, require lengthy interactions with participants, and do not permit a direct evaluation of a prescribed array of constituent knowledge elements. For these reasons, our goal in this study is to report the development, piloting, and field testing, using a sample of 335 students from grades 4 and 5, of four alternate versions of a writing knowledge assessment—the Student Knowledge of Writing Test (SKOWT)—that uses forced-choice responses to evaluate students’ knowledge of writing processes, genre elements, and linguistic features of written language. All versions of the SKOWT demonstrated adequate internal consistency reliability and construct validity based on exploratory factor analyses following deletion of some items. In addition, there was acceptable predictive criterion validity based on associations of SKOWT scores with subtests from the Test of Written Language-4 and measures of narrative, opinion, and informative essay quality. We discuss how the SKOWT might be used in future research and educational practice. 

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Published

2023-03-28

How to Cite

Troia, G., Lawrence, F., Brehmer, J., Glause, K., & Reichmuth, H. (2023). Efficient measurement of writing knowledge with forced-choice tasks: Preliminary data using the student knowledge of writing tests . Journal of Writing Research, 15(2), 395–427. https://doi.org/10.17239/jowr-2023.15.02.06

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Section

Methods