Supporting Teachers’ Data-Based Individualization of Early Writing Instruction: An Efficacy Trial

Kristen L. McMaster, Erica S. Lembke, Emma Shanahan, Seohyeon Choi, Jechun An, Christopher Schatschneider, McKinzie D. Duesenberg-Marshall, Seyma Birinci, Elizabeth McCollom, Carol Garman, Kim Moore

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In a multiyear, multisite, randomized control trial, we examined the effects of comprehensive professional development designed to support teachers’ data-based instruction (DBI) for students with intensive early writing needs. Teachers (N = 154; primarily special educators or intervention specialists) were assigned randomly to a treatment group (n = 76), in which they received tools, learning, and coaching to support their DBI implementation over 20 weeks, or to a control group (n = 78). Students either received DBI in early writing (n = 155) from treatment teachers or their usual writing instruction (n = 154) from control teachers. Treatment teachers outperformed controls on measures of DBI knowledge and skills (d = 1.57) and self-efficacy for writing instruction (d =.94), and treatment students outperformed controls on proximal and distal writing outcomes (ds =.14–.29). Student characteristics (grade, special education status, English learner status, and race/ethnicity) did not moderate intervention effects. We discuss findings in terms of the importance of supporting students with intensive learning needs, the efficacy and feasibility of implementing DBI-TLC, and implications for pre- and in-service teacher training and support.

Original languageEnglish (US)
JournalJournal of Learning Disabilities
DOIs
StateAccepted/In press - 2024

Bibliographical note

Publisher Copyright:
© Hammill Institute on Disabilities 2024.

Keywords

  • curriculum-based measurement
  • data-based instruction
  • early intervention
  • students with disabilities
  • writing

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