1,476
Views
16
CrossRef citations to date
0
Altmetric
Eye on EI

Using the Minnesota Handwriting Assessment and Handwriting Checklist in Screening First and Second Graders' Handwriting Legibility

, &
Pages 100-115 | Received 29 Jan 2007, Accepted 12 May 2008, Published online: 11 Oct 2008
 

Abstract

The purpose of this study was to determine appropriate screening tools for school-based therapists to use in assessing handwriting difficulties in children. Using the Minnesota Handwriting Assessment (MHA), this study examines the ranges of legibility of handwriting in typically-developing first and second grade students. Also, it evaluated whether the Handwriting Checklist that documents students' posture, tool use, grasp, and other components during the writing task accurately predicts legibility. Regression analyses found that the four Handwriting Checklist variables accounted for 23% of the variance in the legibility variable on the MHA test.

Acknowledgment

The authors thank all the children and teachers who participated in this study. We also acknowledge Sarah Folland, Erin Gregg, Christine Kozlik, Allyson Lipton, Patricia Morris, Donna Riggio, Adina Rogers, and Kadiya Romeo, who assisted in data collection. We also thank the New York City Department of Education, the Office of Related and Contractual Services: Ava Mopper, Director, and Amy Schrank, Occupational Therapy Supervisor, for making this study possible.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 168.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.