The improvement rate difference for single-case research.(Report): An article from: Exceptional Children
Book Details
PublisherCouncil for Exceptional Children
ISBN / ASINB001RGJP4I
ISBN-13978B001RGJP49
AvailabilityAvailable for download now
Sales Rank12,269,274
MarketplaceUnited States 🇺🇸
Description
This digital document is an article from Exceptional Children, published by Council for Exceptional Children on January 1, 2009. The length of the article is 9507 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: This article describes and field-tests the improvement rate difference (IRD), a new effect size for summarizing single-case research data. Termed "risk difference" in medical research, IRD expresses the difference in successful performance between baseline and intervention phases. IRD can be calculated from visual analysis of nonoverlapping data, and is easily explained to most educators. IRD entails few data assumptions and has confidence intervals. The article applies IRD to 166 published data series, correlates results with three other effect sizes: [R.sup.2] Kruskal-Wallis W, and percent of nonoverlapping data (PND), and reports interrater reliability of the IRD hand scoring. The major finding is that IRD is a promising effect size for single-case research.
Citation Details
Title: The improvement rate difference for single-case research.(Report)
Author: Richard I. Parker
Publication:Exceptional Children (Magazine/Journal)
Date: January 1, 2009
Publisher: Council for Exceptional Children
Volume: 75 Issue: 2 Page: 135(16)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
From the author: This article describes and field-tests the improvement rate difference (IRD), a new effect size for summarizing single-case research data. Termed "risk difference" in medical research, IRD expresses the difference in successful performance between baseline and intervention phases. IRD can be calculated from visual analysis of nonoverlapping data, and is easily explained to most educators. IRD entails few data assumptions and has confidence intervals. The article applies IRD to 166 published data series, correlates results with three other effect sizes: [R.sup.2] Kruskal-Wallis W, and percent of nonoverlapping data (PND), and reports interrater reliability of the IRD hand scoring. The major finding is that IRD is a promising effect size for single-case research.
Citation Details
Title: The improvement rate difference for single-case research.(Report)
Author: Richard I. Parker
Publication:Exceptional Children (Magazine/Journal)
Date: January 1, 2009
Publisher: Council for Exceptional Children
Volume: 75 Issue: 2 Page: 135(16)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
