1,121
Views
19
CrossRef citations to date
0
Altmetric
COMMENTARY

Studying the impact of intensity is important but complicated

, &
Pages 410-413 | Published online: 31 May 2012
 

Abstract

This commentary suggests that the most commonly studied aspect intensity (dose frequency) on overall rate of response to treatment may often be weak or conditional. To improve statistical power of tests of weak effects additive statistical models have typically been used. However, multiplicative models may be a more productive route to understanding dose frequency effects on children's speech and language development. To illustrate, recent findings are presented that dose frequency effects on vocabulary development varied by two child characteristics. Finally, it is suggested that spacing of teaching episodes within an intervention session be included as a variable in the multi-dimensional model of treatment intensity. Spacing teaching episodes may eventually prove to be one of the more powerful aspects of intensity.

Acknowledgements

This commentary is influenced by data and lessons learned from conducting a grant from the NIDCD, R01DC007660. Thanks go to our able project directors: Shelley Bredin-Oja, Elizabeth Gardner, Catherine Bush, and Nicole Thompson. The views of this commentary do not necessarily reflect the views of NIDCD.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

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 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 294.00 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.