{{ (moduleVm.actions && moduleVm.changeStatus) ? moduleVm.status : '' }} Minimizing Variability in Language Sampling Analysis: A Practical Way to Calculate Text Length and Time Variability and Measure Reliable Change When Assessing Clients

Activity Steps


Note: ASHA CEUs cannot be reported to ASHA unless your ASHA member number is included in your profile.

Language sampling is a useful tool both in research and clinical practice. Using it enables clinicians to gain insight into everyday communication abilities. The author outlines current applications of language sampling analysis, focusing on sample length and time-based variability. They propose a method for studying and accounting for variability in language sampling analysis. Using this method, clinicians and researcher will be able to estimate how large a sample is required to minimize some sources of variability and increase the reliability of the measures being used.


This course is offered for 0.10 ASHA CEUs
(Intermediate Level, Professional Area).

Purpose of Activity

To gain knowledge about variability in language sample analysis (LSA) and how Reliable Change Index (RCI) can help analyze language samples to measure reliable change in client performance.

Learning Objectives

After completing this continuing education activity you will be able to:

  1. Describe variability in language sample analysis (LSA).
  2. Identify a method to understand the effects of variability in determining reliable change over time.
  3. Explain how to use Reliable Change Index (RCI) to make therapeutic decisions.
Price: $15.00


  • ASHA 0.1 CEU

Lippincott Williams & Wilkins is approved by the Continuing Education Board of the American Speech-Language-Hearing Association (ASHA) to provide continuing education activities in speech-language pathology and audiology. ASHA CE Provider approval does not imply endorsement of course content, specific products or clinical procedures.

This course is offered for 0.10 ASHA CEUs (Intermediate Levels, Professional Area).

Test Code: TLD2201
Published: Apr/Jun 2020
Expires: 12/31/2022
Required Passing Score: 4/5 (80%)
Authors: Elizabeth Spencer; Lucy Bryant; Kim Colyvas
Specialties: Language, Speech