Reducing Biases in Clinical Judgment with Single-Subject Treatment Design | 1 BCBA CEU
$9.99
BCBA CEUs: 1 CEU
Read the following article and pass a 12-question quiz on it:
Moran, D. J., & Tai, W. (2001). Reducing biases in clinical judgment with single-subject treatment design. The Behavior Analyst Today, 2(3), 196-203.
Description
To earn credit, you will be required to read the article and pass a 12-question quiz about it. You can retake the quiz as many times as needed, but you will not receive exactly the same questions each time.
Abstract
Psychological literature exposes a number of biases that can influence one’s judgment (e.g., pathology bias, confirmatory bias, hindsight bias, misestimation of covariance, decision heuristics, false consensus effect, and over-confidence in clinical judgment). Clinical judgment, the subjective method of arranging client data to establish a diagnosis and a treatment plan, can also be biased and may lead to inaccurate assessment and inefficient treatment. Taking repeated measures of symptoms, similar to the single subjects research design used in the behavioral sciences, may lead to better therapy because it reduces judgment bias.
Additional information
| Format | Article Quiz |
|---|---|
| Type of CEU | General |
| Total CEUs | 1 |
| Reading Time | 38 minutes |
| Publication Date | February 10, 2013 |
|---|---|
| Last Updated | December 8, 2025 |
Questions & Answers
You may also like…
-
Multimedia Tutorial
An Introduction to Relational Frame Theory (RFT) | 7 BCBA CEUs
(519)$69.99 Add to Cart -
Multimedia Tutorial
Mastering the Basics of Visual Analysis | 2 BCBA CEUs
(139)$19.99 Add to Cart -
Article Quiz
A Case Study in the Misrepresentation of Applied Behavior Analysis in Autism: The Gernsbacher Lectures | 3.5 Ethics BCBA CEUs
(65)$34.99 Add to Cart
13 reviews for Reducing Biases in Clinical Judgment with Single-Subject Treatment Design | 1 BCBA CEU
Customers generally praise the article as well-written, informative, and highly relevant for clinicians, offering important insights and realistic examples for reducing biases. Many recommend it for its practical value. A specific concern was noted regarding the quiz scoring system, which some found unfair.
Customer reviews