Affiliation:
1. School of Nursing at the University of San Francisco
2. Department of Computer Science at the University of Texas at Austin
3. School of Nursing and Center for Health Care Research and Evaluation at the University of Texas at Austin
Abstract
Think Aloud (TA) studies provide rich verbal data about reasoning during a problem solving task. Using TA and protocol analysis, investigators can identify the information that is concentrated on during problem solving and how that information is used to facilitate problem resolution. From this, inferences can be made about the reasoning processes that were used during the problem-solving task. In the past, the validity of data obtained from TA studies has been suspect because of inconsistencies in data collection and the inability to verify findings obtained from the slow, laborious process of protocol analysis. This article describes a means of obtaining more accurate verbal data and analyzing it in a standardized step-by-step manner.
Subject
Public Health, Environmental and Occupational Health
Cited by
400 articles.
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