Related Experiment Video
Updated: Jan 31, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
Learned biases in the processing of outcomes: A brief review of the outcome predictability effect
Oren Griffiths1, Evan Livesey2, Anna Thorwart3
1College of Education, Psychology and Social Work, Flinders University.
Abstract:
Much empirical work and theoretical discussion in the associative learning literature has focused on when and how a cue changes in its associability. A series of new findings in human learning preparations (collectively referred to as the "outcome predictability" effect) appear to show that outcomes vary in their capacity to enter into novel associations as a product of their associative history. This effect is reminiscent of how cues change in associability as a consequence of their reinforcement history. We review the new findings within a broader associative literature that has previously investigated how conditioning can modify the effectiveness of outcome events to motivate new learning. A variety of explanations arising from this review are then critically considered. The article concludes by identifying novel questions brought into focus by the outcome predictability effect. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Related Concept Videos
Predicting Reaction Outcomes
Hindsight Biases
Outcomes of Glycolysis
Cellular respiration can occur aerobically (with oxygen) or anaerobically (without oxygen). In the presence of oxygen, cellular respiration starts with glycolysis and continues with pyruvate...
Guidelines for Writing Outcome
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
Confirmation Biases
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...

