If the discrepancy between expectations and actual information is too large, expectation change decreases - A...

Area of Science:

• Cognitive psychology
• Belief updating mechanisms
• Mental health research

Background:

• Mental disorders are linked to difficulties updating negative beliefs with new positive information.
• Research has evolved from a binary view of information (confirming vs. disconfirming) to examining varying levels of positive information.
• Prior findings suggest highly positive information may be distrusted, limiting belief revision.

Purpose of the Study:

• To replicate findings on how different levels of positive information affect belief and expectation change.
• To investigate the inverse U-shaped relationship between information positivity and expectation change.
• To explore the cognitive mechanisms, like cognitive immunization, involved in belief updating.

Main Methods:

• A heterogeneous sample of 144 participants was used.
• Participants received information that was slightly, moderately, or extremely positive relative to their prior expectations.
• The study assessed changes in expectations based on the provided information.

Main Results:

• Expectation change was maximal with moderately positive information.
• Extremely positive information led to devaluation via defensive cognitive strategies (cognitive immunization).
• An inverse U-shaped relationship was observed between information positivity and the degree of expectation change.

Conclusions:

• Belief update models should consider a 'tipping point' where large discrepancies between expectation and outcome reduce expectation change.
• Extremely positive information may be less effective for belief revision due to cognitive defense mechanisms.
• The study questions the utility of the specific belief update task for researching depressive symptoms.