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 Exceptionality Effect Meta-Analysis
Posted by: Gilad Feldman
Title/Position: Assistant Professor
School/Organization: University of Hong Kong
Sent to listserv of: SESP
Date posted: April 9th, 2020

We are conducting a meta-analysis on the impact of past-behavior normality versus exceptionality on outcomes, such as negative affect (emotions such as regret), perceived ‎counterfactual thinking, blame, compensation, punishment, and related variables (e.g., hitchhiker-scenario in "norm theory" articles - Kahneman & ‎Miller 1986; Miller & McFarland, 1986).

The effect has also been referred to as the exceptional-routine ‎effect, exceptionality effect, normality bias, behavioral consistency, or intrapersonal norms. ‎

We have already completed an initial exhaustive search of the literature conducted an initial meta-analysis (see preprint: ) yet we would like to double check that we have not overlooked any findings. Especially given that it has been a while since our last search.

We would appreciate references to published articles or data on the topic, so that we can include that in the meta-analysis. ‎We are especially interested in any relevant unpublished manuscripts or data that ‎cannot be found using regular literature search. ‎

If you have unfinished or unpublished manuscripts, we would appreciate a copy.‎
Alternatively, for unpublished manuscripts and/or data, the information we require for inclusion is:‎

• A description of the manipulation and general description of the experimental conditions.‎
• For each of the experimental conditions: ‎
o Brief description of the condition
o Sample size
o Mean, and standard deviation for each of the dependent variables ‎
o Brief description of the measures/scales used for the dependent variables, and ‎internal reliabilities if available/relevant.‎
• Sample characteristics, such as: overall sample size, country, sample type (students, MTurk, ‎general population, etc.), mean age.‎
• Reference to be used when citing.‎

If you only have raw data that has not yet been analyzed, then we would be happy to help analyze it for ‎inclusion. In such a case, please send us the dataset and a description of the key variables described ‎above relevant for the analysis.‎

Please send all relevant information and/or data to:
Adrien Fillon: ‎
Gilad Feldman:

If you are interested in more information, we will be happy to answer any further questions. ‎
Additionally, you can follow updates and read further information on:

Best regards,‎
Gilad Feldman
University of Hong Kong
Twitter: @giladfeldman

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