Social Psychology Network

Maintained by Scott Plous, Wesleyan University

Listserv Message Center

Forum Home Page

If you are a professional with a Ph.D. related to social psychology and wish to send an email message to the SPSSI or SESP listserv, click on the button below.

RSS Feed  Note: SPN also distributes any messages posted through this service to more than 209,000 of its own Twitter and RSS feed subscribers, thereby allowing users to reach a wider audience than the two listservs do.

 Search the Archive
Search postings from:

for the following word(s):

Search Archive


 Omission Bias/Effect Meta-Analysis
Posted by: Gilad Feldman
Title/Position: Assistant Professor
School/Organization: University of Hong Kong
Sent to listserv of: SESP
Date posted: June 11th, 2020

We are conducting a meta-analysis on omission bias/effect. This includes: (1) general preference for ‎omissions (inaction) over commissions (action), given the possibility of harm, and (2) differences in ‎moral judgments and attributions regarding omission vs commission in decisions involving possibility of ‎harm (e.g., Spranca, Minsk, & Baron, 1991).

We have already completed an initial exhaustive search of the literature conducted an initial meta-analysis back in 2017 (see thesis preprint: ) yet we would like to update our records and 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 ‎We are especially interested in any relevant unpublished manuscripts or data that ‎cannot be found using regular literature search.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If you have unfinished or unpublished manuscripts, we would appreciate a copy.‎

Alternatively, for unpublished manuscripts and/or data, the information we require for inclusion is:‎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:
Wilson (Siu Kit) Yeung: ‎
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

Return to Top

©1996-2021, S. Plous