Understanding the Psychology of Guilt – Anticipated Guilt and Going Against One's Self-interest – Chapter 4

DOI

To lend money to someone and to later ask this same person to pay the money back should be relatively unproblematic in modern, monetized societies. Still, some people find it difficult to ask for lent money to be paid back, even though it is in their own interest that this happens and they have the legitimate right to ask their money back. In this article, we examine one reason why people might experience such difficulties: the anticipation of guilt. In Study 4.1, the majority of participants from 3 different countries indicated that they sometimes did not ask money back because doing so would make them feel guilty. Study 4.2 found that the more people anticipated guilt about asking their money back, the less willing they were to do this. Study 4.3 found that the effect of guilt became less strong when more money was at stake. Study 4.4 found that people anticipated more guilt and were less likely to ask money back when the other person was poor compared to rich. Studies 4.5 and 4.6 found that the amount of harm people anticipated by asking the money back mediated the effect. Taken together, we interpret these studies (Ntotal = 2988) to showcase the social nature of guilt, in that it can motivate people to sacrifice their (financial) self-interest in order to protect relationships with others.

Additional documentation and metadata can be found in the files Data Report Chapter 4.pdf, Documentation of all author responsibilities.pdf, Documentation of Data Exclusions.pdf, and the metadata files in the rawdata folders.

This research has preregistered all materials, hypothesis and sample size through: https://aspredicted.org/blind.php?x=2qa52h (for Study 3); https://aspredicted.org/blind.php?x=fs3qj9 (For Study 4); https://aspredicted.org/blind.php?x=7867r4 (For Study 5); https://aspredicted.org/blind.php?x=ni3y2a (For Study 6).

The present data package includes Raw data files (Raw data+ metadata information+ Final Data, both in EXCEL), Syntax file (SPSS) and Materials (questionnaires in pdf from MTurk). The packages are primarily organized based on the raw data, SPSS (or R) code, and materials(questionnaires).

Identifier
DOI https://doi.org/10.34894/FRGWKT
Related Identifier https://doi.org/10.1037/emo0001032
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/FRGWKT
Provenance
Creator Zhang, Xiaolu ORCID logo
Publisher DataverseNL
Contributor Zhang, Xiaolu; DataverseNL
Publication Year 2021
Rights CC0 Waiver; info:eu-repo/semantics/openAccess; https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact Zhang, Xiaolu (Tilburg University, Tilburg School of Social and Behavioral Sciences, Department of Social Psychology)
Representation
Resource Type Miscellaneous data; Dataset
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Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences