Decisions to give to charities are affected by numerous external and internal factors. Understanding the elements influencing donation decisions is of first-order importance for science and society. On the scientific side, understanding the determinants of charity-giving contributes to the knowledge of altruistic behaviors in the presence of collective problems such as poverty, climate change, or animal welfare. On the social side, pointing out which factors affect donations can help increase prosocial behaviors and might facilitate collective actions in the case of public goods.  

Previous work has identified multiple mechanisms affecting altruistic donations to charities (Bekkers and Wiepking, 2011). Importantly, Baron and Szymanska (2011) collected empirical evidence suggesting that people prefer (i) their donations to be directly used for projects rather than organizational costs, (ii) when charities have low past costs, (iii) to diversity their donations into several NGOs, (iv) to favor charities that deal with close peers like nationals, and (v) to give voluntarily rather than through taxes. 

Here, Chan and Feldman (2024) conducted a close replication of Studies 1 to 4 of Baron and Szymanska (2011) using a large sample of online participants (four studies, overall N=1,403). In their replication, the authors found supporting evidence for the phenomena reported in the original study. In particular, people were more likely to donate to charities with lower organizational and lower past costs, to diversify their donations, and to show ingroup/nationalist preferences with larger donations to NGOs helping local over foreign children. Chan and Feldman (2024) ran additional analyses that indicated validity concerns regarding the analysis and questions that resulted in finding a preference for voluntary donations over taxation. In their added extensions that went beyond the original study, they also found that donors preferred to donate to charities whose overhead costs are paid for by other donors and unexpected evidence that making donations anonymous increased rather than decreased contributions.

The Stage 2 manuscript was evaluated over one round of in-depth review by the recommender and two expert reviewers. Following revision, the recommender judged that the manuscript met the Stage 2 criteria and awarded a positive recommendation.

 

URL to the preregistered Stage 1 protocol: https://osf.io/gmswz
 
Level of bias control achieved: Level 6. No part of the data or evidence that was used to answer the research question was generated until after IPA.
 
List of eligible PCI RR-friendly journals:

 

 

 

1. Baron, J. and Szymanska, E. (2011). Heuristics and Biases in Charity. In D. M. Oppenheimer and C. Y. Olivola (Eds.), The Science of Giving: Experimental Approaches to the Study of Charity (pp. 215–235). Psychology Press. https://doi.org/10.4324/9780203865972

 

2. Bekkers, R. and Wiepking, P. (2011). A Literature Review of Empirical Studies of Philanthropy. Nonprofit and Voluntary Sector Quarterly, 40, 924–973. https://doi.org/10.1177/0899764010380927

 

3. Chan, M. and Feldman, G. (2024). Factors impacting effective altruism: Revisiting heuristics and biases in charity in a replication and extensions Registered Report of Baron and Szymanska (2011) [Stage 2]. Acceptance of Version 5 by Peer Community in Registered Reports. https://osf.io/4etkp

Decisions to give to charities are affected by numerous external and internal factors. Understanding the elements that influence donation decisions is of first-order importance for science and society. On the scientific side, understanding the determinants of charity giving contributes to the knowledge of altruistic behaviors in the presence of collective problems such as poverty, climate change, or animal welfare. On the social side, pointing out which factors affect donations can help increase pro-social behaviors and might facilitate collective actions in the case of public goods. 

 

Previous work identified multiple mechanisms affecting altruistic donations to charities (Bekkers and Weeping, 2011). Importantly, Baron and Szymanska (2011) collected empirical evidence suggesting that people prefer (i) their donations to be directly used for projects rather than organizational costs, (ii) when charities have low past costs, (iii) to diversity their donations into several NGOs, (iv) to favor charities that deal with close peers like nationals, and (v) to give voluntarily rather than through taxes. 

 

In the current study, Chan and Feldman seek to replicate the results of Baron and Szymanska (2011). They propose a close replication of the original study using a large sample of online participants (1,400 participants). In addition to the five mechanisms identified by the original study, they will further explore whether public donation increases contributions and whether individuals are more likely to donate when the charities’ overhead costs are paid for by other donors. 

 

The Stage 1 manuscript was evaluated over two rounds of in-depth review. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).

 

URL to the preregistered Stage 1 protocol: https://osf.io/gmswz
 
Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA.
 
List of eligible PCI RR-friendly journals:

 

 

 

1. Baron, J. & Szymanska, E. (2011). Heuristics and Biases in Charity. In D. M. Oppenheimer & C. Y. Olivola (Eds.), The Science of Giving: Experimental Approaches to the Study of Charity (pp. 215–235). Psychology Press. 

 

2. Bekkers, R. & Wiepking, P. (2011). A Literature Review of Empirical Studies of Philanthropy. Nonprofit and Voluntary Sector Quarterly, 40, 924–973.

 

3. Chan, M. & Feldman, G. (2023). Factors impacting effective altruism: Revisiting heuristics and biases in charity in a replication and extensions Registered Report of Baron and Szymanska (2011), in principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/gmswz