scholarly journals Altruism and Egoism/Warm Glow in Economics and Psychology: Building a Bridge Between Different Experimental Approaches

Author(s):  
Mark Ottoni-Wilhelm

The same dual–motive theory that combines altruism and egoism/warm glow is used in economics to study charitable giving and in psychology to study helping behavior. However, the two disciplines have taken different approaches to experimental testing. This paper builds a bridge between the different experimental approaches. For economists, the importance of this bridge is that it leads to a systematic description of six specific types of egoism/warm glow, and further suggests experimental designs that could be used to investigate warm glow motives in charitable giving. For psychologists, the bridge is important because the experimental design in economics suggests a way to test, directly rather than indirectly, the empathy–altruism hypothesis.

2018 ◽  
Vol 31 (1) ◽  
pp. 98-126
Author(s):  
Robert Neumann

This article investigates the decision of consumers at bottle refund machines to either reclaim their bottle deposit or to donate the refund to a non-profit organization. The study documents the unique pre-intervention data on donating behaviour and introduces a field experiment to increase donation levels. The design comprised the strategic framing of the situation by highlighting different cues about the normative, descriptive and local expectations of charitable giving as well as cues about the warm glow of donating money. The experiment took place in 20 supermarkets in Germany and lasted for 12 months. By varying the experimental design and using different modelling approaches, the study arrives at the conclusion that individuals largely act consistent with the assumption having self-regarding preferences that are stable and difficult to change. Hence, our pre-test and post-intervention data stand in sharp contrast to results from lab experiments.


2012 ◽  
Vol 3 (1) ◽  
pp. 52
Author(s):  
Donald T. Campbell ◽  
Beatrice J. Krauss

This paper provides a speculative discussion on what quasi-experimental designs might be useful in various aspects of HIV/AIDS research. The first author’s expertise is in research design, not HIV, while the second author has been active in HIV prevention research. It is hoped that it may help the HIV/AIDS research community in discovering and inventing an expanded range of possibilities for valid causal inference. DOI:10.2458/azu_jmmss_v3i1_campbell


1965 ◽  
Vol 20 (1) ◽  
pp. 121-122
Author(s):  
Edward A. Bilodeau

A tiny experiment was reported by Dyal (1964) with results apparently contradicting the bulk of an extensive literature he failed to cite. The literature contains far better experimental designs, resources, and discussion of the issues.


2018 ◽  
Author(s):  
Andrew M Rivers ◽  
Jeff Sherman

Failures to replicate high-profile priming effects have raised questions about the reliability of priming phenomena. Studies at the discussion’s center, labeled “social priming,” have been interpreted as a specific indictment of priming that is social in nature. However, “social priming” differs from other priming effects in multiple ways. The present research examines one important difference: whether effects have been demonstrated with within- or between-subjects experimental designs. To examine the significance of this feature, we assess the reliability of four well-known priming effects from the cognitive and social psychological literatures using both between- and within-subjects designs and analyses. All four priming effects are reliable when tested using a within-subjects approach. In contrast, only one priming effect reaches that statistical threshold when using a between-subjects approach. This demonstration serves as a salient illustration of the underappreciated importance of experimental design for statistical power, generally, and for the reliability of priming effects, specifically.


In this chapter, students will learn the process of designing experiments. The classic experimental design is presented first. Following this, three distinct quasi-experimental designs are presented. The benefits and burdens of the classic and quasi-experimental designs are discussed in depth. By the end of this chapter, students will understand concepts related to random selection, generalizability, treatment and control groups, pre- and post-test measurement of the dependent variable, and internal validity.


PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0215844 ◽  
Author(s):  
Stephan Müller ◽  
Holger A. Rau
Keyword(s):  

1994 ◽  
Vol 31 (4) ◽  
pp. 545-557 ◽  
Author(s):  
Warren F. Kuhfeld ◽  
Randall D. Tobias ◽  
Mark Garratt

The authors suggest the use of D-efficient experimental designs for conjoint and discrete-choice studies, discussing orthogonal arrays, nonorthogonal designs, relative efficiency, and nonorthogonal design algorithms. They construct designs for a choice study with asymmetry and interactions and for a conjoint study with blocks and aggregate interactions.


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