Using Online Experiments for Behaviourally Informed Consumer Policy

2020 ◽  
Author(s):  
Jeroen Nieboer
2017 ◽  
pp. 242-253 ◽  
Author(s):  
Lucia A. Reisch ◽  
John B. Thøgersen

2021 ◽  
pp. 014616722098273
Author(s):  
Alexander Garinther ◽  
Holly Arrow ◽  
Pooya Razavi

Studies of victim number effects in charitable giving consistently find that people care more and help more when presented with an appeal to help an individual compared with an appeal to help multiple people in need. Across three online experiments ( N = 1,348), Bayesian estimation revealed the opposite pattern when people responded to multiple appeals to help targets of different sizes (1, 2, 5, 7, and 12). In this joint evaluation context, participants donated more to larger groups, when appeals were presented in both ascending order (Study 1) and random order (Study 2). The pattern held whether or not participants saw an overview of all appeals at the start of the study and when a single individual was added to the array (Study 3). These results clarify how compassion fade findings typical of separate evaluations may not generalize to contexts in which people encounter multiple appeals within a short temporal window.


2000 ◽  
Vol 81 (2) ◽  
pp. 211-213 ◽  
Author(s):  
Robert L. Fischer

Those who work in the field of human services are bombarded with research of all types and levels of quality. The task of reviewing research for publication can lend a number of helpful concepts to those who are consumers of such research. This brief piece suggests a number of tactics for becoming a more effective consumer of research reports and, by extension, a better producer of human services research.


2018 ◽  
Vol 232 ◽  
pp. 01040
Author(s):  
Liu Yu

As the MOOC develops, many users have begun to gradually like and get used to programming learning on the MOOC platform, so virtual online experiments have become a hot spot in the online programming education industry, which is also known as online IDE or online programming environment. Compared with the traditional programming environment, the online programming environment does not require a complicated establishment of local environment, making it easy to be used. At the same time, the online programming environment can also be integrated into the MOOC for learning, and can also be combined with OJ for evaluation. However, the existing online programming environment usually only supports few programming languages, such as C language and Java language. Even some online platforms only have the online compiling function with one language. Based on the above phenomena, this paper will propose a general online programming solution. And based on the idea, a platform that supports multi-language online compiling function is built through simple code writing and the construction of server environment.


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