Cognitive-Based Design Principles in Experimental Economics: How to Devise More Effective Instructions, Software, and Comprehension Tests

26 Pages Posted: 10 May 2017 Last revised: 31 May 2017

See all articles by Sascha Schweitzer

Sascha Schweitzer

Reutlingen University; University of Bayreuth

Date Written: May 8, 2017

Abstract

Economic laboratory experiments are often used for testing real-world economic mechanisms, such as multi-item auctions and multi-contract cost sharing. Ensuring that participants understand these increasingly complex tasks is crucial in order to maintain control, the reproducibility, and the internal validity of the experiments. Traditionally, experimental economists communicate tasks through written instructions. Learning from instructions by reading, understanding, and memorizing involves advanced cognitive processes. However, economists have as yet not fully integrated the findings of cognitive research into their instruction and experiment design. A large body of previous work has shown that cognitive-based designs substantially increase the effectiveness of learning. This paper seeks to leverage the findings of cognitive research for the design of economic laboratory experiments. In an interdisciplinary approach, it reviews and transfers results between the two fields. It discusses the practical limitations of traditional methods of experimental economics; provides an overview of the related cognitive research; and presents concrete guidelines for devising cognitive-based instructions, software, and comprehension tests for reproducible economic laboratory experiments.

Keywords: experimental economics methodology, cognitive-based design, testbed experiments

JEL Classification: B40, C90, D83

Suggested Citation

Schweitzer, Sascha, Cognitive-Based Design Principles in Experimental Economics: How to Devise More Effective Instructions, Software, and Comprehension Tests (May 8, 2017). Available at SSRN: https://ssrn.com/abstract=2965109 or http://dx.doi.org/10.2139/ssrn.2965109

Sascha Schweitzer (Contact Author)

Reutlingen University ( email )

Alteburgstr. 150
Reutlingen, 72762
Germany

University of Bayreuth ( email )

Universitatsstr 30
Bayreuth, D-95447
Germany

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