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      Does It Pay to Play? Undermining Effects of Monetary Reward and Gamification in a Web-Based Task

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          Abstract

          The increasing use of self-paced computer and web-based platforms for e-learning and work has led to renewed interest in promoting intrinsic motivation. A classic finding in motivation literature is the undermining effect: Task interest is reduced when previously presented monetary rewards are eliminated. Efforts to prevent undermining effects on web-based tasks have focused on adding game-like features, such as points or leaderboards (i.e., “gamification”), to maintain task interest. On the other hand, some have raised the concern that these game elements could be a reward that undermines intrinsic motivation, such that task engagement is reduced when these game features are eliminated. We, therefore, conducted two preregistered studies of the undermining effects of pay and gamification in a web-based memory task. Results revealed a small undermining effect for task engagement and performance when previously presented incentives were removed from the task. Exploratory analyses suggested slightly different mechanisms behind each type of undermining effect. Finally, we observed large benefits for engagement and performance of performance-based monetary rewards, relative to adding game elements alone. Implications for explanations of the undermining effect and application to online work and learning contexts are discussed.

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being.

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              Power failure: why small sample size undermines the reliability of neuroscience.

              A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the average statistical power of studies in the neurosciences is very low. The consequences of this include overestimates of effect size and low reproducibility of results. There are also ethical dimensions to this problem, as unreliable research is inefficient and wasteful. Improving reproducibility in neuroscience is a key priority and requires attention to well-established but often ignored methodological principles.
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                Author and article information

                Journal
                Technology, Mind, and Behavior
                American Psychological Association
                2689-0208
                January 17, 2022
                : 3
                : 1
                Affiliations
                [1]Department of Psychology, University of Wyoming
                [2]Department of Psychology, Barry University
                [3]Department of Psychology, University of Pittsburgh
                [4]Department of Electrical Engineering, University of Wyoming
                [5]Department of Electrical Engineering and Computer Science, University of Cincinnati
                Author notes
                Action Editor: C. Shawn Green was the action editor for this article.
                Funding: This research was supported by the National Science Foundation under Grant No. 1717705 (Domen Novak, PI, Sean M. McCrea Co-PI).
                Disclosures: The authors declare that they have no conflict of interest.
                Ethical approval: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
                Informed consent: Potential participants were informed about the study’s aims and assured that participation would be voluntary and anonymous. Informed consent was obtained electronically and responses were identified only by a code. As participating in our study did not cause harm or discomfort that went beyond everyday experiences, this procedure was in line with the guidelines of the national Society of Psychology and our university’s ethics committee.
                Prior Data Use: There have been no prior uses of this data.
                Data Availability: Data, analytic methods, and study materials are publicly available to other researchers. https://data.mendeley.com/datasets/jnzyy6rc5g/draft?a=6f3a3a2d-09f2-4af3-b615-c8f9a3aff218
                Open Science Disclosures:

                The preregistered design and analysis plan is accessible at https://aspredicted.org/blind.php?x=k55qu8

                [*] Alexandra N. Bitter, Department of Psychology, University of Wyoming, 1000 E. University Avenue, Laramie, WY 82071, United States abitter@uwyo.edu
                Author information
                https://orcid.org/0000-0002-6105-4403
                https://orcid.org/0000-0002-8052-6234
                https://orcid.org/0000-0003-4241-5530
                https://orcid.org/0000-0001-9143-2682
                Article
                2022-17930-001
                10.1037/tmb0000056
                2badd5a2-fcde-4335-8f5f-8dc76f7a3a31
                © 2022 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). This license permits copying and redistributing the work in any medium or format for noncommercial use provided the original authors and source are credited and a link to the license is included in attribution. No derivative works are permitted under this license.

                History

                Education,Psychology,Vocational technology,Engineering,Clinical Psychology & Psychiatry
                undermining effect,intrinsic motivation,gamification

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