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The Experimental Method as an Evaluation Tool in Serious Games Research and Development

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9970))

Abstract

This chapter aims to provide the reader with basic knowledge about the experiment as a general method that can be applied towards serious games research and evaluation. It explains the main terms and rules of the experimental design, as well as points out the main risks and difficulties to avoid. The chapter also explains the differences in possible conclusions between true experiments, quasi-experiments, and correlational studies.

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Correspondence to Nataliya V. Bogacheva .

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Further Reading

Further Reading

For more experiments on serious games, see:

  • Van der Spek, E.D.: Experiments in Serious Game Design: a Cognitive Approach. Utrecht University Repository (Dissertation). Utrecht University, Utrecht (2011)

For deeper knowledge about experimental and other research types in social sciences and psychology, as well as for common statistical procedures see:

  • Kantowitz, B.H., Roediger, H.L.III, Elmes, D.G.: Experimental Psychology. Wadsworth, Belmont (2009)

  • Martin D.W.: Doing Psychology Experiments. Thompson Higher Education, Belmont (2008)

  • Goodwin C.J. Research in Psychology: Methods and Design. Wiley, Danvers (2010)

To learn about online experiments’ possibility, see:

  • Reips, U.-D.: Standards for Internet-based Experimenting. In: Experimental Psychology. 49(9), 243–256 (2002)

  • Reips, U.-D., Krantz, J.H.: Conducting True Experiments on the Web. In: Gosling, S., Johnson, J. (eds.) Advanced Methods for Conducting Online Behavioral Research, pp. 193–216. American Psychological Association, Washington DC (2010)

For basic knowledge about latent variables (variables, which can only be discovered through statistical procedures, very common in psychology and social sciences) see:

  • Bollen, K.A.: Latent Variables in Psychology and the Social Sciences. In: Annu. Rev. Psychol. 53, 605–634 (2002)

For advanced knowledge in statistical methods (multivariate analysis of variance, multiple regression, etc.), see:

  • Foster J., Barkus, E., Yavorsky, C.: Understanding and Using Advanced Statistics: A Practical Guide for Students. SAGE Puclications, London, Thousand Oaks, New Delhi (2006)

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Bogacheva, N.V. (2016). The Experimental Method as an Evaluation Tool in Serious Games Research and Development. In: Dörner, R., Göbel, S., Kickmeier-Rust, M., Masuch, M., Zweig, K. (eds) Entertainment Computing and Serious Games. Lecture Notes in Computer Science(), vol 9970. Springer, Cham. https://doi.org/10.1007/978-3-319-46152-6_12

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