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Seriousness check

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The seriousness check is a technique that can be used in online research (also called Internet-based research, Web-based research, Web-based experiments) to significantly improve data quality. The technique has been shown to predict the dropout rate and control for motivational confounding.[1][2][3][4]. Nowadays, online studies are accessible to a large diversity of participants. However, many people just click through a questionnaire out of curiosity, rather than providing well thought out answers[4]. This poses a serious threat to the validity of online research[5][2][4]. The seriousness check addresses this problem: In this approach the respondents are asked about the seriousness of their participation or for a probability estimate that they will complete the entire study or experiment[1]. Thus, by using the seriousness check irrelevant data entries can be easily identified and be excluded from the data analysis.

Method

Illustration of the Seriousness Check

Seriousness checks can be implemented both before[2][3][4] and after[6] participation in the study. Reips[2][3][4] has argued to conduct seriousness checks in the first page of the experiment because this has been shown to be the best predictor of dropout rates and thus a measure of motivation. Also, the answer to the check question serves as self-commitment by the participant. Additionally, conducting a seriousness check prior to the completion of the study can reduce the dropout rates[7]. Figure 1 depicts a possible seriousness check proposed by Reips[4]. The participants are asked if whether or not they want to participate seriously in the experiment (“I would like to seriously participate now.” / ”I would like to look at the pages only.”). There are Web-based tools, e.g. WEXTOR[8] (http://wextor.eu), that implement the seriousness check by default.

Figure 1 illustrates the seriousness check[9]

Impact

Several studies have shown that a seriousness check at the beginning of a study is the best predictor of dropout rates and thus a measure of motivation.[2][3][4]. It was observed that of those answering “I would like to look at the pages only” around 75% will drop, while of those answering “I would like to seriously participate now” only ca. 10-15% will drop during the study. Overall, about 30-50% of visitors will fail the seriousness check, i.e. answer “I would like to look at the pages only”[4]

References


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  1. 1.0 1.1 Musch, J., & Klauer, K. C. (2002). Psychological experimenting on the World Wide Web: Investigating content effects in syllogistic reasoning. In B. Batinic, U.-D. Reips, & M. Bosnjak (Eds.), Online social sciences (pp. 181–212). Hogrefe & Huber Publishers.
  2. 2.0 2.1 2.2 2.3 2.4 Reips, U.-D. (2002a). Standards for internet-based experimenting. Experimental Psychology, 49(4), 243–256. https://doi.org/10.1026/1618-3169.49.4.243
  3. 3.0 3.1 3.2 3.3 Reips, U.-D. (2008). How Internet-mediated research changes science. In A. Barak (Ed.), Psychological aspects of cyberspace: Theory, research, applications (p. 268–294). Cambridge University Press. https://doi.org/10.1017/CBO9780511813740.013
  4. 4.0 4.1 4.2 4.3 4.4 4.5 4.6 4.7 Reips, U.-D. (2009). Internet experiments: Methods, guidelines, metadata. Human Vision and Electronic Imaging XIV, Proc. SPIE, 7240, 724008. https://doi.org/10.1117/12.823416
  5. Oppenheimer, D. M., Meyvis, T., & Davidenko, N. (2009). Instructional manipulation checks: Detecting satisficing to increase statistical power. Journal of Experimental Social Psychology, 45(4), 867–872. https://doi.org/10.1016/j.jesp.2009.03.009
  6. Aust, F., Diedenhofen, B., Ullrich, S., & Musch, J. (2013). Seriousness checks are useful to improve data validity in online research. Behavior Research Methods, 45(2), 527–535. https://doi.org/10.3758/s13428-012-0265-2
  7. Reips, U.-D. (2002b). Internet-based psychological experimenting: Five dos and five don’ts. Social Science Computer Review, 20(3), 241–249. https://doi.org/10.1177/089443930202000302
  8. Reips, U.-D.; Neuhaus, C. (2002). "WEXTOR: A web-based tool for generating and visualizing experimental designs and procedures" (PDF). Behavior Research Methods, Instruments, and Computers. 34(2): 234–240. doi:10.3758/BF03195449.
  9. Reips, U.-D., & Krantz, J. H. (2010). Conducting true experiments on the Web. In S. D. Gosling & J. A. Johnson (Eds.), Advanced methods for conducting online behavioral research (p. 193–216). American Psychological Association. https://doi.org/10.1037/12076-01