More information

More information on the original Strack et al (1988) study and the replication study by Wagenmaker et al. (2016)

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May 30, 2021

The author

Josh is a computational biologist pursuing his PhD. at Harvard Medical School. There, he is co-advised by Professor Kevin Haigis and Professor Peter Park as he studies cancer genetics and evolution. Specifically, he is working to understand the tissue-specific behavior of KRAS mutations in cancers.

In his free time, Josh enjoys learning about programming and computer science - his current project is creating a MacOS app to summarize text using machine learning. Off the computer, his hobbies include running and caring for his plants.

You can see more of my blog posts (usually about coding in Python or R) and projects on my website: https://joshuacook.netlify.app.

The study

Below is a excerpt from Wagenmakers et al. (Wagenmakers et al. 2016) describing the original study by Strack, Martin, and Stepper titled “Inhibiting and Facilitating Conditions of the Human Smile: A Nonobtrusive Test of the Facial Feedback Hypothesis” (Strack, Martin, and Stepper 1988):

Could smiling make us happier? Does frowning make us sad? In their seminal article, Strack, Martin, and Stepper (1988; henceforth SMS) tested this facial feedback hypothesis: Are our affective responses guided, in part, by our own facial expressions? In two studies, they induced different groups of participants to produce a facial expression (i.e., smiling or pouting) usually associated with a particular emotional state (i.e., happiness or discontent). They then measured whether that induced facial expression changed judgments in ways consistent with the associated emotional states.

Specifically, Strack and colleagues had participants rate the funniness of cartoons using a pen that they held in their mouth, purportedly to investigate “people’s ability to perform different tasks with parts of their body not normally used for those tasks, as injured or handicapped persons often have to do. Participants were then asked to perform a variety of tasks by holding a pen with their lips only, with their teeth only, or with their nondominant hand” (Strack, Martin, and Stepper 1988). As depicted in Figure 1, holding the pen with one’s teeth induces a smile and holding it with one’s lips induces a pout. In SMS Study 1, participants rated the cartoons as funnier in the teeth condition (5.14) than in the lips condition (4.32) on a 10-point Likert scale ranging from 0 (not at all funny) to 9 (very funny). These results were taken to support the facial feedback hypothesis.

SMS has been cited 1,370 times (according to Google Scholar as of May 26, 2016) and is commonly discussed in introductory psychology courses and textbooks. Moreover, the facial feedback hypothesis is supported by a number of related studies (e.g., (Kraft and Pressman 2012) (Larsen, Kasimatis, and Frey 1992) (Soussignan 2002)). However, this seminal experiment has not been replicated directly using the same design and the same dependent variable. The enduring impact of SMS and the lack of direct replications together motivated this Registered Replication Report (RRR), in which 17 laboratories each conducted a direct replication study of Study 1 from SMS using a vetted protocol. By combining the results of these direct replications meta-analytically, we can provide a more precise estimate of the size of this important effect.

Demonstration of holding the pencil to force a smile (left) or frown (right) [@Wagenmakers2016-bj].

Figure 1: Demonstration of holding the pencil to force a smile (left) or frown (right) (Wagenmakers et al. 2016).

Tools

This analysis was completely done in R using the RStudio integrated development environment (R Core Team 2021).

‘rstanarm’

The ‘rstanarm’ package provided the Bayesian data analysis framework that I used for this analysis (Goodrich et al. 2020). It provides a simple “R formula syntax” interface to the Stan probabilistic programming language (“Stan Modeling Language Users Guide and Reference Manual” 2021).

‘distill’

The website was build using ‘rmarkdown’ and ‘distill’ (Allaire, Xie, et al. 2021)(Xie, Allaire, and Grolemund 2018)(Allaire, Iannone, et al. 2021).

Allaire, JJ, Rich Iannone, Alison Presmanes Hill, and Yihui Xie. 2021. Distill: ’R Markdown’ Format for Scientific and Technical Writing. https://CRAN.R-project.org/package=distill.
Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2021. Rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.
Goodrich, Ben, Jonah Gabry, Imad Ali, and Sam Brilleman. 2020. “Rstanarm: Bayesian Applied Regression Modeling via Stan.” https://mc-stan.org/rstanarm.
Kraft, Tara L., and Sarah D. Pressman. 2012. “Grin and Bear It.” Psychological Science 23 (11): 1372–78. https://doi.org/10.1177/0956797612445312.
Larsen, Randy J., Margaret Kasimatis, and Kurt Frey. 1992. “Facilitating the Furrowed Brow: An Unobtrusive Test of the Facial Feedback Hypothesis Applied to Unpleasant Affect.” Cognition and Emotion 6 (5): 321–38. https://doi.org/10.1080/02699939208409689.
R Core Team. 2021. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Soussignan, Robert. 2002. “Duchenne Smile, Emotional Experience, and Autonomic Reactivity: A Test of the Facial Feedback Hypothesis.” Emotion 2 (1): 52–74. https://doi.org/10.1037/1528-3542.2.1.52.
“Stan Modeling Language Users Guide and Reference Manual.” 2021. Stan Development Team. https://mc-stan.org.
Strack, F, L L Martin, and S Stepper. 1988. “Inhibiting and Facilitating Conditions of the Human Smile: A Nonobtrusive Test of the Facial Feedback Hypothesis.” J. Pers. Soc. Psychol. 54 (5): 768–77. https://doi.org/10.1037//0022-3514.54.5.768.
Wagenmakers, E-J, Titia Beek, Laura Dijkhoff, Alberto Acosta, Reginald B Adams Jr, Daniel N Albohn, Eric S Allard, et al. 2016. “Registered Replication Report: Strack, Martin, & Stepper (1988).” Perspect. Psychol. Sci. 11 (6): 917–28. https://doi.org/10.1177/1745691616674458.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.

References

Corrections

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Reuse

Text and figures are licensed under Creative Commons Attribution CC BY-SA 4.0. Source code is available at https://github.com/jhrcook/wagenmaker-data-analysis, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".