Beyond the Null Ritual

Julian N. Marewski, Henrik Olsson
2009 Zeitschrift für Psychologie / Journal of Psychology  
Rituals shape many aspects of our lives, and they are no less common in scientific research than elsewhere. One that figures prominently in hypothesis testing is the null ritual, the pitting of hypotheses against chance. Although known to be problematic, this practice is still widely used. One way to resist the lure of the null ritual is to increase the precision of theories by casting them as formal models. These can be tested against each other, instead of against chance, which in turn
more » ... hich in turn enables a researcher to decide between competing theories based on quantitative measures. This article gives an overview of the advantages of modeling, describes research that is based on it, outlines the difficulties associated with model testing, and summarizes some of the solutions for dealing with these difficulties. Pointers to resources for teaching modeling in university classes are provided. 1 Sometimes mathematical models are contrasted with computer models. For instance, according to Fum, Del Missier, and Stocco (2007) mathematical models can be used to describe a phenomenon but they do not reproduce it, whereas computer models can produce observable behavior. Here, we do not distinguish between mathematical and computer models. Mathematical models can be implemented in computer code and sometimes computer models can be expressed in terms of mathematical equations. Similarly, sometimes one can derive a theory's predictions through both mathematical computation and computer simulation; however, for more complex theories one typically has to rely on computer simulations. But as Luce (1999) puts it: "Everyone agrees that when analysis is possible, it is far more satisfactory than numerical simulations" (p. 732).
doi:10.1027/0044-3409.217.1.49 fatcat:wec5jq6foje4hhygsntt5vkkim