It’s so difficult to raise your tea? Ultra-large research reveals the best way to encourage fitness
A large-scale study (large-scale live experiment) conducted by more than 60,000 members of the United States chain gym showed that some digitized projects increased by 9% -27%.
This human behavior study recently published in the UK "Nature" magazine, and the article reports how the experimental design of the super-large study is how to strictly test 54 behavioral interventions in the population. More and more policy makers have begun to find ways to improve public decision and results from behavioral science.
In order to comprehensively assess the effects of various behavioral interventions, these interventions must be conducted on-site testing and compared with other interventions. 爱上海同城419论坛 Individual intervention usually tests in an independent group, but this test method is not convenient to carry out similar comparisons.
Researchers are difficult to determine different results, which are different from research groups or differences from different interventions. To solve these problems, the University of Pennsylvania, the University of Pennsylvania introduced the concept of super-large research, and proposed different interventions to the same population.
30 researchers from 15 universities in the United States formed a number of small independent teams designed 54 four-week different digital projects to encourage 6,1293 members of a chain gym in the United States to exercise on time. These interventions include digital experience, text reminder, weekly email and reward measures.
上海魔都夜生活 The researchers found that 45% of interventions can significantly improve people within the four weeks (increased by 9% -27%). The best intervention is to provide a small amount of cash reward for people returning to the gym after people missed a workout.
This super large research model allows researchers to compare between dozens of different interventions, because all of these interventions are designed by an independent research team. The researchers believe that this model can accelerate new insights to human behavior and ensure the relevance of these insights and public policies. (Responsible Editor: Solution) China Network Technology reprinted this article to pass more information, does not represent this website viewpoint and position. Article content is for reference only and does not constitute investment advice.
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