FoMO. We used two different approaches to examine FoMO’s predictive value with regards to maladaptive behavior class membership. The first approach utilized the mean FoMO aggregated across all 10 items as the predictor variable. The second approach used each individual question’s score instead of the mean as the predictor variables. At the end of the day, you might miss out on some short-term sales (because you’ll give the product away for free). But your case studies are sure to yield longer-term results for more sustainable growth. 7) Run Viral Contests (& Show Participant Counts) While autonomy does relate to improved academic performance [ 15], students not performing well could be at risk for anxiety and depression [ 16, 17]. For higher FoMO students, anxiety could foster social comparisons that increase pressure to improve academic performance, perhaps via any necessary means. Per the Conservation of Resources (COR) [ 18] and Social Comparison Theories [ 19], college student depression and anxiety might be further exacerbated to the degree they socially compare their self to others they perceive as receiving greater resources, given that academic performance (i.e., grades) might be considered a career resource. Previous research indicates that aversive social comparisons and perceived resource loss can lead to unethical behaviors, including cheating [ 20]. Thus, underperforming students might be more likely to engage in cheating or other academic misconduct to increase their career resources and status when socially comparing themselves to others because underperformance could suggest a threat to competence need fulfillment as SDT suggests. Research already notes that college students with higher FoMO levels are more likely to use Facebook during classroom lectures (a form of academic incivility) [ 1]. It has also been found that males generally report higher levels of academic misconduct compared to females [ 21]. Thus:

Information is essential in our society and for organizations. But the flood of information affects enterprises as well as individuals also in a negative way. [4] It’s very convincing because we are social creatures and the thought that we would be pushed away from our own social circle because we missed one event is terrifying. [2] 2. Losing Out On Money Don’t have any real customers yet? That’s no problem. But it means you’ll likely need to let a handful of people try your product or services for free. RafflePress is the best WordPress giveaway plugin around. It’s the best solution for creating viral online contests that boost engagement through FOMO marketing.Among the approaches considered, those that combined dimensionality reduction with a machine learning method, namely PCA and RFE combined with random forest, produced the highest accuracy for 3 out of 4 measures of interest in the case of using aggregate FoMO measure (FoMO mean) as an input variable. These are Academic Misconduct, Illegal Behavior, and Drugs with accuracy scores of 0.87, 0.75, and 0.78, respectively (See Table 3). For Alcohol, random forest produced the best result among all approaches considered, with an accuracy of 0.73. For both RFE and PCA we used 2 as the number of dimensions, down from 4. When considering the individual FoMO measures as input variables, the highest accuracy values resulted from the same models as in the aggregate case. Further, these accuracy values are comparable to the aggregate case for all outcome measures. For the models that included RFE and PCA, we reduced the number of variables to 4 from the original 13. When comparing the results from the models that included individual FoMO variables to those that used the aggregate FoMO measure instead, we can conclude that the former does not carry an advantage in terms of predictive power. This lends support to the notion that the aggregate FoMO measure is a robust indicator of trait FoMO levels. Allen KA, Gray D, Baumeister R, et al. The Need to Belong: a Deep Dive into the Origins, Implications, and Future of a Foundational Construct. Educational Psychology Review. 2022;34(2):1133-1156. Hastie T, Tibshirani R, Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. New York: Springer; 2011.

a b c d e f g Bhatt, Shephali. "NEMO: The new idea for those striving to find a middle path between FOMO and JOMO". The Economic Times . Retrieved 2021-11-04.Decision tree for drug offense/use classification based on the FoMO aggregate scenario. Starting at the root node, an example is evaluated in a sequential manner down the tree based on the conditions in the decision nodes. A classification is made according to the end node reached (blue denotes a positive prediction and light orange a negative prediction).