Self-report on the occurrence of insomnia and the habit of taking multivitamins against academic stress among students in the early period of COVID-19 pandemic

This study intends to determine the occurrence of insomnia and the habit of taking multivitamins against learning stress among students during the early stages of the Covid-19 pandemic. Data were obtained in two times from 308 students in East Jakarta, Indonesia, applying a descriptive quantitative approach through the Rasch Model and inferential statistics via the Bayesian Anova. The result showed that the use of multivitamins and the existence of insomnia have been proved to be linked to the incident of stress among students during the early periods of the pandemic. Although the use of multivitamins is helpful to minimize stress, students consuming this commodity are likely to experience by stress up to 40 times higher than those that experience in insomnia. This condition becomes higher assuming the students, in addition to having insomnia, are also not accustomed to receiving multivitamins. The implications of this study, including considerations for better investigation of this issue, have been discussed and concluded.

A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP

Analysis of variance (ANOVA) is the standard procedure for statistical inference in factorial designs. Typically, ANOVAs are executed using frequentist statistics, where p-values determine statistical significance in an all-or-none fashion. In recent years, the Bayesian approach to statistics is increasingly viewed as a legitimate alternative to the p-value. However, the broad adoption of Bayesian statistics –and Bayesian ANOVA in particular– is frustrated by the fact that Bayesian concepts are rarely taught in applied statistics courses. Consequently, practitioners may be unsure how to conduct a Bayesian ANOVA and interpret the results. Herewe provide a guide for executing and interpreting a Bayesian ANOVA with JASP, an open-source statistical software program with a graphical user interface. We explain the key concepts of the Bayesian ANOVA using twoempirical examples.