I would start off with a bivariate analysis and then test it as a multivariate analysis. In this research, I expect to see that media directly effects bullying and bullying directly effects body modifications. The media sets societal beauty norms that people internalize and appearance bully a person based on the societal beauty norm. That bullying can lead to a body modification because that person will want to fit into society. The control variable would be the media. This is what I expect to see in a multivariate analysis. After getting the statistical significance, from the chi square test it will be important to identify the p-value. The p-value will tell us if we can reject or fail to reject the null hypothesis. If the p-value is less than or equal to 0.05, this means that we are 95% confident that our data supports the research and that there is a correlation between the variables. We can reject the null hypothesis. The larger the chi square value the lower the p-value. This is what is desired as a
I would start off with a bivariate analysis and then test it as a multivariate analysis. In this research, I expect to see that media directly effects bullying and bullying directly effects body modifications. The media sets societal beauty norms that people internalize and appearance bully a person based on the societal beauty norm. That bullying can lead to a body modification because that person will want to fit into society. The control variable would be the media. This is what I expect to see in a multivariate analysis. After getting the statistical significance, from the chi square test it will be important to identify the p-value. The p-value will tell us if we can reject or fail to reject the null hypothesis. If the p-value is less than or equal to 0.05, this means that we are 95% confident that our data supports the research and that there is a correlation between the variables. We can reject the null hypothesis. The larger the chi square value the lower the p-value. This is what is desired as a