Presenting Findings From An Article

Presenting Findings from an Article 1. State one of the research questions that the authors researched data to answer. The authors were trying to discover the significant relationship between the application of social media and depression with the participation of the national sample (young adult). This study question. Allow us to determine whether using social media can affects our emotions that can turn into depression. Especially nowadays, those young individuals are mainly addicted to the application of social media. It is referring to all types of social media. Blink, and there is a new trend on something somewhere. It happens when people find validation in the number of likes they get. People are fearless behind the keyboard. 2. What are the variables that had to be measured on each subject to answer this research question? Were they categorical or continuous? For this study, the variables and categorical measurements are as follows: age (categorical), educational level (categorical), household income (Continuous), living situation (categorical), race/ethnicity (categorical), relationship status (categorical), and sex/gender (categorical), The grand total of 7 variables used in this study. Wanting to know what is so special about categorical variables and found this very interesting. Categorical variables take category or label values and place an individual into one of several groups. Categorical variables are often further classified as either:  Nominal, when there is no natural ordering among the categories. Common examples would be gender, eye color, or ethnicity. Ordinal, when there is a natural order among the categories, such as ranking scales or letter grades. However, ordinal variables are still categorical and do not provide precise measurements.  Differences are not precisely meaningful; for example, if one student scores an A and another a B on an assignment, we cannot say precisely the difference in their scores, only that an A is larger than a B (UFHealth, 2021). 3. What statistical methodology did the authors use to find the answer to this research question? Does it seem appropriate to you? Explain. The statistical method used for the study is the Bivariates and Covariates analysis. These two analyses appeared appropriate to the data since applying regression analysis to examine whether there was an overall linear pattern between each ordered categorical independent and dependent variables. To advantageous and take benefit of the nationally representative nature of results, all primary analyses performance using survey weights, which took into account sex/gender, age, race/ethnicity, education, household income, census region, metropolitan area, and Internet access, and the result were extensive and significant for each of the variables. 4. What were the results? Provide the actual statistical results and interpret them using your own words. Anything in social media was linked to young age, sex with women, and lower education levels with more time every day. Age has been the only major covariate correlated with weekly social media visits (P< 01.001), with the younger age being in the highest group of weekly site visits. The global frequency score was correlated substantially with age, living conditions, and household income. Increased depression has been noted by media-sites visiting a week (AOR = 2,74, 95% CI = 1,86-4,04), and worldwide frequency score (AOR = 3,05, 95% CI = 2,03–4,59). Sensitivity analysis revealed that all links between independent and depressive variables have high linear dose resolutions. 5. Provide any graph, figure, or table that displays these results and interpret it This graph shows that n (AOR = 1.66, 95% CI = 1.14–2.42). It is noteworthy that the findings have shown a stable linear pattern between independent and reliant variables even though the independent variable is continuously operational. Although our data is transverse, this association's directionality is not apparent. People with depression may be more likely to use social media. Deprived people with a decrease in self-worth, for example, may use social media-based reinforcement experiences. People can then suffer from constant rumors and faults around them. 6. Do you feel that this article fully answered the research question? Explain why or why not. Include a reference citation for your chosen article. The research examined depression and the use of social media accurately, nationally representative group of young adults across various social media channels. Given the growing prevalence of social media and the considerable morbidity and death associated with worldwide depression, the apparent correlation between social media applications to depression has significant consequences for potential study and action (Kross et al., 2013). So, more active users may feel more involved in social media experiences and have a more sense of social capital. However, active participants can also be more likely to experience harmful exposures that can influence self-recognition (Bessiere et al., 2010). Therefore, it could be useful to determine the active and passive nature of social media interactions and their impact on mood in the future. Furthermore, the emotional value of social media experiences overall should be assessed. Some people will spend time mainly "liking" the posts of others, with friends and family a happy anniversary, and respond positively.