Final Proposal

Martha Ramsey

Saint Leo University

Research Method: PSY 535

Instructor Andrea Goldstein

November 21, 2022

Results and Discussion

The section on the results aims to provide a narrative of the results without attempting to analyze or evaluate them. It also serves as a guide for the discussion section of the research proposal. Both the results and the interpretation are stated (Graham, 2018). The researcher will describe the actions taken with the information found in this section. A clear understanding of the analysis's components is required to write the paragraph on the study, but this does not imply that the analysis's data must be present. It is necessary to have finished the research before writing the findings section.

The results chapter of the proposal will be the most crucial section because it will show the reader the outcomes of the quantitative data. A straightforward narrative will present the gathered data, along with tables, graphs, and charts (Graham, 2018). Doing this will also highlight any potential issues that might have been noticed generally, such as anomalies or strange discoveries.

In the chapter devoted to the results, a plot will be included to show how survey and questionnaire respondents responded and how many respondents fell into each group. A p-value from a statistical test will be used to determine whether or not such evidence supports a hypothesis when presented (Kiger & Varpio, 2020). After the analysis, there would be a sizable amount of data that was not necessary for the findings but was still present. There will probably be a ton of SPSS data, and the study will determine which data elements are most crucial. The researcher will sift through unimportant information and focus on the essential data (Kiger & Varpio, 2020). Due to this, it is unlikely that the time spent performing those analyses will be wasted; instead, doing so will ensure that the researcher understands the dataset and how to interpret it.

Making sure that the results are consistent with and reflective of the research's objective will continue to be of utmost importance. Therefore, to assess whether the subject is still pertinent, the researcher will review the study goals, objectives, and research questions (Kiger & Varpio, 2020). A statistical method called correlation analysis will be used to measure the strength of the linear relationship between the social media-related variables and mental health and to calculate the link between them. Another way to put it is that correlation analysis will show how much a change in one variable affects a difference in the other (Kiger & Varpio, 2020). While a low correlation would suggest that there is only a weak association between the two variables, a high correlation would indicate a strong link between the two variables.

One of the statistical concepts that will have the strongest correlation to the type of study being conducted is the correlation coefficient. The correlation coefficient will take into account the unit of measurement used to evaluate the strength of the linear relationship between the social media and mental health variables involved in a correlation study (Kiger & Varpio, 2020). It will be easy to identify a value like this because the symbol r will represent it, and in most cases, it will be a value without any units located between -1 and 1.

References