I believe that the statistical test which would be the most appropriate for my chosen variables is the multiple regression. This analysis is a statistical technique utilized to examine the relationship between multiple independent variables and a single dependent variable. The aim is to understand how the independent variables collectively predict or influence the dependent variable. My mock study consists of two independent variables and one dependent variable. The two independent variables are "age of respondents" and "access to stress management", while the dependent variable is "How often does r find work stressful". According to Frankfort-Nachmias and Leon-Guerrero (2021), multiple regression estimates how several independent variables affect one dependent variable. From my personal experience conducting research in the past, a multiple regression approach provides researchers with a higher predictive accuracy is obtained, particularly in scenarios where multiple factors impact the outcome. By simultaneously considering multiple predictors, the model can better encompass the variability in the dependent variable (Kim & Oh, 2021). A regression analysis is applied with levels of measurement ideal for interval-ratio and ordinal values, which are the same variable types featured in the mock study. Multiple regression analysis allows for the identification of intricate relationships among multiple independent variables and a solitary dependent variable. This type of statistical test facilitates the exploration of the individual significance of each independent variable and their collective, as well as individual, impact on the dependent variable. In assessing the significance of these relationships, multiple regression permits hypothesis testing through the analysis of regression coefficients and their respective significance levels.

Assignment

Provide a brief summary as to why you agree with the author's view point.