Question

I need to know whether this discussion is headed in the right direction?

In this discussion, I will attempt to identify a research question related to this discussion, address the two variable correlation, the scale of measurement and the expected outcome.  I will be changing the two variables for this discussion that I believe will appropriately fit this topic.  

Level 1: My career ambition is to receive my Master's degree in I/O psychology and creates plans that would decrease employees stress, increase organizational productivity, and produce a suitable workplace. As employers hire various cultures, generations, and educational backgrounds, more understating of diversity is required to develop successful leaders and satisfying employees.

Research Question: Does the number of employees absentees in the workplace correlate with the rate of corporation productivity?

The correlation between two variables indicates whether or not there is a relationship, but it does imply causation (Warner, 2013).  This statistics research will attempt to measure the relationship between the number of employees' unexcused absentees and the rate of company productivity.  

Level 2: According to Warner (2013), the independent variable (IV) is the variable that is being controlled or manipulated to test another variable (s). It is also known as a predictor variable whereas the dependent variable is sometimes referred to as an outcome variable. The dependent variable is the variable that is tested or examined. For example, I want to know the frequency of the number of employees' unexpected absentees (IV) reactions with the rate of company productivity (DV).

Level 3:  The IV calculate the number of the employees' unexcused absentees and the DV estimates the cost of the company work rate are a quantitative analysis of ratio measurements. The manipulative IV is reacting to the tested DV. The number of unexcused absences is manipulating the amounts of organization's production for the period used in this statistical research. As the number of employees' unexpected absentees increase, the rate of company productivity decreases. In a ratio measurement, there can be a value of zero. For instance, if no employees show up for work, there will be no company profits for that day.

Level 4:  I expect to see a negative correlation between the two variables in this statistical research. A negative correlation defines an inverse relationship between two variables meaning the two variables are going in the opposite directions. For example, as employees absenteeism increase, corporation production declines. According to Kocakulah, Bryan, and Lynch (2018), other independent variables such as training needs, employees morale, or leadership skills can be related to the cost of organizational growth  

Answer 1

It looks fine to me. I would advice you to include the type of model that you used to predict DV using IV. After which you could use some goodness of fit tests to assess the suitability of the model, for instance you could compute if you are building a linear regression model. After which you could collect further data, and carry out a hypothesis test on the parameters of your previously created model.

At the end you could compare your baseline model with the new models you make which would predict DV using some other independent variables( the ones you have already stated here). To do this you could create a Multiple Linear Regression model and compare the value of across the models you make.