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# Correlation and Regression Study

## Mini Research Proposal

This written assignment for this week is based on the work conducted in the “Correlation and Regression Study” discussion forum from this week. Based on this initial work, feedback received, and additional research, you will submit a mini research proposal that calls for the use of correlation and regression analyses.
Please include the following in the research proposal:

• Introduction (1 paragraph)
• Present the research question of interest.
• Provide a basic description of what correlation and regression are.
• Explain how correlation and regression apply to this research question.
• Methods
• Participants (1 paragraph)
• List how many participants will be selected.
• Identify who will be the participants and their major demographic characteristics (e.g., sex, age, etc.).
• Explain how participants will be selected for the study.
• Procedures (1-2 paragraphs)
• Identify the variables in the study.
• Describe each variable’s scale of measurement (nominal, ordinal, interval, or ratio) and characteristics (i.e., discrete vs. continuous, qualitative vs. categorical, predictor vs. criterion, etc.).
• Provide an operational definition for each variable, explaining how the variables will be measured.
• Results (1-2 paragraphs)
• Describe the statistical tests that will be conducted. Be sure to include why each test was chosen and why it was appropriate for this study.
• Identify the information that will be obtained from the results of these tests and what will be needed to answer the research question.
• Discussion (1 paragraph)
• Identify any expected biases, assumptions, or faults with the proposed study and the use of the identified statistical tests.
• Explain what conclusions can and cannot be made for this study, when using these statistical tests.
• Describe the practical significance or importance of the results.

The paper should be APA formatted as a research proposal, and approximately 1000-1300 words of content, not including the title and reference pages. Include a title page, and a reference page that includes any resources utilized. Submit your paper by Day 7.
Point Value: 7 Points-
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MY:Research Questions—-THAT YOU CAN USE  FOR THIS ASSIGNMENT
1. How does the employees’ motivation affect the organization Productivity?
In this research there are two main variables that is independent variable which in this case are the motivational factors to employees which include favorable working environment, compensation strategy, business culture and the management strategy. The dependent variable in this study is the organization productivity. The best effective scale for measuring these variables is ordinal scale basically because some variables have more impacts than the others.
2. What are the factors that affect the patient’s reaction to treatment?
The variables in these case include the type of medication, the lifestyle of the patient and the degree of the effect of the health condition has affected the patient. These variables have different effect on the patient’s reaction to treatment, the variables are categorical in nature. In this case the most effective measurement scale is the ordinal scale as well (Celli, Decramer, Wedzicha, Wilson, Agustí, Criner & Vogelmeier, 2015).
3. Does increase in gun ownership affect the crime level in the society?
This question has several variables that increase in criminal related deaths, criminal activities, assault cases. A rational scale level of measurement can be used in this research because of the nature of these variables. The variables depict some categorical characteristics they have different degrees of impact to the dependent variable in the question.
4. How does the school environment affect the student performance?
The security level in the school, the type of rules and the consequences of going against the rules and the level of strictness of the teacher in the school are the main variables in the research question. The rules and regulations is can be grouped into some category as well as the level of strictness of the teachers another subordinate staff, in this case the best scale of measurement to be used is the ordinal scale. The variables also have some categorical characteristics they are not numerical.
5. What is the probability that randomly selected teenager watches movie over three time in a week?
The possibility or the variables in this case is that the student watches three times, less, or even more in a week. In this case the main scales of measurement will be internal level, this is basically because they can be quantified but the decimal or rather the zero point is not relevant to the study or rather is meaningless (Pratt, 2015).
6. Is there any relationship between the traffic congestion and the price of fuel?
The research questions in this has only one variable of interest which is the fuel prices which may or may not affect the traffic congestion. This is a question that is meant towards finding the if there is relationship between the variables in the study. The level of measurement in this case is therefore ordinal scale. The data in this case may have some continuous characteristics.
7. Is there any relationship between gender and student performance in statistics and science subjects?
The variables in this case will be the average performance of the students in the subjects of focus, they will be categorized according to their gender. These variables can actually be measured using the ratio level of measurements by some mathematical operations. In this case an average will be calculated of both genders performance on the subjects being studied. The data in this study will depict some continuous characteristics.
8. How does the training frequency affect muscle growth for body builders?
The variables in this case are time, the intensity of training and the diet. These are the three basic factors that affect muscle growth. These variables can be measured using some interval level of scale because they affect muscle growth differently in body builders. This scale will be giving some difference in categories in the manner they affect the dependent variable here which is muscle growth. The data in this case will be analyzed mathematically and so will give some discrete results (Sahin, Serdar, Serteser, Unsal & Ozpinar, 2018).
9. What is the relationship between mortality rates and poverty level?
This research question is intended to establish the existence of any relationship between the mortality rates within a population and the poverty level of that population. The variables in these case will be poverty and death rate which will be measured using the ordinal level scale because it will be giving the degree to which these variables affect each other. The variables in this case will be having some continuous characteristics because they rise and fall at some level.
10. How does technological development impact learning in schools?
This research question has two directions, that is, the dependent variable may affect the independent in two ways either positively or negatively. The variables in this case will include the teaching techniques used by the teachers, the accessibility of the learning materials and so on this will have some positive impact on the learning processes. These variables will be measured using the ordinal level scale because they will be categorized and rated on the impact they have on the subject of study.
References
Pratt, M. G. (2015). Crafting and Selecting Research Questions and Contexts in Qualitative Research. Handbook of Qualitative Organizational Research: Innovative Pathways and Methods, 177.
Celli, B. R., Decramer, M., Wedzicha, J. A., Wilson, K. C., Agustí, A., Criner, G. J., … & Vogelmeier, C. (2015). An official American Thoracic Society/European Respiratory Society statement: research questions in chronic obstructive pulmonary disease. American journal of respiratory and critical care medicine, 191(7), e4-e27.
Sahin, O. N., Serdar, M., Serteser, M., Unsal, I., & Ozpinar, A. (2018). Vitamin D levels and parathyroid hormone variations of children living in a subtropical climate: a data mining study. Italian journal of pediatrics, 44(1), 40.