12week 2 Assignment 1 Associate Research Conceptand Research Ques

The purpose of this assignment is to assess your understanding of developing testable research questions from secondary data. As an administrator of a healthcare organization that prides itself on being one of the best centers that address healthcare issues related to chronic diseases, you and your organization collect very rich patient data. To improve the healthcare service that your organization provides for the patients who walk through your door, you and your board decide it will be a good idea to study: Differences between age groups (categorical/nominal) variable in terms of the cost of care Relationship between age (continuous interval variable) variable in terms of cost of care To advance this idea, you were charged with developing two well-written research questions for this endeavor.

Make sure the research questions are specific enough to be researchable. Use the elements in the ice cream cone model as a guide. For each research question, write a brief narrative (1-2 pages) explaining the elements/concepts in your research question and why you chose to state your question the way you did.

Length: 2-4 pages, not including title and reference pages References: Include a minimum of 3 scholarly resources Your paper should demonstrate thoughtful consideration of the ideas and concepts presented in the course and provide new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards. Be sure to adhere to Northcentral University's Academic Integrity Policy.

Paper For Above instruction

Developing precise and researchable questions is fundamental in conducting effective secondary data analysis, especially in healthcare research focused on chronic diseases. For this assignment, two distinct research questions are constructed—one examining differences in care costs across age groups, and the other exploring the relationship between age as a continuous variable and cost of care. These questions are formulated with particular attention to the elements of the ice cream cone model: Population, Concept, and Context, ensuring they are clear, specific, and feasible for empirical investigation.

The first research question addresses categorical differences:

"Is there a significant difference in healthcare costs among different age groups (e.g., young adults, middle-aged adults, seniors) with chronic diseases in a healthcare organization?"

This question aims to compare cost variations across age categories. The population refers to patients with

chronic conditions, while the concept focuses on cost of care, and the context is a healthcare facility leveraging secondary data. The question is specific because it delineates age groups and targets a particular patient population, making it operationally measurable through health records.

The second question examines a continuous variable relationship:

"How does age as a continuous variable affect the cost of care among patients with chronic diseases in a healthcare setting?"

This inquiry seeks to understand whether increases in age correlate with higher or lower healthcare costs. Here, the population remains the same, but the concept explores continuous age and its association with care costs. This question allows for statistical analyses such as correlation and regression, offering nuanced insights into how age influences healthcare expenditures.

Both questions utilize elements of the ice cream cone model by clarifying the population (patients with chronic diseases), the core concepts (cost of care and age), and the contextual setting (healthcare organization with secondary data). They are designed to be specific enough for empirical testing, suitable for secondary data analysis, and aligned with scholarly standards. Developing these questions involved careful consideration of operational definitions and ensuring that they are feasible given the data available. Such targeted questions facilitate evidence-based decision-making aimed at resource allocation, personalized care strategies, and policy development within healthcare organizations.

References

Dancey, J., & Reidy, J. (2017). Statistics without Maths for Psychology (7th ed.). Pearson Education.

Fink, A. (2019). How to Conduct Surveys: A Step-by-Step Guide. Sage Publications.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

Polit, D. F., & Beck, C. T. (2017). Nursing Research: Generating and Assessing Evidence for Nursing Practice (10th ed.). Wolters Kluwer.

Tabachnick, B. G., & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). Pearson.