plz see attached file

plz see attached file
7.1 Quantitative Data Collection Instrument Overview: Using the topic and research question you developed in week 1, you will design a quantitative instrument that could potentially answer your topic/research question if it were to be applied to a quantitative study. Keep in mind, this may take some stretching if you wrote your question leaning quantitatively. The purpose here is not to box you in but to ensure that you have a solid understanding of both methodologies. This assignment functions similar to 3.1 but in a quantitative format. Finally, view the rubric and examples to make sure you understand the expectations of this assignment. Directions: You will develop a word document to include: Your research question in the form of a quantitative question (if it was not already). An instrument or protocol (survey, questionaire, archival data, etc) that could be used to answer the quantitative version of your research question. *Special note for those using archival data, you will describe the process of data retrieval for your archival data. See examples to help. A one paragraph description/justification of how your chosen instrument/protocol is the best choice for answering the quantitative version of your research question. See examples to help guide your writing: Quantitative Instrument Samples.pdf Quantitative Instrument Samples.pdf – Alternative Formats View the rubric: Rubric for Data Instrument.docx Topic is “Enhancing Cyber Security In Healthcare -With The Help Of Machine Learning”. Research Questions: How can we control the access to sensitive healthcare information and systems? How to provide data security for affected healthcare data breaches? How to enhance the cybersecurity in healthcare to overcome the cyber attacks ?
plz see attached file
Rubric for Data Collection Instrument Emerging Approaches Expectations Meets Expectations Exceeds Expectations Instrument 70% 80%  Most lines of inquiry are necessary but some do not contribute to the analysis of the research topic  Many lines of inquiry are worded unclearly and ambiguously  Most rating scales are not equidistantly distributed and are unclear  Instrument design is difficult for users to follow and complete 90%  Most lines of inquiry are necessary and contribute to the analysis of the research topic  Almost all lines of inquiry are worded clearly and unambiguously  Most rating scales are equidistantly distributed and clearly stated  Instrument design is neat but sometimes difficult for users to follow and complete 100%  All lines of inquiry are necessary and contribute to the analysis of the research topic  All lines of inquiry are worded clearly and unambiguously  All rating scales are equidistantly distributed and clearly stated  Instrument design is neat and easy for users to follow and complete