Assignment: dnp800 module 5 to 8

Assignment: dnp800 module 5 to 8

module 5 discussion

Choose a research article and discuss the data collection process and the positive and negative aspects of the process.

Module 6 discussion

Choose one research article that includes either physiological or psychological knowledge and discuss how the knowledge would be used to influence the healthcare paradigm.

Module 7 discussion

Identify an implementation project that you have experienced. Discuss what worked and what did not work in the process.

Module 8 discussion

Describe three ethical considerations in research and knowledge acquisition and sharing

Module 5 Assignment (Assignment: dnp800 module 5 to 8)

Remember to submit your work following the file naming convention FirstInitial.LastName_Mx. For example, J.Smith_M01.docx. Remember that it is not necessary to manually type in the file extension; it will automatically append.

Start by reading and following these instructions:

1. Quickly skim the questions or assignment below and the assignment rubric to help you focus.

2. Read the required chapter(s) of the textbook and any additional recommended resources. Some answers may require you to do additional research on the Internet or in other reference sources. Choose your sources carefully.

3. Consider the discussion and the any insights you gained from it.

4. Create your Assignment submission and be sure to cite your sources, use APA style as required, check your spelling.

Assignment:

Subject Matter Experts and Data Collection – Your interview should be 1500-1700 words and should include at least three (3) citations. Clearly mark each heading to identify the interviews and summaries. Follow the guidelines for APA writing style. Be sure to use APA guidelines for referencing in an interview.

Choose a research topic that interests. This can be any topic you would like to research either qualitatively or quantitatively. An example might be effectiveness of a tool for monitoring home administration of medications however you can choose any topic you like. Develop a tool for collecting data (be sure to keep it fairly simple in the interests of the project), find three subject matter experts and have them evaluate your data collection tool through interviews. Include their assessment of the effectiveness of the tool. Be sure to include any recommendations for change in the tool. Then describe how the tool will change based on the recommendations.

Module 6 Assignment (Assignment: dnp800 module 5 to 8)

Remember to submit your work following the file naming convention FirstInitial.LastName_M01.docx. For example, J.Smith_M01.docx. Remember that it is not necessary to manually type in the file extension; it will automatically append.

Start by reading and following these instructions:

1. Quickly skim the questions or assignment below and the assignment rubric to help you focus.

2. Read the required chapter(s) of the textbook and any additional recommended resources. Some answers may require you to do additional research on the Internet or in other reference sources. Choose your sources carefully.

3. Consider the discussion and the any insights you gained from it.

4. Create your Assignment submission and be sure to cite your sources, use APA style as required, check your spelling.

Assignment:

Successful Data Collection Tools – Develop a 15 slide PowerPoint presentation. Be thorough and include rational and references for your recommendations.

Using the tool you evaluated in the previous week. Develop a PowerPoint presentation sharing how the data collected in the tool is driven by physiological and psychological concepts. Address what the end goal of the healthcare paradigm will be with the data collected.

Module 7 Assignment

Remember to submit your work following the file naming convention FirstInitial.LastName_M01.docx. For example, J.Smith_M01.docx. Remember that it is not necessary to manually type in the file extension; it will automatically append.

Start by reading and following these instructions:

1. Quickly skim the questions or assignment below and the assignment rubric to help you focus.

2. Read the required chapter(s) of the textbook and any additional recommended resources. Some answers may require you to do additional research on the Internet or in other reference sources. Choose your sources carefully.

3. Consider the discussion and the any insights you gained from it.

4. Create your Assignment submission and be sure to cite your sources, use APA style as required, check your spelling.

Assignment:

**BENCHMARK** Assessment, Implementation, and Review – Write a 2500-2700 word essay addressing each of the following points/questions. Support your ideas with at least three (5) scholarly citations in your essay. Use strict APA guidelines to format the paper. The cover page and reference page do not count towards the minimum word amount and an abstract and table of contents are not necessary and if included are not part of the overall word count.

Choose a project that you would like to implement in a healthcare delivery environment. Research the topic. Develop a plan to implement the knowledge found in the research. Discuss how you would evaluate the project. Include a discussion of what you will do if the project does not successfully launch.

Module 8 Assignment (Assignment: dnp800 module 5 to 8)

Remember to submit your work following the file naming convention FirstInitial.LastName_M01.docx. For example, J.Smith_M01.docx. Remember that it is not necessary to manually type in the file extension; it will automatically append.

Start by reading and following these instructions:

1. Quickly skim the questions or assignment below and the assignment rubric to help you focus.

2. Read the required chapter(s) of the textbook and any additional recommended resources. Some answers may require you to do additional research on the Internet or in other reference sources. Choose your sources carefully.

3. Consider the discussion and the any insights you gained from it.

4. Create your Assignment submission and be sure to cite your sources, use APA style as required, check your spelling.

Assignment:

Sharing Knowledge – Write a 1500-1700 word essay addressing each of the following points/questions. Support your ideas with at least three (3) scholarly citations in your essay. Use strict APA guidelines to format the paper. The cover page and reference page do not count towards the minimum word amount and an abstract and table of contents are not necessary and if included are not part of the overall word count.

Investigate three professional journals and describe the process and criteria they use for selecting work to be published. Describe how you would work to meet this process and criteria. Describe challenges you perceive in getting work published in the journals.

Module 8 Assignment

Reflection Artifact

Please consider how you have developed the knowledge, skills, and attitudes that enable your achievement of the Course Goals listed in the syllabus. Then write a reflection of minimum of 1000 words describing how this course has helped you achieve these goals. Finally, chose one assignment that you feel represents your best learning (artifact) in the course. Take a few minutes to revise it, according to comments from your professor. Combine these into one document.

Finally, submit the assignment into the drop-box and save a copy of it in a folder on your personal computer. Assignment: dnp800 module 5 to 8

 

MORE INFO 

The data collection process

Introduction

• I know, I know. Too many sections and too much information. I really apologize for that. The objective is to make the post as easy to understand as possible while at the same time trying to augment it with some good sources so one could obtain a deeper understanding of the subject matter. (It’s my first post ever and I’m sure you can see how much I shot myself in the foot there xD)

Step 1: Define objective and goals

The first step in the data collection process is to define your objective and goals. This will help you to know what you want to achieve, as well as what problems need solving. It’s also crucial to define some key details about your project:

• What is your main objective?

• What problem do you want to solve?

• How can we best measure success or failure of our solution (if there is such a thing)?

Step 2: Plan the collection process

• Define the objective and goals of your data collection.

• Define the target population.

• Define a sampling strategy that will yield reliable results and is representative of all members of that target population, including age groups, gender and race/ethnicity. You should also consider whether you want to include children in your sample (e.g., pre-kindergarten). If so, then select a specific sampling frame for children as well as an overall sampling frame for adults—for example if you’re collecting online support from parents who have children at school or daycare centers, then it’s important not just to select those parents who are actually using Facebook but also those who are interested in this type of information!

• Determine how many people need to be included in each stage/group before moving onto another step (e..g., if there were 100 people who responded “yes” when asked whether they would like more information about childcare options around where they live now…then divide these 100 respondents into two groups: Those who responded yes (n=50) vs those who did not respond yet (n=50)).

Step 3: Decide on your data sources

In order to get the most accurate data, you will want to collect it from multiple sources. When deciding where and how you’ll collect your information, keep in mind that there are several different types of data:

• population-based statistics (e.g., census)

• non-population based statistics (e.g., surveys)

• survey responses from individuals who have agreed to participate in these surveys

You should also consider what kind of source will provide the most reliable information for your study. For example: if you’re interested in gathering demographic information about college students’ political beliefs and affiliations, then it may be best for them not just because they’re more likely than older adults or children at school but also because they tend towards higher levels of education; therefore their responses might be more accurate when compared against other groups’ answers as well

Step 4: Decide on the data format

You’ll need to decide on the data format for your survey. This is because there are many different types of data formats and each one has its own pros and cons. For example, if you want to collect data from multiple sources, then it’s important that you use an appropriate format so that everyone can easily exchange information with each other.

You might think that choosing between comma separated (.csv) or tabulated (.txt) files would be easy, but in reality it’s not so simple! There are pros and cons with both file types – let’s look at these now:

• Comma Separated Files (CSV): They’re easy enough for people who aren’t too familiar with computers; however they tend have less formatting options than Tabular Files which makes them harder for them than CSVs when working within Excel or Google Docs etc… The other downside is they don’t allow users much room for customization since everything has been pre-defined by default – meaning if someone wants something else instead then they’ll have tiptoed around their options carefully before making changes themselves unless they’re willing/able enough knowledge wise…

Step 5: Decide on the data structure

Once you’ve collected the data, it’s time to decide on the data structure. This is where your database will be stored and organized. Different types of databases have different structures, but they all have one thing in common: if something isn’t consistent across multiple databases or systems—if someone wants to look at a particular record or view only certain fields—then they’ll need access to all of those other records as well.

There are many options out there when it comes to how you can organize your data; some popular ones include hierarchical (or tree) systems like Excel with its folders/categories/tabs hierarchy; flat files such as comma-separated values (CSV), text file formats like XML or JSON; relational databases based on SQL commands used by developers who create applications; NoSQL databases that use key-value pairs for storage instead of relational tables…the list goes on! It’s important that whatever system is chosen be consistent across all sources because each new source could potentially add new information into existing records without replacing anything else first (which would lead us back into Step 4 again).

Step 6: Consistency in data collection and data storage are essential

Consistency in the data collection process is essential to ensure that all of your results are accurate and consistent. A good way to achieve this consistency is by using a common template for each form. It’s also important that you have clear guidelines for what information can be collected, what questions should be asked, who should fill out forms (e.g., volunteers), and when they should be filled out (e.g., before/after events).

You can use specific software like SurveyMonkey or Excel to create templates for each survey question so that they are consistent across multiple surveys; however, there are many ways in which you can achieve consistency through personal judgment alone:

• Use similar wording on each page of your survey (or at least consistent terms) – don’t make up new words just because they sound better! You want people answering these questions accurately when they answer them so don’t change them too much unless there’s an obvious reason why something needs changing up.”

Step 7: Collecting metadata is important too

The metadata is the data about your data. It’s important to collect this information because it will help you perform tasks such as storing and analyzing your dataset, sharing it with others, or even just making sure that you have all of the necessary information when you need it.

Metadata can include things like:

• Who created these records? (e.g., a person)

• Where did they live? (e.g., city)

• What year were these records created?

The data collection process is more than just gathering information.

The data collection process is more than just gathering information. It’s also important to understand the value of collecting the right data, and how it can be used to inform your decision-making process.

One way you can ensure consistency in your data collection is by having one person collect all of the interview questions, so that they can be answered with the same wording each time. This will help reduce confusion about what questions have been asked or answered incorrectly (and make sure everyone understands what was said). Another tip is to make sure all participants have copies of their responses before turning them over so they know if anything has been left out or changed from one version to another—this helps prevent accidental changes later on down the line when trying to verify accuracy against original records!

Conclusion

Data scientists face the following challenges:

• Dealing with both data and people.  Data scientists have to be able to deal with both data and people: analysing a dataset, predicting outcomes, or building an algorithm.  The structure of the challenge determines how this is done.

• Processing big datasets

• Engaging with stakeholders – from someone who wants to get more out of their data, to a decision maker who needs more precise information about what they are doing.  This may involve consultation between co-workers or customers, or it may be necessary in order to find agreement on a course of action. One key skill here is communication; both verbally and via email/written reports.