DNP-830A Data Analysis

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DNP-830A Data Analysis

MODULE 1
DQ 1
Assessment Description

The DPI Project is conducted using a quantitative method driven by quality improvement. Provide a rationale for using a quantitative method in contrast to other methods (e.g., qualitative method or mixed method). Describe how the quantitative method is in line with quality improvement. Provide evidence supporting your response.
DQ 2
Assessment Description
Define and distinguish among nominal, ordinal, interval, and ratio variables used in the measurement of DPI Project outcomes. Discuss the errors which can be made by failing to understand the proper use of measurement variables based on level and type of comparison.
Examining Methods and Designs
Assessment Description
The DNP must have a basic knowledge of quantitative methodology and design as it contrasts with qualitative and mixed methods. With this knowledge, the DNP can differentiate between methods and designs used in the evaluation of the evidence. This assignment includes a comparison of methodology and design while examining the external and internal validity of three projects or studies.
General Requirements:
Use the following information to ensure successful completion of the assignment:
• Before beginning this assignment, review the following three articles provided as topic Resources: (1) “A Mental Health Home Visit Service Partnership Intervention on Improving Patients’ Satisfaction”; (2) “Chronic Drug Treatment Among Hemodialysis Patients: A Qualitative Study of Patients, Nursing, and Medical Staff Attitudes and Approaches”; and (3) “Factors Influencing Hand Hygiene Practice of Nursing Students: A Descriptive, Mixed-Methods Study.”
• Use the “Comparison Table of Methods and Designs” template located in the DNP-830A folder of the DC Network Practice Immersion workspace to complete the assignment.
• Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
• This assignment uses a rubric. Review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
• You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.
• Learners will submit this assignment using the assignment dropbox in the digital classroom. In addition, learners must upload this deliverable to the Learner Dissertation Page (LDP) in the DNP PI Workspace for later use.
Directions:
Part 1:
Using the “Comparison Table of Methods and Designs,” evaluate the three projects or studies indicated above.
Part 2:
Refer to the information from your “Comparison Table of Methods and Designs” and write a 1,000-1,250-word paper comparing the methods and designs of the three articles. Include the following in your paper:
1. Description of the characteristics associated with the method of each article.
2. Description of the characteristics associated with the design of each article.
3. Description of the statistical analysis associated with the method and design of each article.
4. Discussion of the reliability and validity issues associated with each methodology and design.
5. Summary comparing the different methods and designs used in the studies.
6. Attach the “Comparison Table of Methods and Designs” document as an appendix to your paper.
Portfolio Practice Immersion Hours:
It may be possible to earn portfolio practice immersion hours for this assignment. Enter the following after the References section of your paper:
Practice Immersion Hours Completion Statement DNP-830A

MODULE 2
Assessment Description
Describe the survey, instrument, or tool you plan to use in your DPI Project and explain why this is the best for your project. Describe the tool in terms of name, the number of items, how it is answered (e.g., multiple choice, Likert scale, yes/no, open answer), the total score, and the level of measurement. Describe the reliability and validity of the instrument including the applicable psychometric data. Provide evidence supporting your response.

DQ-2
Assessment Description

There are many types of errors that can be found in data. Depending on the source of data, the cleansing process can take a substantial amount of time, and the attention to detail should not be underestimated. After reading Chapter 12 in Clinical Analytics and Data Management for the DNP, compare four common types of data errors and identify a method for cleaning each error. Provide evidence supporting your response.

INDIVIDUAL PROJECT
TOPIC: Creating a Data Collection Sheet
Assessment Description
Creating a data collection sheet helps the project manager be more efficient when carrying out a quality improvement project. With a data collection sheet, you can easily fill out and organize your data efficiently. A data collection sheet should always be accompanied by a data dictionary. Data dictionaries are used to provide detailed information about the contents of a database, such as the names of measured variables, their data types, and text descriptions. A data dictionary provides a concise guide to understanding and using the data. This assignment includes the creation of a data dictionary and data collection sheet that will be used for your DPI Project in DNP-960A.
General Requirements:
Use the following information to ensure successful completion of the assignment:
• Before beginning this assignment, read Chapter 12 in Clinical Analytics and Data Management for the DNP.
• Use the “Data Collection Sheet Template,” located in the DNP-830A folder of the DNP PI Workspace to complete this assignment.
• Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
• This assignment uses a rubric. Review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
• You are not required to submit this assignment to LopesWrite.
• Learners will submit this assignment using the assignment dropbox in the digital classroom. In addition, learners must upload this deliverable to the Learner Dissertation Page (LDP) in the DNP PI Workspace for later use.
Directions:
Part 1:
1. Using the “Data Collection Sheet Template,” create a data dictionary for your DPI Project. Refer to the examples within the template.
2. Click on the Data Dictionary tab.
3. Include all data variables (data points) that will be collected for your DPI Project, including demographics and any surveys, instruments, and tools. (Refer to Chapter 12 in Clinical Analytics and Data Management for the DNP for examples, as needed.)
4. Include descriptions for the variable name, variable description, data source, level of measurement, possible values, SPSS coding instructions, and missing values.
Part 2:
1. Using the “Data Collection Sheet Template,” create your own template for your DPI Project. Please note that you are not collecting data for your DPI Project for this assignment.
2. Click on the Data Collection Sheet tab.
3. Edit Row 1 to match the variable names in the data dictionary.
4. Edit Row 2 to include example responses for each variable.
Portfolio Practice Immersion Hours:
It may be possible to earn portfolio practice immersion hours for this assignment. Enter the following after the References section of your paper:
Practice Immersion Hours Completion Statement DNP-830A

MODULE 3
Assessment Description
Descriptive statistics, such as demographics of the sample, are required for the DPI Project. Describe the project population and project sample. What demographic variables of your sample will you collect? What data source will you use to get these data? What do these data tell you about your sample? Provide evidence supporting your response.

DQ-2
Assessment Description

Compare parametric and nonparametric statistical tests. How does each test depend on the assumption of normality? What would you do if the data are not normally distributed? Provide evidence supporting your response.

INDIVIDUAL PROJECT

TOPIC: Working With Descriptive Statistics
Assessment Description
This course helps you develop a basic understanding of statistics. This course addresses two distinct types, descriptive and inferential statistics. In this assignment, you will use a software program that makes it easy to analyze data using specific tests. This assignment will give you practice with mean, median, mode, range, and standard deviation.
General Requirements:
Use the following information to ensure successful completion of the assignment:
• Refer to the “Downloading and Installing SPSS for Doctoral Students” resource, located in the Class Resources, to download SPSS to your computer prior to beginning this assignment.
• View the “Working with Descriptive Statistics” tutorial, located in the DNP-830A folder of the DNP PI Workspace.
• Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
• This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
• You are not required to submit this assignment to LopesWrite.
• Learners will submit this assignment using the assignment dropbox in the digital classroom. In addition, learners must upload this deliverable to the Learner Dissertation Page (LDP) in the DNP PI Workspace for later use.
Directions:
After you have downloaded the SPSS program to your computer, completed the assigned readings, and viewed the assigned videos, use the data provided in the topic Resources, “HCUP State Inpatient Databases (SID) File Composition – Number of Discharges by Year,” and appropriate statistics to address the following:
1. Determine the statistics for discharges in 2018 as follows: Mean, Median, Mode, Standard Deviation, Minimum, and Maximum.
2. Describe the data distribution using the bell curve as follows: Create a histogram with discharges (axis X) and frequencies (axis Y).
SPSS Output
1. Open SPSS and open a new database.
2. Go to the Variable View.
3. In the first row, label the name as State. Enter State as the Label Field. In the Values drop down, enter numerical values for each state label (e.g., 1 = AK, 2 = AR, etc.).
4. In rows 2 through 10, label the name as Year_2012 through Year_2020. Enter the applicable year (e.g., 2012, 2013, etc.) in the Label Field.
5. Go to the Data View and enter the data. Use numbers for the states in the first column. Enter the discharges for each applicable year (2012 – 2020) and align to the respective state. Save this data set. You will use this same data set in Topic 4.
6. Go to the menu and click Analyze. Click Descriptive Statistics, then click Frequencies, and add Year_2018 to the field. Click Statistics and click mean, median, mode, std. deviation, minimum, and maximum. Click continue. Click Charts and select Histograms. Click show normal curve on histogram. Click continue. Click OK. Review and save the Output.
Summary
Create a histogram of the discharges graphed. Determine if the data are normally distributed or skewed according to the bell curve. Write a 250-500-word summary of your analysis and results. Attach the histogram and the SPSS statistical output to the appendices of your paper.
Portfolio Practice Immersion Hours:
It may be possible to earn portfolio practice immersion hours for this assignment. Enter the following after the References section of your paper:
Practice Immersion Hours Completion Statement DNP-830A
MODULE 4
DQ 1
Assessment Description
Power analysis is used to determine if a sample size is adequate to evaluate project outcomes prior to initiating any project. This is also called a priori. Justify the project sample size for your DPI Project by using the sample size calculator to conduct a power analysis. Discuss how your sample size may affect the validity of your project. Determine the sampling method used in your project. Compare the convenience sample to other sampling methods. Provide evidence supporting your response.

DQ 2
Assessment Description
While the goal of the DPI Project is to achieve clinical significance, you will also need to discuss if the data analysis also has statistical significance. Statistical significance (p = .05) helps determine whether a result is by chance. On the chance that your DPI Project does not result in statistical significance, explain how you can justify clinical significance.

TOPIC: Working With Inferential Statistics
Assessment Description
This topic helps you develop a basic understanding of statistics. Two distinct types of statistics are addressed: descriptive and inferential. In this assignment, you will have another opportunity to use the SPSS program. SPSS makes it easy to analyze data using specific tests. This assignment will give you practice with t-tests, ANOVA, and communicating your results through a written summary.
General Requirements:
Use the following information to ensure successful completion of the assignment:
• Before beginning this assignment, be sure to view the tutorial videos located in the topic Resources.
• View the “Working With Inferential Statistics” tutorial, located in the DNP-830A folder of the DNP PI Workspace.
• Refer to the “Sample Analysis of Variance (ANOVA) Table” and “Sample Results of Several t Tests Table” in the topic Resources, as needed, to complete the table using APA style.
• Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
• This assignment uses a rubric. Review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
• You are not required to submit this assignment to LopesWrite.
• Learners will submit this assignment using the assignment dropbox in the digital classroom. In addition, learners must upload this deliverable to the Learner Dissertation Page (LDP) in the DNP PI Workspace for later use.
Directions:
Prior to beginning this assignment, complete the assigned readings and view the assigned videos. Using the data provided on the “HCUP State Inpatient Databases (SID) File Composition – Number of Discharges by Year” webpage, located in the topic Resources, conduct the appropriate statistical test in SPSS to address the following:
1. Describe the mean, standard deviation, and range of discharges in 2019.
2. Compare the number of discharges in 2019 in all states by region using an ANOVA. Are there significantly more discharges? Describe the assumption of variance between groups and within groups? Create a table of your results using APA style and attach as an appendix to your paper. Western States (Washington, Oregon, Idaho, Montana, Wyoming, California, Nevada, Utah, Arizona, New Mexico, Colorado Alaska, Hawaii); Mid-Western States (North Dakota, South Dakota, Nebraska, Kansas, Minnesota, Iowa, Missouri, Wisconsin, Illinois, Indiana, Michigan, Ohio); Southern States (Maryland, Washington D.C, West Virginia, Virginia, Kentucky, North Carolina, South Carolina, Georgia, Florida, Tennessee, Alabama, Mississippi, Arkansas, Louisiana, Oklahoma, Texas); Northeastern States (Maine, Vermont, New Hampshire, Massachusetts, Rhode Island, Connecticut, New York, New Jersey, Pennsylvania, Delaware).
3. Compare the number of discharges in all states between 2012 and 2019 using a paired t-test. Are there significantly more discharges in 2019 versus 2012? Describe the assumption of a paired samples t-test. Create a table for your results using APA style and attach as an appendix.
4. Write a 500–750-word summary of your results.
5. Attach your SPSS statistical outputs as an appendix to your paper.
Portfolio Practice Immersion Hours:
It may be possible to earn portfolio practice immersion hours for this assignment. Enter the following after the References section of your paper:
Practice Immersion Hours Completion Statement DNP-830A
I, (INSERT NAME), verify that I have completed and logged (NUMBER OF) clock minutes/hours in association with the goals and objectives for this assignment. I also have tracked said practice immersion hours in the Lopes Activity Tracker for verification purposes and will be sure that all approvals are in place from my faculty and practice immersion preceptor/mentor before the end of the course.
MODULE 5
DQ 1
Assessment Description
Identify the statistical analysis technique that will be used for your project, including the descriptive and inferential analysis. Justify how the analyses are aligned with the methodology and design. How does each analysis answer the clinical question in your project? Provide evidence supporting your response.

DQ 2
Assessment Description
Data visualization allows data findings to be reported in a graph, chart, or other visual format. It communicates the relationship of the data with images. This is important because it allows trends and patterns to be more easily seen. Describe the best way to visualize the data you will collect for your DPI Project to have the most effect on your audience.

INDIVIDUAL PROJECT

Benchmark – What Are the Data Saying?
Assessment Description
The DNP must have a basic understanding of statistical measurements and how they apply within the parameters of data management and analytics.
In this assignment, you will demonstrate understanding of basic statistical tests by performing the appropriate test for the given project data below using SPSS and by reporting the analyzed results in written paper.
General Requirements:
Use the following information to ensure successful completion of the assignment:
• Use the “Comparison Table of the Variable’s Level of Measurement,” located in the DNP-830A folder of the DNP PI Workspace, to complete the assignment.
• Review the “Working with Inferential Statistics” and “Working With Descriptive Statistics” tutorials, located in the DNP-830A folder of the DNP PI Workspace, for assistance as needed.
• Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
• This assignment uses a rubric. Review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
• You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.
• Learners will submit this assignment using the assignment dropbox in the digital classroom. In addition, learners must upload this deliverable to the Learner Dissertation Page (LDP) in the DNP PI Workspace for later use.
Directions:
Part 1:
Using the data in the “Comparison Table of the Variable’s Level of Measurement” display the dependent variables and the level of measurement in a comparison table. You will attach the comparison table as an appendix to your paper.
After downloading the data set, run the appropriate statistics in SPSS based on the steps listed below.
Provide a conclusive result of the data analyses based on the guidelines below for statistical significance.
1. PAIRED SAMPLE T-TEST: Identify the variables BaselineWeight and InterventionWeight. Using the Analysis menu in SPSS, go to Compare Means, Go to the Paired Sample t-test. Add the BaselineWeight and InterventionWeight in the Pair 1 fields. Click OK. Report the mean weights, standard deviations, t-statistic, degrees of freedom, and p level. Report as t(df)=value, p = value. Report the p level out three digits.
2. INDEPENDENT SAMPLE T-TEST: Identify the variables InterventionGroups and PatientWeight. Go to the Analysis Menu, go to Compare Means, Go to Independent Samples t T-test. Add InterventionGroups to the Grouping Factor. Define the groups according to codings in the variable view (1=Intervention, 2 =Baseline). Add PatientWeight to the test variable field. Click OK. Report the mean weights, standard deviations, t-statistic, degrees of freedom, and p level. Report t(df)=value, p = value. Report the p level out three digits
3. CHI-SQUARE (Independent): Identify the variables BaselineReadmission and InterventionReadmission. Go to the Analysis Menu, go to Descriptive Statistics, go to Crosstabs. Add BaselineReadmission to the row and InterventionReadmission to the column. Click the Statistics button and choose Chi-Square. Select eta to report the Effect Size. Click suppress tables. Click OK. Report the frequencies of the total events, the chi-square statistic, degrees of freedom, and p Report ꭓ2 (df) =value, p =value. Report the p level out three digits.
4. MCNEMAR (Paired): Identify the variables BaselineCompliance and Go to the Analysis Menu, go to Descriptive Statistics, go to Crosstabs. Add BaselineCompliance to the row and InterventionCompliance to the column. Click the Statistics button and choose Chi-Square and McNemars. Select eta to report the Effect Size. Click suppress tables. Click OK. Report the frequencies of the events, the Chi-square, and the McNemar’s p level. Report (p =value). Report the p level out three digits.
5. MANN WHITNEY U: Identify the variables InterventionGroups and Using the Analysis Menu, go to Nonparametric Statistics, go to LegacyDialogs, go to 2 Independent samples. Add InterventionGroups to the Grouping Variable and PatientSatisfaction to the Test Variable. Check Mann Whitney U. Click OK. Report the Medians or Means, the Mann Whitney U statistic, and the p level. Report (U =value, p =value). Report the p level out three digits.
6. WILCOXON Z: Identify the variables BaselineWeight and InterventionWeight. Go to the Analysis Menu, go to Nonparametric Statistics, go to LegacyDialogs, go to 2 Related samples. Add the BaselineWeight and InterventionWeight in the Pair 1 fields. Click OK. Report the Mean or Median weights, standard deviations, Z-statistic, and p Report as (Z =value, p =value). Report the p level out three digits.
Part 2
Write a 1,000-1,250-word data analysis paper outlining the procedures used to analyze the parametric and nonparametric variables in the mock data, the statistics reported, and a conclusion of the results. Include the following in your paper:
1. Discussion of the types of statistical tests used and why they have been chosen.
2. Discussion of the differences between parametric and nonparametric tests.
3. Description of the reported results of the statistical tests above.
4. Summary of the conclusive results of the data analyses.
5. Attach the SPSS outputs from the statistical analysis as an appendix to the paper.
6. Attach the “Comparison Table of the Variable’s Level of Measurement” as an appendix to the paper.
Use the following guidelines to report the test results for your paper:
• Statistically Significant Difference: When reporting exact p values, state early in the data analysis and results section, the alpha level used for the significance criterion for all tests in the project. Example:An alpha or significance level of < .05 was used for all statistical tests in the project. Then if the p-level is less than this value identified, the result is considered statistically significant. A statistically significant difference was noted between the scores before compared to after the intervention t(24) = 2.37, p = .007.
• Marginally Significant Difference: If the results are found in the predicted direction but are not statistically significant, indicate that results were marginallyExample: Scores indicated a marginally significant preference for the intervention group (M = 3.54, SD = 1.20) compared to the baseline (M= 3.10, SD = .90), t(24) = 1.37, p = .07. Or there was a marginal difference in readmissions before (15) compared to after (10) the intervention ꭓ2(1) = 4.75, p = .06.
• Nonsignificant Trend: If the p-value is over .10, report results revealed a non-significant trend in the predicted direction. Example: Results indicated a non-significant trend for the intervention group (14) over the baseline (12), ꭓ2(1) = 1.75, p = .26.
The results of the inferential analysis are used for decision-making and not hypothesis testing. It is important to look at the real results and establish what criterion is necessary for further implementation of the project’s findings. These conclusions are a start.
Portfolio Practice Immersion Hours:
It may be possible to earn portfolio practice immersion hours for this assignment. Enter the following after the References section of your paper:
Practice Immersion Hours Completion Statement DNP-830A
I, (INSERT NAME), verify that I have completed and logged (NUMBER OF) clock minutes/hours in association with the goals and objectives for this assignment. I also have tracked said practice immersion hours in the Lopes Activity Tracker for verification purposes and will be sure that all approvals are in place from my faculty and practice immersion preceptor/mentor before the end of the course.
Benchmark Information:
This benchmark assignment assesses the following programmatic competencies:
DNP
3.1:Demonstrate the conceptual ability and technical skills to develop and execute an evaluation plan involving data extraction from practice information systems and databases.

MODULE 6
DQ 1
Assessment Description
Discuss the basic principles of data interpretation, including the validity and reliability of the data used to translate outcomes into practice. What are common barriers to translating outcomes into practice? Analyze the importance of critically appraising the findings. Describe any barriers you may anticipate as you plan to translate the results of your own DPI Project into practice.

DQ 2
Assessment Description
Read the Bible verses listed in the topic Resources. What does the Bible have to say about how one should view work in general? How does this Christian worldview of work affect the approach to the DPI Project?

MODULE 7
DQ 1
Assessment Description
In the United States, disparities in health care for vulnerable populations are of great concern, with much attention focused on the potential for unconscious (implicit) bias. Christians are not immune to these human biases. Implicit bias has many effects on DPI projects including, data collection, data analysis, and patient outcomes. Based on your knowledge of the Christian worldview, how can a Christian worldview help eliminate bias from your DPI project.
DQ 2
Assessment Description
Review the types of data that are considered protected health information (PHI). How would the collection of this data affect your project (whether you plan to collect it or not) and how would you store it in order to protect what you are collecting?

INDIVIDUAL PROJECT

TOPIC: CITI Training: RCR for Social and Behavioral Science Doctoral Learners
Assessment Description
The Collaborative Institutional Training Initiative (CITI) training in research ethics is a requirement for submission of your DPI Project to the Institutional Review Board (IRB). CITI training provides you with information regarding IRB requirements. During this online training, you will be required to read and process information and to take quizzes to demonstrate your understanding of research ethics and IRB requirements. You will be able to save your work at the end of each module, exit, and return later. You will complete two courses during this topic: the Social Behavioral Research for Students and the RCR for Social and Behavioral Science Doctoral Learners.
For this assignment, you will complete the RCR for Social and Behavioral Science Doctoral Learners course.
General Requirements:
Use the following information to ensure successful completion of the assignment:
• CITI registration directions are found in the DC Network. To access them, please use the link provided in “CITI Registration Directions,” located in the topic Resources.
• Using your GCU email, set up your CITI account and register for the RCR for Social and Behavioral Science Doctoral Learners course by going to to https://www.citiprogram.org. Click on “Register Here” to register. You may register for the Social Behavioral Research for Students course at this time as well.
Directions:
1. Log on to the CITI training website.
2. Complete all modules of the RCR for Social and Behavioral Science Doctoral Learners course.
3. A completion report will be generated by the CITI website after you complete all modules.
4. Save your certificate as a PDF document on your computer.
5. Submit the saved completion report to the assignment dropbox.
Portfolio Practice Immersion Hours:
It may be possible to earn portfolio practice immersion hours for this assignment. Enter the following after the References section of your paper:
Practice Immersion Hours Completion Statement DNP-830A
I, (INSERT NAME), verify that I have completed and logged (NUMBER OF) clock minutes/hours in association with the goals and objectives for this assignment. I also have tracked said practice immersion hours in the Lopes Activity Tracker for verification purposes and will be sure that all approvals are in place from my faculty and practice immersion preceptor/mentor before the end of the course.
CITI Training: Social Behavioral Research for Students
Assessment Description
The Collaborative Institutional Training Initiative (CITI) training in research ethics is a requirement for submission of your DPI Project to the Institutional Review Board (IRB). CITI training provides you with information regarding IRB requirements. During this online training, you will be required to read and process information and to take quizzes to demonstrate your understanding of research ethics and IRB requirements. You will be able to save your work at the end of each module, exit, and return later. You will complete two courses during this topic: Social Behavioral Research for Students and the RCR for Social and Behavioral Science Doctoral Learners.
For this assignment, you will complete the Social Behavioral Research for Students course.
General Requirements:
Use the following information to ensure successful completion of the assignment:
• CITI registration directions are found in the DC Network. To access them, please use the link provided in “CITI Registration Directions,” located in the topic Resources.
• Using your GCU email, set up your CITI account and register for the required Social Behavioral Research for Students course by going to https://www.citiprogram.org. Click on “Register Here” to register. You may register for the RCR for Social and Behavioral Science Doctoral Learners course at this time as well.
Directions:
1. Log on to the CITI training website and register for the CITI training.
2. Complete all modules of the Social Behavioral Research for Students.
3. A completion report will be generated by the CITI website after you complete all modules.
4. Save your certificate as a PDF document on your computer.
5. Submit the saved completion report to the assignment dropbox.
Portfolio Practice Immersion Hours:
It may be possible to earn portfolio practice immersion hours for this assignment. Enter the following after the References section of your paper:
Practice Immersion Hours Completion Statement DNP-830A
I, (INSERT NAME), verify that I have completed and logged (NUMBER OF) clock minutes/hours in association with the goals and objectives for this assignment. I also have tracked said practice immersion hours in the Lopes Activity Tracker for verification purposes and will be sure that all approvals are in place from my faculty and practice immersion preceptor/mentor before the end of the course.
MODULE 8
DQ 1
Assessment Description
The “Revised Standards for Quality Improvement Reporting Excellence: SQUIRE 2.0” guidelines, located in the topic Resources, provide some guidance on the evaluation of quality improvement efforts. They are used as both grant proposal and manuscript publication preparation guidelines. Discuss how your project aligns with the SQUIRE 2.0 guidelines. Explain why your DPI Project is a quality improvement project and not a research project.

DQ 2
Assessment Description
Select a nursing journal in which you would be interested in having your completed DPI Project published. Identify the journal and include a summary of the author guidelines. Describe at least two other methods commonly used by authors to disseminate or report quality improvement outcomes. How could the author guidelines, or those additional strategies you identified, be beneficial to you as you develop and implement your DPI Project? How could the author guidelines be beneficial to your practice?