DNP-Project Discussion Questions
DNP-Project Discussion Questions
The following questions answered in about 150 words each
DQ-1
Review “Criticism and Judgment: A Critical Look at Scientific Peer Review,” located in topic materials.
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Discuss the importance of incorporating feedback from a peer review process and dealing with the experience of uncertainty it may create for both the author and the reviewer. You may share whatever information from your peer review that you are comfortable sharing.
Why is peer review so important and how can we use peer review or the professional critique offered to us to improve our scholarly position?
RESOURCES
Hope, A. A., & Munro, C. L. (2019). Criticism and judgment: A critical look at scientific peer review. American Journal of Critical Care, 28(4), 242–245.
DQ-2
View “Privacy & Health Research in a Data-Driven World” located in topic materials.
After viewing the video, discuss how you plan to protect your patient’s privacy within your project.
RESOURCES
View “Privacy & Health Research in a Data-Driven World,” located on the NIH Videocasting website.
URL:https://videocast.nih.gov/summary.asp?Live=33360&start=182&duration=8224&bhcp=1
DQ-3
Review “Why Causal Inference Matters to Nurses: The Case of Nurse Staffing and Patient Outcomes,” located in topic materials.
How would you define and imply causal inference relative to your quasi-experimental designed project and separate it from bias and other factors that may influence it?
RESOURCES
Costa, D. K., & Yakusheva, O. (2016). Why causal inference matters to nurses: The case of nurse staffing and patient outcomes. Online Journal of Issues in Nursing, 21(2), 1. doi-org.lopes.idm.oclc.org/10.3912/OJIN.Vol21No02Man02
DQ-4
Review “Information Bias in Health Research: Definition, Pitfalls, and Adjustment Methods,” located in topic materials.
Using your project proposal, provide an example of each of the types of errors described in the article.
RESOURCES
Althubaiti, A. (2016). Information bias in health research: Definition, pitfalls, and adjustment methods. Journal of Multidisciplinary Healthcare, 2016(1), 211–217. https://doi.org/10.2147/JMDH.S104807
DQ-5
Examine your process of data collection and how you will maintain patient privacy during your intervention. How can the Christian worldview of carrying out work within the public arena with compassion, justice, and concern for the common good affect data collection and patient privacy?
DQ-6
Review “Lies, Damned Lies and Statistics: Clinical Importance Versus Statistical Significance in Research,” located in topic materials.
Provide examples of how you addressed feasibility and statistical versus clinical significance in your proposal. For example, why did you select a four-week time frame for your project versus a power analysis? Did you select this because it was feasible? Why or why not and explain.
What is the difference between clinical and statistical significance and why are both important to the patient improvement outcomes of your project?
RESOURCES
Mellis, C. (2018). Lies, damned lies and statistics: Clinical importance versus statistical significance in research. Paediatric Respiratory Reviews, 25, 88–93. https://doi.org/10.1016/j.prrv.2017.02.002
DQ-8
Review “How to Make APA Format Tables and Figures Using Microsoft Word,” located in topic materials. Create a table of your proposed analysis including descriptive data in a Word document. Upload it to the discussion forum.
RESOURCES
ATTACHED
1
1
How to Make APA Format Tables and Figures Using Microsoft Word
I. Tables versus Figures
Tables and figures are used to display critical information, which may be challenging to share in the text. Tables use words and numbers displayed where the arrangement of the data does not visually display a spatial arrangement. Figures, on the other hand, communicate numerical information using spatial relations for comparison. For specific information about tables and figures according to the Publication Manual of the American Psychological Association (APA, 2020). DNP-Project Discussion Questions
II. Examples of APA Tables
A. Descriptive Table
Table 1
Characteristics of Variables
Variable | Variable Type | Level of Measurement |
Group, intervention, or tool | Independent |
Nominal
|
Rates or events | Dependent |
Nominal
|
Socioeconomic status or categories in an order | Dependent |
Ordinal
|
Time, temperature | Dependent |
Interval
|
Age, height, scores of tests | Dependent | Ratio |
Note: Add notes here = (Provide any reference, 2019).
Number of Handoffs Per Groups
Group | Number of Handoffs (%) |
Pre-Intervention Group (Baseline) | 150 (50%) |
SBAR Group |
150 (50%) |
Note. SBAR handoff was defined as …. (Reference, 2020)
Table 1
Age, Gender Level of Education, and Experience
n | % | ||
Gender | Male | 4 | 13.3 |
Female | 26 | 86.7 | |
Age | 24-30 | 15 | 50.0 |
31-40 | 7 | 23.3 | |
41-50 | 4 | 13.3 | |
51-60 | 2 | 6.6 | |
61-70 | 2 | 6.6 | |
Level of Education | Diploma | 2 | 6.6 |
Associates in Nursing | 2 | 6.6 | |
Bachelor of Science in Nursing | 24 | 80.0 | |
Master of Science in Nursing | 2 | 6.6 | |
Oncology Nursing Certification | Nurses with certification | 4 | 13.3 |
Nurses without certification | 26 | 86.7 | |
Years of Experience in Nursing | |||
Nursing | 0-5 years | 10 | 33.3 |
6-10 years | 5 | 16.7 | |
11-20 years | 10 | 33.3 | |
21-30 years | 5 | 16.7 | |
Charge Nurse | 0-5 years | 5 | 16.7 |
6-10 years | 10 | 33.3 | |
11-20 years | 10 | 33.3 | |
21-30 years | 5 | 16.7 | |
Working on Unit | 0-5 years | 10 | 33.3 |
6-10 years | 10 | 33.3 | |
11-20 years | 5 | 16.7 | |
21-30 years | 5 | 16.7 |
Table 1
Number of Hours Per Week Spent in Various Activities
Group |
Baseline (n = 30) |
Post Intervention (n = 30) |
Total Sample (n = 60) |
M (SD) | M (SD) | M (SD) | |
Schoolwork | 18.23 (7.79) | 16.23 (3.99) | 17.63 (1.2) |
Physical activities | 19.54 (3.63) | 14.23 (2.84)* | 18.67 (1.0) |
Socializing | 16.23 (3.99) | 17.63 (1.2) | 18.23 (7.79) |
Watching television | 14.23 (2.84) | 18.67 (1.0) | 19.54 (3.63) |
Extracurricular activities | 19.54 (3.63) | 18.23 (7.79) | 19.22 (5.45) |
Note. Schoolwork was defined as time spent doing classwork outside of regular class time. *statistically significant at p <.05
B. Chi-Square Example (Group IV x Group DV)
Table 1
Cross-tabulation of Groups and Misses and Non-Misses
Group |
Communication Misses/Non-Misses |
|||
No Misses | Misses | U | p | |
Baseline |
||||
Intervention |
Note. **= p < .01. Adjusted standardized residuals appear in parentheses below group frequencies.
Table 1
Cross-tabulation of Gender and Chronic Pain
Chronic Pain |
Gender | |||
Female | Male | χ2 | Φ | |
Yes |
3 (-2.5) |
8 (2.5) |
4.10** |
.50 |
No |
8 (2.5) |
4 (-2.5) |
Note. **= p < .01. Adjusted standardized residuals appear in parentheses below group frequencies.
C. t-Test Example (Dichotomous Group IV x Score DV)
Notice two separate t-test results have been reported, which can be compared by the reader.
Table 1
Chronic Pain Score and Exercise Time for Males and Females
Gender | ||||
Female | Male | t | Df | |
Pain Score |
3.33 (1.70) |
3.75 (1.79) |
-2.20* | 175 |
Exercise Time |
4.28 (.7509) |
3.87 (.9280) |
4.2** | 176 |
Note. * = p < .05, *** = p < .001. Standard deviations appear in parentheses below means.
Table 1
Enter a descriptive title.
Outcome | ||||
Before Score | After Score | t | Df | |
Baseline |
Mean (SD) |
Mean (SD) |
Value for t* | Degrees of freedom value |
Intervention |
Mean (SD) |
Mean (SD) |
Value for t* | Degrees of freedom value |
Note. * = p < .05, *** = p < .001. Standard deviations appear in parentheses below means.
D. One Way ANOVA with 3 Groups Example (Group IV x Score DV)
Within an analysis of variance (ANOVA), an analysis of the effects of comparisons is reported using the F and n2. Notice in the table below, four different analyses or comparisons are displayed. However, if a significant difference is noted, the analysis should go further and provide the comparisons which are made post hoc for any significant analyses. The F value is marked as significant or not with asterisks (***). The power of this table is the ability to examine four different analyses at the same time. DNP-Project Discussion Questions
Table 1
Analysis of Variance for Sleep Times and Experimental Groups
Experimental Group | |||||
Aerobic Exercise | Weight Lifting | No Exercise | F | η2 | |
Total Sleep Time |
8.23a (.55) |
6.93b (.90) |
7.73ab (.55) |
4.78***
|
.18 |
Total Wake Time |
3.56a (.70) |
3.62a (.55) |
3.24a (.90) |
.07 | .00 |
Total Light Sleep |
3.29c (.73) |
2.89 (.72) |
3.02b (.49) |
1.95* | .06 |
Total Deep Sleep |
3.21b (.19) |
3.10a (.28) |
3.30a (.19) |
.20 | .01 |
Note. * = p < .05, *** = p < .001. Standard deviations appear in parentheses below means. Means with differing subscripts within rows are significantly different at the p < .05 based on Fisher’s LSD post hoc paired comparisons.
Any comparison found to be significant should be further evaluated using a post hoc analysis to determine the factor associated with the significance, e.g., aerobic exercise, weightlifting, or no exercise.
E. Factorial ANOVA Example 2 x 3 Between-Subjects Design
Two tables are used within a factorial ANOVA. First, the overall results for the main effects are provided for the two independent variables. Then the interaction effect for the two independent variables is provided. The simple effects are used to show any interactions which may be present. DNP-Project Discussion Questions
Table 1
Experimental Group x Sex Factorial Analysis of Variance for Sleep Scores
Source | Df | F | η2 | p |
Experimental Group | 2 | 7.93 | .17 | .001** |
Sex |
1
|
31.41
|
.34
|
.001**
|
Group x Sex (interaction)
|
2
|
7.85
|
.17
|
.002 **
|
Error (within groups) | 30 |
** = p < .01.
Table 5
Analysis of Sleep Scores for Experimental Groups by Gender
Aerobic Exercise | Weight Lifting | No Exercise |
Simple Effects: F df (2, 30) |
|
Males |
10.37a (2.50) |
10.30a (2.34) |
10.33a (1.63) |
.04 |
Females |
4.83a (1.60) |
10.50b (2.59) |
4.50a (1.52) |
15.74** |
Simple Effects: F df (1, 30) |
23.56**
|
.00
|
23.56** |
Note. ** = p < .01. Standard deviations appear in parentheses bellow means. Means with differing subscripts within rows are significantly different at the p < .05 based on Fisher’s LSD post hoc paired comparisons.
F. Correlations (Scores IV x Scores IV)
Table 1
Pearson’s Product Moment Correlations for Chronic Pain Score, Exercise Attitude Scores,
and Physical Activity
Demographic Influences on Exercise | ||
Weight | Age | |
Chronic Pain Score
Pain Level |
.39*** |
-.07 |
Pain Intensity |
.15 |
.22* |
Physical Exercise
Type of Exercise |
-.26** |
-.19† |
Time of Exercise |
-.13
|
-.21*
|
Intent to Exercise | .02 | -.10 |
Note. † = p < .10, *= p < .05, **= p < .01, ***= p < .001. N = 96 for all analyses.
III. Examples of APA Figures
Figures are used to show spatial relationships so that comparisons between variables or factors can be visually demonstrated. Figures should be easy to read, relevant, and identify the features being compared using labels, titles, and colors to present the data. The figure should be kept on one page and supplement the text. The caption should provide enough detail that the figure can be understood without having to refer to the text. DNP-Project Discussion Questions
Figure 1 Graph of Scores Before and After
Note: Reprinted from S. GCU. Alternatively, adapted from or www.website.com and reprinted with permission.
Additional Examples:
Table 1
Chronic Pain Score and Exercise Time for Males and Females
Gender | ||||
Female | Male | t | Df | |
Pain Score |
3.33 (1.70) |
3.75 (1.79) |
-2.20* | 175 |
Exercise Time |
4.28 (.7509) |
3.87 (.9280) |
4.2** | 176 |
Note. * = p < .05, *** = p < .001. Standard deviations appear in parentheses below means.
Table 1
Table Title Should be Capitalized and Italicized, if Longer Than One-line, Single Space the Title so That it Runs Like This.
______________________________________________________________________________
Variable Variable
Category Group Group Group Group
Table Spanner
1 # # # #
2 # # # #
3 # # # #
___________________________________________________________________________
Table Spanner
1 # # # #
2 # # # #
3 # # # #
___________________________________________________________________________
Total # # # #
Table 1
Means and Standard Deviations in the Measure
_____________________________________________________________________________
Enter the Measure or Variable Score
Category n M SD
1 | # | # | # |
2 | # | # | # |
3 | # | # | # |
4 | # | # | # |
5 | # | # | # |
Note: Enter notes
*Enter specific notes
Table 1
Participant Characteristics
__________________________________________________________________________
Group One Other Group
Measure M SD M SD F (DF) p __
1 | # | # | # | # | #(#,#) | # |
2 | # | # | # | # | #(#,#) | # |
3 | # | # | # | # | #(#,#) | # |
4 | # | # | # | # | #(#,#) | # |
Table 1
Independent Sample t-test
____________________________________________________________________________________
Group One Group Two | ||||||
Source | M | SD | M | SD | t (df) | p*** |
Variable 1 | # | # | # | # | # (#) | # |
____________________________________________________________________________________
Note: M = Mean, SD = Standard Deviation.
***P<0.001. N=#
Table 1
Chi-Square Results
Group Before After χ2** φ |
||||
Yes |
# (##) |
# (##)
|
# | # |
No |
# (##) |
# (##) |
||
Note. **= p < .01. Adjusted standardized residuals appear in parentheses low group frequencies.
Table 1
One-Way Analysis of Variance of the Results
Source | df | SS | MS | F | p |
Between groups | 2 | 18.14 | 9.07 | 4.09 | .02 |
Within groups | 70 | 155.23 | 2.22 | ||
Total | 72 | 173.37 |
____________________________________________________________________________________
References
American Psychological Association (2020). Publication manual of the American Psychological
Association. (7th ed.). Washington, DC; Author
Microsoft Word ®. (2019). Retrieved from https://products.office.com/
Before 38 36 43 35 37 37 39 36.027027027027025 35.054054054054056 39 42.05263157894737 36 37 36 37 36 36.027027027027025 36 36 37 37 After 25 24 23 22 27 30 27 33 29 37 30 22 23 29 33 34 30 29 31 35 32
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- Discussion Questions (DQ)
Initial responses to the DQ should address all components of the questions asked, including a minimum of one scholarly source, and be at least 250 words. Successful responses are substantive (i.e., add something new to the discussion, engage others in the discussion, well-developed idea) and include at least one scholarly source. One or two-sentence responses, simple statements of agreement or “good post,” and responses that are off-topic will not count as substantive. Substantive responses should be at least 150 words. I encourage you to incorporate the readings from the week (as applicable) into your responses.
- Weekly Participation
Your initial responses to the mandatory DQ do not count toward participation and are graded separately. In addition to the DQ responses, you must post at least one reply to peers (or me) on three separate days, for a total of three replies. Participation posts do not require a scholarly source/citation (unless you cite someone else’s work). Part of your weekly participation includes viewing the weekly announcement and attesting to watching it in the comments. These announcements are made to ensure you understand everything that is due during the week.
- APA Format and Writing Quality
Familiarize yourself with the APA format and practice using it correctly. It is used for most writing assignments for your degree. Visit the Writing Center in the Student Success Center, under the Resources tab in Loud-cloud for APA paper templates, citation examples, tips, etc. Points will be deducted for poor use of APA format or absence of APA format (if required). Cite all sources of information! When in doubt, cite the source. Paraphrasing also requires a citation. I highly recommend using the APA Publication Manual, 6th edition.
- Use of Direct Quotes
I discourage over-utilization of direct quotes in DQs and assignments at the Master’s level and deduct points accordingly. As Masters’ level students, it is important that you be able to critically analyze and interpret information from journal articles and other resources. Simply restating someone else’s words does not demonstrate an understanding of the content or critical analysis of the content. It is best to paraphrase content and cite your source. DNP-Project Discussion Questio
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For assignments that need to be submitted to Lopes Write, please be sure you have received your report and Similarity Index (SI) percentage BEFORE you do a “final submit” to me. Once you have received your report, please review it. This report will show you grammatical, punctuation, and spelling errors that can easily be fixed. Take the extra few minutes to review instead of getting counted off for these mistakes. Review your similarities. Did you forget to cite something? Did you not paraphrase well enough? Is your paper made up of someone else’s thoughts more than your own? Visit the Writing Center in the Student Success Center, under the Resources tab in Loud-cloud for tips on improving your paper and SI score.
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The university’s policy on late assignments is a 10% penalty PER DAY LATE. This also applies to late DQ replies. Please communicate with me if you anticipate having to submit an assignment late. I am happy to be flexible, with advance notice. We may be able to work out an extension based on extenuating circumstances. If you do not communicate with me before submitting an assignment late, the GCU late policy will be in effect. I do not accept assignments that are two or more weeks late unless we have worked out an extension. As per policy, no assignments are accepted after the last day of class. Any assignment submitted after midnight on the last day of class will not be accepted for grading.
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