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 test
Benchmark – What Are the Data Saying?
Requires Lopeswrite
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.
- 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. - 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 - 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. - 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. - 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. - 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: - Discussion of the types of statistical tests used and why they have been chosen.
- Discussion of the differences between parametric and nonparametric tests.
- Description of the reported results of the statistical tests above.
- Summary of the conclusive results of the data analyses.
- Attach the SPSS outputs from the statistical analysis as an appendix to the paper.
- 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 marginally Example: 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.
Midterm Conference Evaluation: Individual Success Plan (ISP)
The Individual Success Plan (ISP) assignment in this course requires your collaboration with the
course faculty early on to establish a plan for successful completion of mutually identified and
agreed-upon specific deliverables for your programmatic requirements. Programmatic
requirements are: (1) completion of required practice immersion hours, (2) completion of work
associated with program competencies, and (3) work associated with completion of your Direct
Practice Improvement (DPI) Project.
A midterm conference will occur no later than Topic 5 and is intended for the learner, faculty, and
preceptor/mentor to discuss learner progress toward meeting the course goals. The faculty
member will meet with the preceptor/mentor to conduct the learner's midterm conference
evaluation, whether in person or virtually. The preceptor/mentor will meet with the learner to review
the evaluation form (either in person or virtually). If there are areas that need improvement, the
faculty will meet with the learner to complete a remediation form.
General Requirements:
Use the following information to ensure successful completion of the assignment as it pertains to
deliverables due in this course.
Use the Individual Success Plan (ISP) developed in Topic 1 as a personal plan for
completing your practice immersion hours and how competencies will be met. All of the
major milestones and deliverables should be indicated in the timeline.
Conferences may be conducted face-to-face or via technology. A copy of the signed
document will be uploaded into the digital classroom no later than the end of Topic 5.
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:
- Complete required practice immersion hours.
- Completion work associated with program competencies and work associated with
completion of your Direct Practice Improvement (DPI) Project. - Follow the instructions and complete the ISP.