# Benchmark – What Are the Data Saying? Requires Lopeswrite Assessment Description The DNP must have a basic understanding of statistical measurements

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 digitsCHI-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.