Journal Response MODULE 4

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Module4JournalRubric.docx

3/15/26, 8:59 PM Preview Rubric: Graduate Journal Question Rubric v1 - DNP860 Sect1 Evidence-Based Practice for Quality Improvement - Aspen University Classroom

3/15/26, 8:59 PM Preview Rubric: Graduate Journal Question Rubric v1 - DNP860 Sect1 Evidence-Based Practice for Quality Improvement - Aspen University Classroom

Journal Question Rubric v1

Criteria

Does Not Meet

Expectations

Approaches

Expectations

Meets Expectations

Exceeds Expectations

Criterion Score

Claim/Quality of

Information

Weight: 40%

/ 8

0

points

pts

)

(0

Response to quiz

question is missing

or inaccurate.

Answer is inaccurate

and does not ad

-

dress the prompt.

2.5

points

(5.6

pts

)

Response to quiz

question is missing

key elements.

Answer is partially

inaccurate and

misses elements in

the prompt. Claims

are lacking informa

-

tion to be fully

thought out.

6.4

points

)

pts

(6.4

Response to quiz

question is appropri

-

ate and accurate.

Answer is appropri

-

ate and responses

to the prompt.

Claims are

appropriate.

8

points

(8

pts

)

Response to quiz

question is thorough

and detailed.

Answer is clear and

concise and re

-

sponses to all as

-

pects of the prompt.

Claims are justified

and plausible.

Overall Score

Level 1

0

points minimum

Level 2

14

points minimum

Level 3

16

points minimum

Level 4

20

points minimum

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Journal_Week_4.docx

Module 4: Qualitative Research  Module 4 Overview

This week we will focus on the qualitative study design. The qualitative design is structured to understand better the participant's lived experience by further investigating a social or natural phenomenon. Qualitative studies seek to interpret the meaning and do not use numerical data to evaluate a cause and effect. Qualitative studies seek to understand the relationships between the variables, focusing on behavior, actions, or interactions.

Unlike the quantitative study design, where a higher sampling helps support the reliability and validity of the outcome, qualitative methods often have smaller participant sizes. Understanding what qualifies as an appropriate sample is essential when approaching your project and considering both approaches. This week we will learn more about Sampling and the different types for both quantitative and qualitative designs.

Journal Question:

Reflecting on your stated “population” of interest, using the sample calculator, what is an appropriate sample target size for your project implementation (what are your power analysis results)? Explain the importance of the sample size and why it matters.

Journal Response Expectations

Each short-answer Journal response will be a minimum of 300 words.

No citation, reference, or APA style is necessary.

This is my Topic

“ This quality improvement project is to implement the use of an evidence-based self-care tool, Summary of Diabetes Self-Care Activities (SDSCA), to improve diabetes self-care behaviors among adults with type 2 diabetes.”

Refererences

Finkelman, A. (2020).  Quality improvement: A guide for integration in nursing (2nd ed.). Jones & Bartlett Learning. ISBN: 9781284206531 Read chapter 8.

Schmidt, N. A., & Brown, J. M. (2021).  Evidence-based practice for nurses: Appraisal and application of research (5th ed.). Jones and Bartlett Learning. IBSN:978-1-274-22632-4. Read chapters 10, 11, & 12.

Additional resources

Busetto, L., Wick, W. & Gumbinger, C. (2020). How to use and assess qualitative research methods.  Neurological Research and Practice2(14).  https://doi.org/10.1186/s42466-020-00059-z  

Society for Personality and Social Psychology. (2017).  Power analysis and sample size decisions [Video]. YouTube.  https://youtu.be/Lr-i4Ugoc5M  

University of Texas|UThealth. (2022).  Critiquing research articles.  https://libguides.sph.uth.tmc.edu/writing_support_services/CritiquingResearch

Georgiev, G.Z., (2022).  Sample size calculator.  https://www.gigacalculator.com/calculators/power-sample-size-calculator.php  

Heinrich Heine Universität Dusseldorf. (n.d.)  G*Power statistical power of analyses for mac and windows.  https://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower  

The John Hopkins Hospital (n.d.).  John Hopkins nursing evidence-based practice: Appendix D: Evidence level and quality guide.  https://hsl.upstate.edu/uploads/20200214-jhneb/2017_Appendix-D_Evidence-Level-and-Quality-Guide.pdf