Quantitive Article Analysis

Quantitive Article Analysis https://pronursingtutors.com/wp-content/themes/fildisi/images/empty/thumbnail.jpg 150 150 Peter Peter https://secure.gravatar.com/avatar/493791ba001791428dc7fe32da4f1fdd?s=96&d=mm&r=g September 5, 2022 September 5, 2022

Quantitive Article Analysis

Review the Johns Hopkins Nursing Evidence Based Practice Appendix E Evidence Appraisal Tool Download Johns Hopkins Nursing Evidence Based Practice Appendix E Evidence Appraisal Tool. Once youâ€™ve reviewed the tool, use your own words to summarize your appraisal of the article. Include the following: Appraisal Tool does not need to be turned completed or turned in just reviewed
Rowley, Bezold, C., Arikan, Y., Byrne, E., & Krohe, S. (2017). Diabetes 2030: Insights from Yesterday, Today, and Future Trends. Population Health Management, 20(1), 6â€“12. https://doi.org/10.1089/pop.2015.0181
Description of the purpose
Explanation of research design
Discussion of sample
Description of data collection methods
Summary of findings
Strengths of the study (minimum of 1)
Limitations of the study (minimum of 1)
Recommendations regarding potential application for future practice that are insightful and appropriate.

Sample Paper

Evidence level and quality rating:
Article title: Diabetes 2030: insights from yesterday, today, and future trends.	Number: 20(1), 6-12.
Author(s): Rowley, W. R., Bezold, C., Arikan, Y., Byrne, E., & Krohe, S	Publication date: 2017 Feb 1.
Journal: Population health management
Setting:	Sample (composition and size): Diabetes patients
Does this evidence address my EBP question? Yes No-Do not proceed with appraisal of this evidence
Is this study: QuaNtitative (collection, analysis, and reporting of numerical data) Measurable data (how many; how much; or how often) used to formulate facts, uncover patterns in research, and generalize results from a larger sample population; provides observed effects of a program, problem, or condition, measured precisely, rather than through researcher interpretation of data. Common methods are surveys, face-to-face structured interviews, observations, and reviews of records or documents. Statistical tests are used in data analysis. Go to *Section I: QuaNtitative* QuaLitative (collection, analysis, and reporting of narrative data) Rich narrative documents are used for uncovering themes; describes a problem or condition from the point of view of those experiencing it. Common methods are focus groups, individual interviews (unstructured or semi structured), and participation/observations. Sample sizes are small and are determined when data saturation is achieved. Data saturation is reached when the researcher identifies that no new themes emerge and redundancy is occurring. Synthesis is used in data analysis. Often a starting point for studies when little research exists; may use results to design empirical studies. The researcher describes, analyzes, and interprets reports, descriptions, and observations from participants. Go to *Section II: QuaLitative* Mixed methods (results reported both numerically and narratively) Both quaNtitative and quaLitative methods are used in the study design. Using both approaches, in combination, provides a better understanding of research problems than using either approach alone. Sample sizes vary based on methods used. Data collection involves collecting and analyzing both quaNtitative and quaLitative data in a single study or series of studies. Interpretation is continual and can influence stages in the research process. Go to *Section III: Mixed Methods*

Section I: QuaNtitative

Level of Evidence (Study Design)

Is this a report of a single research study?

o Yes

o No
Go to B

1. Was there manipulation of an independent variable?

o Yes

o No

2. Was there a control group?

o Yes

o No

3. Were study participants randomly assigned to the intervention and control groups?

o Yes

o No

If Yes to questions 1, 2, and 3, this is a randomized controlled trial (RCT) or experimental study.

LEVEL I

If Yes to questions 1 and 2 and No to question 3 or Yes to question 1 and No to questions 2 and 3, this is quasi-experimental.
(Some degree of investigator control, some manipulation of an independent variable, lacks random assignment to groups, and may have a control group).

LEVEL II

If No to questions 1, 2, and 3, this is nonexperimental.
(No manipulation of independent variable; can be descriptive, comparative, or correlational; often uses secondary data).

LEVEL III

Study Findings That Help Answer the EBP Question

Skip to the Appraisal of QuaNtitative Research Studies section

Quantitive Article Analysis