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Article Analysis and Evaluation of Research Ethics

Article Citation and Permalink

(APA format)

Article 1

Point

Description

Broad Topic Area/Title

Problem Statement

(What is the problem research is addressing?)

Purpose Statement

(What is the purpose of the study?)

Research Questions

(What questions does the research seek to answer?)

Define Hypothesis

(Or state the correct hypothesis based upon variables used)

Identify Dependent and Independent Variables and Type of Data for the Variables

Population of Interest for Study

Sample

Sampling Method

Identify Data Collection

Identify how data were collected

Summarize Data Collection Approach

Discuss Data Analysis

Include what types of statistical tests were used for the variables.

Summarize Results of Study

Summary of Assumptions and Limitations

Identify the assumptions and limitations from the article.
Report other potential assumptions and limitations of your review not listed by the author.

Ethical Considerations

Evaluate the article and identify potential ethical considerations that may have occurred when sampling, collecting data, analyzing data, or publishing results. Summarize your findings below in 250-500 words. Provide rationale and support for your evaluation.

2Application of AnalysisBy Elissa Torres
Essential Questions

• What are the essential elements in evaluating prior research?
• How does the analysis of quantitative versus qualitative studies differ?
• How are results communicated from data collection and analysis?

Introduction
The use of statistics and statistical analysis is part of the clinical practitioner’s role. This may
appear in different ways from reviewing existing clinical research to participating in a study.
There are some critical questions when understanding statistics and the role of clinician in health
care:

• Why is it important to keep up-to-date on clinical research?
• Why is it important for health care facilities to conduct ongoing studies?
• What type of studies are important?

Previous chapters focused on understanding the elements of statistics and research, including
how to select and conduct hypothesis testing based upon the type of data collected. This chapter
focuses on the application of prior information to understand information written in prior
research studies and set up statistical tests and interpret results both statistically and clinically.

Academic Research Study Extraction
In the evaluation of research articles, it is important that key areas can be identified for
interpretation and understanding. In the review of both qualitative and quantitative research, it
can be daunting to extract the relevant information to determine the primary goals and outcomes
of the study. For clinical studies, this also means addressing the epidemiology.

The simplest way to extract relevant information is to first start with those key areas.

1. Topic: What is the broad topic research area/title?
2. Problem statement: What is the problem that the research is attempting to address? In

many studies, authors identify a lack of research in a specific area or population.
3. Purpose statement: Why did the author complete the study? In some studies, this often

appears in a sentence containing the phrase, “the focus of this study … ”
4. Research questions: What specific questions does the author need to address? In many

articles, this is not explicitly written but can be derived.
5. Hypothesis, variables, or phenomena: What are the variables the author has identified to

address the research goal (quantitative)? How is the phenomena described that the author
seeks to better understand (qualitative)?

6. Sample and location: What was the sample used, and where did the study take place?
7. Methodology: Was the research quantitative or qualitative? Did the author provide any

more details, such as quantitative correlational or qualitative case study?

8. Data collection: How did the author approach data collection? For example, did the
author use surveys, interviews, or clinical studies?

9. Data analysis: What approach did the author use to analyze the data? Did the author
mention statistical tests? What type of statistical data was provid

  
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