Prepare a critical analysis of a quantitative study focusing on protection of human participants, data collection, data analysis, problem statement, and interpretation of findings. Use Nursing...
Prepare a critical analysis of a quantitative study focusing on protection of human participants, data collection, data analysis, problem statement, and interpretation of findings. Use Nursing current research article not more than 5 years old.
Refer to the resource Research Critique, Part 2. Below. Questions under each heading should be addressed as a narrative, in the structure of a formal paper.
Research Critique, Part 2
To write a critical appraisal that demonstrates comprehension of the research study conducted, respond to each of the questions listed under the headings below. Do not answer the questions with a yes or no; rather, provide a rationale or include examples or content from the study to address the questions.
CRITICAL APPRAISAL GUIDELINES: QUANTITATIVE STUDY
Protection of Human Participants
- Identify the benefits and risks of participation addressed by the authors. Were there benefits or risks the authors do not identify?
- Was informed consent obtained from the subjects or participants?
- Did it seem that the subjects participated voluntarily in the study?
- Was institutional review board approval obtained from the agency in which the study was conducted?
- Are the major variables (independent and dependent variables) identified and defined? What were these variables?
- How were data collected in this study?
- What rationale did the author provide for using this data collection method?
- Identify the time period for data collection of the study.
- Describe the sequence of data collection events for a participant.
Data Management and Analysis
- Describe the data management and analysis methods used in the study.
- Did the author discuss how the rigor of the process was assured? For example, does the author describe maintaining a paper trail of critical decisions that were made during the analysis of the data? Was statistical software used to ensure accuracy of the analysis?
- What measures were used to minimize the effects of researcher bias (their experiences and perspectives)? For example, did two researchers independently analyze the data and compare their analyses?
Findings / Interpretation of Findings
- What is the researcher’s interpretation of findings?