Article Analysis and Evaluation of Research Ethics Assignment 2022

Article Analysis and Evaluation of Research Ethics
Article Citation and
Permalink
(APA format)
Article 1
Hannigan, A. (2018). Public and patient involvement in quantitative health research:
A statistical perspective. Health Expectations, 21(6), 939-943.
Point Description
Broad Topic Area/Title Public and Patient Involvement (PPI) in quantitative health research
Problem Statement
(What is the problem research
is addressing?)
PPI in quantitative designs and its effect on statistical analysis can be a core area of
research, as it is underexplored.
Purpose Statement
(What is the purpose of the
study?)
To examine the potentiality and challenges of PPI from a statistical point of view.
Research Questions
(What questions does the
research seek to answer?)
How to explore PPI from various aspects of quantitative research (Sampling,
Measurement, and Statistical Analysis)?
Define Hypothesis
(Or state the correct hypothesis
based upon variables used)
PPI varies with the involvement of independent variables discussed below.
Identify Dependent and
Independent Variables and
Type of Data for the
Independent Variables-Health insurance, higher socio-economic, age, ethnic
minorities, personal belief, social context
Dependent variable- PPI
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Variables Quantitative Data
Population of Interest for
Study
Aboriginal Population.
Sample A large sample size.
Sampling Method Randomly selected from the population, by selecting representatives from eight
different locations.
Identify Data Collection
Identify how data were
collected
Collecting representative health data from each location.
Summarize Data Collection
Approach
An ideal sampling frame was identified recruiting representatives from each zone of
Aboriginal people. Health data were collected from representatives of each group.
Discuss Data Analysis
Include what types of
statistical tests were used for
the variables.
Core Outcome Sets (COS) was used to measure the outcomes for a research.
Descriptive statistics for graphical and numerical representation of the data.
Collaborative Precipitatory modeling was used in areas of natural resource
management.
Summarize Results of Study Statistical analysis and quantitative research is done, that successfully included the
underrepresented group of the population. The statistical tools used helped in
advanced learning and comprehensive scientific understanding.
Summary of Assumptions
and Limitations
Identify the assumptions and
limitations from the article.
Report other potential
assumptions and limitations of
There is a limited number of PPI contributors, and the statistical tools used for the
procedure requires further update. The different variables present within the
population resulted in underrepresentation of the whole group. The data collection was
done by selecting representatives from eight different groups. The analysis was done
on the whole population based on the results of representatives only. This can lead to a
faulty result.
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