European Journal of Education

Running head: HEALTH EVALUATION AND RESEARCH
Approaches towards Public Health Evaluation and Research
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HEALTH EVALUATION AND RESEARCH1
Introduction
The following article describes initiatives that are taken based on the outcomes and
evaluation of researches in the field of Public Health and activities. These processes are
considered as an essential event in the field of Public Health and activities (Mcdph.org,
2020). The research on public health can be done by novel methodologies of qualitative,
quantitative and epidemiological studies.
Qualitative analysis of research is done by taking a data, which is based on a specific
judgment rather than based on the quantifiable information. The analysis based on a quality
data that specifies the strength of a research as it highlights the responses of the core of an
industry or a system which tends to represent the community (Martínez-García et al. 2019).
The quantitative analysis uses the methodologies of statistics and mathematics to understand
and analyse the behavior or the value representation of a specific subject in a community. The
analysis based on such a data tends to express the reality of an organisation or a community
based on a numerical data (Vázquez et al. 2009). The epidemiological research is based on
the delivery for the determination of the risk factors that lie within a community. The analysis
is mostly found in cases of health research programs as it defines the probable relative risk
(RR), hazardous risk (HR), standards of mortality rate (SMR) and standard incidence ratio
(SIR) (Ressing, Blettner, and Klug. 2010).
Analysis and Evaluation of Research Traditions, Philosophies and Methodologies
Traditionally the quantitative data works within a proper structure with a huge amount
of data within the framework. The quantitative tradition shows up with a realistic analysis
within the system by giving value to each entity within the system. The data collected within
the framework is statistically measured and thus explaining the statistic reality. The approach
towards the collection of data considers the phenomenon of the psychological and social

HEALTH EVALUATION AND RESEARCH2
environment by endorsing them while studying the subject. While researching for a
quantitative analysis, the researcher considers the subjects independent of each other and
hence works with a pre-evaluated and standardised data sets, which may have diversified
knowledge, and perspectives which are intended to fit within it. Thus, the philosophy states
that the data set thus prepared for the analysis and evaluation of a health research must
consider each entity as an independent one while carrying out the methods for collecting the
datasets (Yilmaz. 2013).
The qualitative analysis works with a limited dataset, which dignifies the standard of
an entity or an individual within a system. Researches based on quality are much constructive
and helps in exploring the vast reality within a system or framework. Such researches are
much more with description and holistic approach to deliver value to the society. It is a much
more descriptive perspective of the individuals who are served as the data structure for the
analysis. Thus the quality analysis states that how the system is contributing or providing
values to the social experience, hence the analysis helps in constructing a social and
psychological knowledge of the reality. The basic intention of a quality research thus stands
to carry out a reasoning through the inductive process to interpret the contexts, meaning and
understandings. The philosophy of such a research in the healthcare framework states the
quality process of an entity or an individual delivers while working to deliver value to the
society (Yilmaz. 2013).
The conventional epidemiological model involves the evaluation of human
experiences and risk factors and tests their relation to the likelihood that specific diseases
may evolve. In the last decade, the limits of the traditional parade in providing
comprehensive justifications for the occurrence of disease in people and of the health of
populations have been taken into considerable attention despite the development of complex
techniques for measurement and progress in analytic methods. By adapting to these