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Critical Analysis of Research Design and Data Collection
Dr. Nancy Agens, Head,
Technical Operations, Phdassistance
In Brief
Research design talks about the overall
strategy that you choose to logically
integrate the various elements of your
research so to make sure that you deal with
the research issues efficiently. Data
collection for your research has two parts -
Primary Data Collection and Secondary
Data Collection. Primary data collection
can be done from various sources like
workplace, interview, questionnaires, and
expert opinion. Secondary data collection
involves literature review, reports etc.
The methodology of research is the
path through which researchers are required
to conduct their research. It demonstrates the
direction along which these researchers
formulate their questions and goal and
present their result from the data collected
during the time of analysis. In this article,
we should objectively examine the pieces of
the entire cycle of study design and data
collection.
I. RESEARCH DESIGN
The analysis architecture aims to
contain an appropriate structure for a
review. The choice you make with respect to
the research approach is a crucial decision in
the research design process as it says how
related data can be available for a study;
however, the process of research design
engages a number of correlated decisions
(Reay et al., 2019).
This report also uses a concise test
method to focus on the impact of the
workplace protection and risk control
program on the fitness, welfare, and
property harm of workers for chosen
industrial sectors. Descriptive research
shows an precise profile of individuals or
events. This Framework Gives
Researcher’s a human, organizational, and
industry-oriented viewpoint a profile of
defined related aspects of the phenomena of
interest. This research design allowed the
researchers to grab data from a broad range
of respondents on the effect of protection
and health on Ethiopian manufacturing
industries. And this helped evaluate the
feedback gathered on how it impacts the
occupational protection and wellbeing of the
manufacturing sectors.
II. DATA COLLECTION METHODS
The data collection process is based
on the fundamental techniques including
collections of secondary and primary data,
focused on both qualitative and quantitative
data as defined in the previous section. You
can take help of the Research Data
Collection Service.
III. PRIMARY DATA COLLECTION
METHODS
The key origins of primary data are
both qualitative and quantitative (Corti et al.,
2019). The qualitative sources are field
study, questioning, and casual
conversations, whereas those of quantitative
data sources are sample questionnaires and
interview queries. Primary data collection
PhD Research is vital to your research.
● Workplace site observation data
collection
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Observation is a significant part of
science. It is closely related to data
collection, so there are various forms for
this: reports, archival documents, interviews,
direct findings, group findings.
Observational research findings are strong
data because the researcher can gather depth
of information on a particular behavior
(Gregory et al., 2019). The researchers used
observation method as a means to gather
knowledge and details before the design of
the questionnaire and even after work.
Workplace data collection is one of the Best
Primary data collection. In the sample fields,
the researcher made over 20 basic findings
of the manufacturing sectors. It found a
deeper understanding of the working
environment and the various sections within
the production system and OSH practices
during the observations.
● Data collection through interview In-depth qualitative interview with
people deemed to be particularly
knowledgeable about the topic of interest.
Usually, the semi-structured interview is
conducted in a face-to-face setting that lets
the researcher to look for new insights, ask
questions, and evaluate events from different
angles (Baillie, 2019). It allows the
researcher know the depth of dominant
factors and aftermaths of the present work
environment. It has created incentives to
optimize attempts to gather data and to
analyze complex programs or processes.
You can use it when as a researcher; you
face limitations of published document or
want to triangulate the data obtained from
other sources of primary and secondary data.
Interview data collection is one of
the most sought after Methodology
Primary Data Collection .The benefit of
applying interviews as a tool is that it lets
respondents raise issues that may not have
been expected by the interviewer. The
accompanying researcher performed all
interviews with staff, managers, and
technicians on a face-to-face basis at the
workplace.
● Data collection through
questionnaires Questionnaires are the key method
for collecting primary knowledge in
functional testing, provided that the
researcher may agree on the questionnaire
and the types of questions to be asked.
In this thesis, each respondent is
asked to answer an identical list of mixed
questions so that bias was avoided. Initially,
the questionnaire design was coded and
mixed up based on uniform structures from
specific topics. The questionnaire, therefore,
produced valuable data that was necessary to
achieve the goals of the dissertation.
Data obtained from experts’ opinion You can also get data from the
expert's opinion on the knowledge,
management, group effort, and technology
use, including their sub-factors, being
compared. The resultant data was used for
OSH's prioritization and decision-making,
improving factor priorities (Kaverzneva et
al., 2019). The variables prioritization was
done using Saaty scales and then converted
to Fuzzy set values gathered from previous
work using a triangular fuzzy range.
IV. SECONDARY DATA COLLECTION
METHODS
The secondary data relates to data
where anyone other than the consumer
received (Stobaugh et al., 2019). This source
of data gives insights into the current state-
of-the-art method research area. It also
creates some kind of work void where the
researcher wants to fill. Such secondary
sources of data may be internal and external
sources of knowledge and may span a
number of fields.
Literature/desk review and industry
papers and reports: The researcher
conducted excessive document review and
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company reports in both online and offline
modes to attain the goals of the dissertation.
From an analytical point of view, literature
reviews should be interpreted as an
examination of material, where quantitative
and qualitative elements are combined in
order to determine both systemic and quality
parameters.
A Literature Review was carried
out using information references such as
MEDLINE; Emerald; Taylor and Francis
publications; EMBASE ; PsycINFO;
Sociological Abstracts; Papers on Injury
Prevention; US Labour Statistics, European
Safety and Health Information; ABI Inform;
Market Source Premier; The search strategy
focused on articles or reports measuring one
or more of the dimensions within the OSH
model framework for research. This quest
strategy was focused on a structure and
measurement filter strategy established by
the community Collection of Health
Measurement Instruments (COSMIN)
Consensus-based Criteria. Unrelated papers
to the study model and priorities were
omitted dependent on sampling. Prior to
selection, the reviewer (principal
investigator) checked a collection of over
2000 papers, blogs, studies, and
recommendations to decide if they would be
considered for further consideration or
dismissal. Discrepancies were thoroughly
identified and resolved before more than 300
articles began review of the main group.
After deleting the title-based papers,
keywords, and summary, the remaining
publications were checked in-depth, and the
knowledge was collected on the instrument
used to determine the study interest aspect.
A full list of things was then collated within
each target or purpose of the study and
checked to find any missed objects.
V. CONCLUSION
Both Research design and data
collection play crucial roles in research
methodology. Our discussion has critically
analyzed both the aspects and we hope that
it will be of some help to the future
researchers. REFERENCE
[1] Baillie, L. (2019). Exchanging focus groups for
individual interviews during qualitative data
collection: a discussion. Nurse researcher. [Online].
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