Empirical Studies in Social Science Research Dr.Addelli Ravinder ISBN NO-978-81-939248-5-3
Scientific
research operates at two levels: a theoretical level and an empirical level. The theoretical level is concerned with developing abstract
concepts about a natural or social phenomenon and relationships
between those concepts (i.e., build “theories”), while the
empirical level is concerned with testing the theoretical concepts
and relationships to see how well they reflect our observations of
reality, with the goal of ultimately building better theories. Over
time, a theory becomes more and more refined (i.e., fits the observed
reality better), and the science gains maturity. Scientific research
involves continually moving back and forth between theory and
observations. Both theory and observations are essential components
of scientific research. For instance, relying solely on observations
for making inferences and ignoring theory is not considered valid
scientific research.
Depending
on a researcher’s training and interest, scientific inquiry may
take one of two possible forms: inductive or deductive. In inductive
research, the goal of a researcher is to infer theoretical concepts
and patterns from observed data. In deductive research, the goal of
the researcher is to test concepts and patterns known from theory
using new empirical data. Hence, inductive research is also called
theory-building research, and deductive research is theory-testing
research. Note here that the goal of theory-testing is not just to
test a theory, but possibly to refine, improve, and extend it. Note
that inductive and deductive research are two halves of the research
cycle that constantly iterates between theory and observations. You
cannot do inductive or deductive research if you are not familiar
with both the theory and data components of research. Naturally, a
complete researcher is one who can traverse the entire research cycle
and can handle both inductive and deductive research.
It
is important to understand that theory-building (inductive research)
and theory testing (deductive research) are both critical for the
advancement of science. Elegant theories are not valuable if they do
not match with reality. Likewise, mountains of data are also useless
until they can contribute to the construction to meaningful theories.
Rather than viewing these two processes in a circular relationship.
Perhaps
they can be better viewed as a helix, with each iteration between
theory and data contributing to better explanations of the phenomenon
of interest and better theories. Though both inductive and deductive
research are important for the advancement of science, it appears
that inductive (theory-building) research is more valuable when there
are few prior theories or explanations, while deductive
(theory-testing) research is more productive when there are many
competing theories of the same phenomenon and researchers are
interested in knowing which theory works best and under what
circumstances.
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