| Inductive Reasoning vs. Deductive Reasoning |
Inductive and Deductive Research Approach
Inductive Reasoning:
Inductive reasoning is the act of using specific scenarios and making generalized conclusions from them.
Deductive Reasoning:
Deductive reasoning is the act of making a generalized statement and backing it up with specific scenarios or information.
Trochim refers to two
broad methods of reasoning as the inductive and deductive
approaches. He defines induction as moving from the specific to the general,
while deduction begins with the general and ends with the specific; arguments
based on experience or observation are best expressed inductively, while
arguments based on laws, rules, or other widely accepted principles are best
expressed deductively. Creswell and Plano Clark say that the deductive
researcher “works from the ‘top-down', from a theory to hypotheses to
data to add to or contradict the theory”.
In contrast, they define the inductive researcher as someone who works
from the “bottom-up, using the participants’ views to build broader themes
and generate a theory interconnecting the themes”. In research, the two main types of analysis
typically used are quantitative (deductive) and qualitative (inductive). Though there seems to be some disagreement
among researchers as to the best method to use when conducting research and
gathering data, these two methods are not mutually exclusive and often address
the same question using different methods.
The major difference
between the two methods is centered on how they view the nature of
reality. The quantitative theorists
believe “in a single reality that can be measured reliably and validly using
scientific principles”, while qualitative theorists “believe in multiple
constructed realities that generate different meanings for different
individuals, and whose interpretations depend on the researcher’s lens”. It
is the relationship between the researcher and the participant that
characterizes the disciplines. In
quantitative research, it is believed that researchers should separate
themselves from the participants while qualitative researchers are aware that
the relationship between the researcher and the participant is important in the
understanding of the observable event.
In addition, quantitative researchers believe that “research should
be value-free,” while the qualitative researcher understands that “the
research is influenced to a great extent by the values of the researcher”.
Despite the many
differences, Onwuegbuzie and Leech contend that there are many similarities
between the two orientations. They
propose replacing the terms qualitative and quantitative with exploratory and
confirmatory to more clearly reflect the relationship between the two
methodologies. The methods may be different but the goals remain the same and
Onwuegbuzie and Leech worry that the separation of the two paradigms can lead
students in graduate school to become “one-dimensional with regards to
their knowledge of the research process”. They go on to say that “we
continue to prepare students for an ‘either-or’ world, a dichotomous world,
that no longer exists”. Onwuegbuzie and
Leech suggest that “those who teach social and behavioral research
methodology have to stop identifying themselves as qualitative or quantitative
researchers”. The method chosen
should depend in large part on what the research question was, what one wants
to know, and how they determine they will arrive at that knowledge. According to Trochim, the context, purpose,
and types of research questions asked will define the methodological
foundations of a study. Both methods include the use of research questions
that are addressed through some type of observation. The observations in
either method will lead the researcher to question why what they observed
happened. Another similarity is how the two paradigms interpret data. Both use
some form of analysis to find the meaning and employ techniques to verify the
data.
The intent of the research
is typically expressed in the form of a purpose statement or the guiding
objectives of the study. In quantitative
research, the intent is usually to test theories deductively searching for
evidence to either support or to refute the hypothesis, while qualitative
researchers gather information from individuals to identify themes that
allow them to develop theories inductively.
For quantitative
researchers, the literature review plays a major role in justifying the
research and identifying the purpose of the study. The literature can be used to identify the
questions to be asked and to inform the hypotheses. Literature reviews in quantitative research
are more comprehensive and more detailed than is the case in qualitative
research. In qualitative research,
the literature review is used to provide evidence for the purpose of the study
and to identify the underlying problem that will be addressed by the
inquiry. The literature review is
typically brief and does not usually guide the research questions to the same
extent as literature reviews in quantitative research do. This is done to ensure that the literature
does not limit the types of information the researcher will learn from the
participants.
The intent of a study
and the literature review helps to narrow the hypotheses and research questions.
In quantitative research, the intent focuses on pointed, close-ended
questions that test specific variables that derive from the hypotheses. The researcher tests these hypotheses in an
attempt to support or refute the relationship statements in the theories. In qualitative research, the intent is
to learn from the participants.
Therefore, the questions tend to be open-ended to permit the complexity
of a single idea or phenomenon to emerge from the participants’
perspectives. The researcher often
focuses on a single phenomenon to gather as much information as possible about
that particular phenomenon.
In quantitative
research, data can be collected from many participants at many research sites.
Researchers rely on gathering information either by sending or administering
testing instruments to participants. Data is usually collected through the use
of numbers that can be statistically analyzed. In qualitative research, the
words and images of a few participants collected at their respective research
sites, are recorded by the researcher.
The quantitative
researcher believes in maintaining an objective approach to the experiment
by remaining in the background. Steps
are taken to ensure that any preconception is minimized so that the information
gathered is not contaminated by the personal beliefs of the researcher. In contrast, qualitative researchers identify
their personal stance with regards to how their experiences and backgrounds
shape the interpretations they make through the coding and theme process.
It is important to
establish validity regardless of which research methodology is employed. Quantitative
research relies on using validity procedures based on external standards,
such as judges, past research, and statistics.
Validity does not rely on the participants as much as it relies on the
evidence that supports the interpretation of the test scores. Qualitative
researchers are interested in the accuracy of the final report. They use
various methods, to ensure accuracies such as member-checks (where the
participants get to review their comments), or the use of many sources to
verify a theme. Qualitative validity procedures
rely on the participants, the researcher, or the reader.
Which method to use
while conducting Research:
Creswell points to the
importance of considering three factors to determine the method of research
that is appropriate for any particular study. These are:
1)
Match the approach to the research problem: a quantitative approach is best suited
to problems in which trends or explanations need to be made. Qualitative problems are those that
need to be explored to obtain a deep understanding.
2)
Fit the approach to the audience: it is important to remember who the
intended audience is who will read and possibly use the findings from a study.
3)
Relate the approach to the researcher’s experiences: the method chosen
must relate to the researcher’s personal experiences and training. Conducting research in either method requires
skills in conceptualizing research, conducting research, and writing the study.
A quantitative researcher will have taken some courses or training in
measurement, statistics, and quantitative data collection approaches such as
experimental, correlational, or survey techniques. Qualitative researchers
need experience in field studies in which they practice gathering information
in a setting, and learn the skills of observing or interviewing
individuals. Course work or experience
in analyzing text data is also helpful.
Conclusion
Deductive
reasoning uses facts and theories to reach a conclusion. In inductive
reasoning, the conclusion is used to make generalizations of facts and theories.
Inductive reasoning starts with the conclusion
and then considered the specific facts while Deductive reasoning starts
with premises and then reaches a conclusion. Deductive reasoning is
less as compared to inductive reasoning in the real world in terms of use. In inductive reasoning, the arguments used can be of two types
i.e. strong argument or weak argument, while in deductive reasoning, the
arguments used can be either invalid arguments or valid arguments. Many
scientists conducting a larger research project begin with an inductive study
(developing a theory), and the inductive study is followed up with deductive
research to confirm or invalidate the conclusion.
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