Broadly speaking, research
can be done according to two methods identified as:
a) Qualitative research
b) Quantitative research
Qualitative research aims a
better understanding of people´s behavior, their attitudes, their beliefs and
their fears. Its goal is to gather information the way people understand the
world in which we live and to the meaning they attribute to their own experiences.
Data are collected by means of interviews, focus groups, observations, analysis
of documents and speeches.
By the other hand, typical
objective of quantitative research is to count, organize and measure in order
to describe, explain and predict. Quantitative research gathers data in
numerical form for estimating averages, standard errors, confidence levels and
margins of errors, test hypothesis, find patterns of relations between
variables.
Qualitative research can be
done involving only a few people in order, for instance, to collect words or
expressions that were used to describe feelings experienced in a given
situation – such as a huge fire. Following this, a quantitative research should
be done by organizing a questionnaire with the words or expressions collected
during the qualitative research. These would then be applied to a large number
of respondents to compare the statistical distribution of the feelings
expressed by different groups, considering age, sex, social class.
As another example, the
researcher who wants to study the subjective experience of a mental illness
would have to interview several patients and make a detailed analysis of the
facts. But to describe the frequency and distribution of the illness in the population,
the quantitative researcher must collect data of a representative sample of the
population, which means participants selected at random. It follows that the
two research methods are neither opposed nor opponents; on the contrary, they
are complementary.
In some fields, researchers
get involved in actual battles in order to determine the “best” research
method; but the right thing to do would be to study the strategies in parallel.
Qualitative research, as the less structured method, is required when facing
lesser known realities, but in fields where knowledge is deeper, quantitative
research is indicated. Therefore, qualitative research should precede
quantitative research.
But researchers are right
when they say that there is no point in arguing over which of the two is the
most adequate research method. A researcher chooses the method according to the
question he/she intends to answer and completes every job always bearing in
mind that a quantitative study may raise questions that need to be dealt with
by the qualitative method, and vice-versa. Competence of the researcher and a
well designed study count most.
Historically, qualitative
researches are rejected in health fields of study because extremely small
samples sizes; they are not repeatable neither reproducible, so there is a risk
of bias. For this reason they are considered by some as soft science. Anyway,
neither quantitative nor qualitative research method can provide the truth
about everything.
Let us give some examples
where both methods qualitative and quantitative, can be used. Usually, research
on voter´s intentions is done using the quantitative method. The researcher
asks a large number of people the following question, “If the election was
today, who would you vote for?”The percentage of votes for each candidate is
then calculated, with margins of error at a level of significance. Then the
research can declare quite confidently, “If the election was today, X would
probably win.
On the occasion of election
previews, the importance of qualitative research is much commented upon. In
this kind of research, the interviewer would ask people, for example, “What
qualities should a President of the Republic have?” or “What are the country´s
main problems?” and afterwards he or she would analyse the answers.
As another example: in
order to find the answer to the query “Taking into account sex and age groups,
what proportion of smokers has already attempted to stop smoking?” quantitative
research would be needed. The researcher invites people to reply to a
questionnaire. Then he/she calculates the percentages per sex and age group and
makes generalizations within a certain margin of error. This is quantitative
research.
But to find out what
prevents people from giving up smoking, qualitative research is required. The
researcher would first ask the question “Why don´t you stop smoking?” Then,
he/she would have a long conversation with each member of a small group trying
to bring up reasons and opinions. Further analysis of data is fundamental.
As a final example, to find
out what people understand by the legalization of drugs, the researcher would
engage in qualitative research, interviewing a few individuals (about 20).To
discover the percentage of individuals who are favorable to the legalization of
drugs, and the distribution of this percentage by sex, age group, education
level, social and economic levels, and region, the researcher would engage in
quantitative research, interviewing many people (around 2000)
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