The Difficulty of Applying Scientific Methods
in Social Science Research
Social
science is by no means an exact science. Hence, it is not always possible to
conduct investigations that are totally scientific. There are difficulties
inherent in applying scientific methods in social science. This is
primarily because of problems you are likely to encounter in the measurement
and collection of data in the subjective areas of feelings, emotions, attitudes,
and perceptions. Laboratory conditions cannot be created as done in natural and
physical sciences and investigations cannot be undertaken in a controlled
environment. Problems crop up whenever you attempt to quantify human behavior.
You might also encounter difficulties in obtaining a representative sample,
which would restrict the generalizability of the findings. Therefore, research
has to be undertaken in social settings where conditions remain uncontrollable.
Scientific research is, therefore, not possible in every social science study
where the "laboratory" is the wider society and it is extremely
difficult to control all the variables.
In spite of the difficulties encountered in
bringing scientific principles to the complex areas of social science, success
is gradually being achieved. The evolving sophistication in research techniques
and methodologies is an important contribution to the use of scientific methods
in social science. As a result, many of the difficulties are being reduced as
more comprehensive research techniques develop. However, there are many areas
or dimensions of social science, where the application of scientific research
methods is not possible. The difficulties, which are commonly encountered by
the researchers in social science, are as follows:
The complexity of Subject Matter
Social Science basically deals with human beings. Humans are
different from each other in their activities, attitudes, motives, beliefs, and
values. Hence, social science is a very complex and varied subject. There are
almost infinite numbers of uncontrollable variables in social science. You
must, therefore, try to measure the influence of one variable upon another in
such an uncontrollable environment. Human behavior is so complex that it is
virtually not possible to develop an accurate science able of explaining all of
them. For example, the question that is still not fully answered despite so
much research work being done is: why people behave the way they do?
Different research studies give different explanations to this question. Still,
these explanations are far from being adequate. There are many other areas in
social sciences, which pose particular difficulties to you in exploring and
explaining their dynamics scientifically.
The difficulty of Obtaining Accurate Measurement
The scientific method demands precise and accurate measurement. In
social science, this type of precise measurement is time and again quite
difficult. Human attitudes and opinions or motives cannot be accurately
measured. You may also face difficulty in translating the real meaning of
such words as "likes" or dislikes". It is also difficult to ascertain
the honesty of the respondents. Many relatively sophisticated techniques have been
developed to enhance the accuracy of your attempts to measure human responses. You
may use different scales to measure the relative strengths of respondents ' preferences,
but the process of accurately measuring human attitudes is still full of pitfalls.
No legitimate research technique can guarantee that respondents will tell the truth
(McGown, 1989).
Influence of the Measurement Process on Results
The respondents, when they know that they are being observed and
measured, often tend to react other than normal. A classic example of the
process of measurement influencing the results is the case that gave the
"Hawthorne Effect" its name. Elton Mayo at the Hawthorne Plant of the
Western Electric Company conducted studies in order to determine the effect of
lighting on the output of a group of workers involved in assembling electrical components.
First, the lighting was increased substantially and worker productivity also
increased. Later the light was reduced, and the output increased still more. In
this experiment, the real issue was that the process of measurement had
influenced the results. People, knowing that they were being measured, responded
in unusual ways. In social science research the Hawthorne Effect occurs when, for
example, interviewees answer questions in a manner they think will please the
researcher.
The difficulty of Using Experiments to Test Hypotheses
Establishing and testing hypotheses are the
key components of the scientific method. In pure sciences, it is possible to
establish meaningful laboratory conditions in which the researcher may control
all the variables, allow one to fluctuate, and then measure the results.
However, the wider society is not a laboratory, and you may face the virtually
impossible task of establishing a controlled environment in which to conduct your
measurement. Replication - reproducing the same experiment again and again -
cannot be carried out completely in social science research Social phenomena
are less repeatable than natural phenomena. Activities of human beings, their behavior,
the weather, the social setting are all factors that typically are beyond the
control of the researcher in such cases (McGown, 1989). They make it difficult
to test meaningfully hypotheses developed for research purposes.
The difficulty of Making Accurate Predictions
Accurate prediction, which is a vital step in
scientific research, is not always possible in social science research. In a laboratory
experiment, the scientist can predict with a great deal of precision the
behavior of a dog. However, predicting the behavior of voters in the election is
not nearly so exact a science. As the social sciences are integrally interwoven
with the social fabric, they present a different situation. Consequently, accurate
prediction is more difficult in economics, business, politics, and education than
in astronomy or physics. You may face many obstacles in accurately predicting future
economic conditions, social mobility, market demand, consumer behavior, and so
on. Too many things can happen between the prediction and the actual behavior for
predictions to be made with a high degree of accuracy (McGown, 1989 ).
Problematic Objectives of the Investigator
Securing objectivity is the vital condition
for scientific research. Scientific research demands impartiality and objective
reporting of data. However, in social science research, the investigator often
may not be impartial. Many times research is conducted merely to substantiate
or "prove" what the client wants to hear. Sometimes, bias may be
unconscious. During the interviewing process, researchers may cause bias
through the wording of questions or the use of leading questions. This problem
can become particularly acute when investigators in the field are relatively
untrained and, therefore, ignorant of the bias they may be unconsciously
introducing in the interviewing process (McGown, 1989). The answer to this
problem lies in better selection and training of data collectors.
These problems encountered in applying the
scientific methods in social science research are presented here, not to
discourage the use of this method, but to familiarize you with the difficulties. Awareness
of these problems should allow you to take corrective actions. You must try to overcome
these obstacles if you hope to make a meaningful contribution to your field of
study.
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