Research problem & research design

RESEARCH PROBLEM
&
RESEARCH DESIGN
Dr. S. BELLARMIN DIANA
ASSISTANT PROFESSOR
DEPARTMENT OF MANAGEMENT STUDIES
BON SECOURS COLLEGE FOR WOMEN, THANJAVUR

RESEARCH PROBLEM
MEANING
It refers to some difficulty which a researcher experiences in the context of either theoretical or
practical situation and wants to obtain a solution for the same. A research problem can be simply
defined as a statement that identifies the problem or situation to be studied.
In research process, the first and foremost step happens to be that of selecting and properly defining
a research problem. A researcher must find the problem and formulate it so that it becomes
susceptible to research. Like a medical doctor, a researcher must examine all the symptoms
(presented to him or observed by him) concerning a problem before he can diagnose correctly.
A research problem is a specific issue, difficulty, contradiction, or gap in knowledge that you will
aim to address in your research. You might look for practical problems aimed at contributing to
change, or theoretical problems aimed at expanding knowledge.
In simple words, a research problem is a statement about an area of concern, a condition to be
improved, a difficulty to be eliminated, or a troubling question that exists in scholarly literature,
in theory, or in practice that points to the need for meaningful understanding and deliberate
investigation. In some social science disciplines the research problem is typically posed in the form
of a question.
COMPONENTS OF RESEARCH PROBLEM
• An individual or a group with some difficulty or problem
• Objectives of research that are to be attained
• The environment in which the problem exists
• Two or more course of action or alternative means for obtaining the objective
• Two or more possible outcomes
SOURCES OF RESEARCH PROBLEM

Identifying a problem to study can be challenging, not because there is a lack of issues that
could be investigated, but due to pursuing a goal of formulating a socially relevant and
researchable problem statement that is unique and does not simply duplicate the work of others.
To facilitate how you might select a problem from which to build a research study, consider
these three broad sources of inspiration:
Deductions from Theory
This relates to deductions made from social philosophy or generalizations embodied in life in
society that the researcher is familiar with. These deductions from human behavior are then
fitted within an empirical frame of reference through research. From a theory, the research can
formulate a research problem or hypothesis stating the expected findings in certain empirical
situations. The research asks the question: “What relationship between variables will be
observed if theory aptly summarizes the state of affairs?” One can then design and carry out a
systematic investigation to assess whether empirical data confirm or reject the hypothesis and
hence the theory.
Interdisciplinary Perspectives
Identifying a problem that forms the basis for a research study can come from academic
movements and scholarship originating in disciplines outside of your primary area of study. A
review of pertinent literature should include examining research from related disciplines,
which can expose you to new avenues of exploration and analysis. An interdisciplinary
approach to selecting a research problem offers an opportunity to construct a more
comprehensive understanding of a very complex issue than any single discipline might
provide.
Interviewing Practitioners

The identification of research problems about particular topics can arise from formal or
informal discussions with practitioners who provide insight into new directions for future
research and how to make research findings increasingly relevant to practice. Discussions with
experts in the field, such as, teachers, social workers, health care providers, etc., offers the
chance to identify practical, “real world” problems that may be understudied or ignored within
academic circles. This approach also provides some practical knowledge which may help in
the process of designing and conducting your study.
Personal Experience
Your everyday experiences can give rise to worthwhile problems for investigation. Think
critically about your own experiences and/or frustrations with an issue facing society, your
community, or in your neighborhood. This can be derived, for example, from deliberate
observations of certain relationships for which there is no clear explanation or witnessing an
event that appears harmful to a person or group or that is out of the ordinary.
Relevant Literature
The selection of a research problem can often be derived from an extensive and thorough
review of pertinent research associated with your overall area of interest. This may reveal
where gaps remain in our understanding of a topic. Research may be conducted to: 1) fill such
gaps in knowledge; 2) evaluate if the methodologies employed in prior studies can be adapted
to solve other problems; or, 3) determine if a similar study could be conducted in a different
subject area or applied to different study sample [i.e., different groups of people]. Also, authors
frequently conclude their studies by noting implications for further research; this can also be a
valuable source of problems to investigate.
Previous Experience: A body of knowledge should be developed on a sound foundation of
research findings. Usually at the end of a research further research problems are suggested, based
on the shortcomings of previous research, which can be investigated. Existing theories: Research
is a process of theory development & theory testing. It an existing theory is used in developing a
researchable problem, a specific statement from the theory must be isolated. Generally, a part of
parts of the theory are subjected to testing in the clinical situation. Social issues: Sometimes, topics
are suggested by more global contemporary social or political issues of relevance to the health care
community. For example, HIV/AIDS, female foeticide, sexual harassment, domestic violence, &
gender equality in health care & in research are some of the current social & political issues of
concern for health care professionals.
Brainstorming: Brainstorming sessions are good techniques to find new questions, where an
intensified discussion among interested people of the profession is conducted to find more ideas
to formulate a good research problem. For example, ideas for studies may emerge from reviewing
research priorities by having brainstorming session with other nurses, researchers, or nursing
faculties. Intuition: Traditionally institutions are considered good sources of knowledge as well as
sources to find new research problems. It is believed that reflective mind is good sources of ideas,
which may be used to formulate a good research problem. Folklores: Common beliefs could be
right or wrong. For examples, it is generally believed that studying just before the test decrease the

score. Researchers can conduct a research study on whether one should study before the test or
not.
Exposure to field situations: During field exposure, researchers get variety of experiences, which
may provide plenty of ideas to formulate research problems. For example, while working in field
a researcher observed a specific traditional practice for cure of disease condition, which can be
used as research problem to investigate its efficacy. Consultation with experts: Experts are
believed to have sound experience of their respective field, which may suggest a significance
problem to be studied. In addition, expert may help in finding a current problem of discipline to
be solve, which may serve as basis for formulation of research problem.
CRITERIA FOR SELECTION OF RESEARCH PROBLEM.
There are some suggestion for the graduate students and researchers which are drawn from the
different areas of education, social sciences as well as psychology. There are two factors in the
selection of topic external and personal. External criteria involves how the topic is important for
the field, availability of both data and data collection methods and the administration is cooperative
or not. Personal Criteria means researcher own interest, time and cost. Criteria for selection of
research problem depends on the following characteristics.

Personal Inclination. The chief motivation in the way of selecting research problem is the
personal inclination of the researcher. If a researcher has personal interest in the topic, he would
select that problem for his research work.
Resources Availability. During the selection, a researcher will see to the resources available. If
these resources like money, time, accommodation and transport are available to the selection place,
then the selection of the problem is easy.
Relative Importance. The importance and the problem also play a vital role in the selection of
research problem. If the problem is relatively important, then the researcher tends towards the
selection of the problem.
Researcher Knowledge. The researcher knowledge should play a vital role in the selection of the
research problem. The wisdom and experience of an investigator is required for well collection of
the research data. He can bitterly select a problem.
Practicality: Practicality is also responsible for the selection. The practical usefulness of the
problem is the main motivation for a researcher to attend it.
Time-lines of the Problem. some problems take little time for its solution while others take more
time. So, it depends on the time in which we have to complete his research work.
Data Availability. If the desired data is available to the researcher, then the problem would be
selected.
Urgency. Urgency is a pinpoint in the way of the selection of research problem. Urgent problem
must be given priority because the immediate solution can benefit the people.
Feasibility. Feasibility is also an important factor for the selection of the research problem. The
researcher qualification, training and experience should match the problem.
Area Culture. The culture of the area for which a researcher conducts his research is also
responsible for the selection of research problem.
Characteristic of Research Problem
• Any research is a difficult task to achieve and research needs to do a great effort. Selection
of research topic is the first step to success.
• Research topic must be very clear and easy to understand. It should not distract people.
• If a topic is well define is the only way to successful research. The topic should not create
doubt and double impression.
• Easy language is a key to success. Use technical words if necessary otherwise focus of
simplicity.
• Research title should be according to the rules of titling. There are different rules of titling,
a researcher must aware before writing a research title.
• While selecting a research topic current importance of a researcher should also be
considered. Topic should not be obsolete and it should have great importance in the current
day

Research problem & research design

The Importance of Formulating a Research Problem
There are several benefits of formulating a research problem. The actual research begins with the
formulation of a research problem. It makes you well aware of the tasks that you have to perform
in order to accomplish the research. Research is a process that you have to complete in a sequence.

A research problem helps you formulate that sequence. Research problem also helps you avoid
unnecessary steps during the research.
• A research problem is the preliminary step in conducting a research study. A research
problem helps you understand the research procedure in a better manner. Most beginners
in research think that a research problem is easy to formulate but in reality it is not so. A
research problem needs great thought on the part of the researcher in order to formulate a
scientific research problem. A scientific research problem is one that can be solved using
scientific procedures.
• In actual the purpose of the research problem is to determine the objective and intention of
the research, in the absence of an aim or objective you cannot determine the research
methodology. A research problem can help you identify each and every step of the research
process: the study design, sampling strategy, and research instrument and research analysis.
• The research problem should have great clarity since the research process in itself generates
more questions. In the absence of a clear and well defined research problem the researcher
can become confused. In addition the research question or research problem should have
to be interesting so that the researcher become well engaged in the research. The passion
of the researcher in conducting the research matters a lot in the research.
• The research problem should have to be manageable within your resources, otherwise it
will become difficult for you to undertake it. You should know about the time, energy and
money that you have in order to design a manageable research.
RESEARCH DESIGN
Meaning and Definition of Research Design:
Once the research problem is formulated, a specific topic is assigned and the hypothesis is
formulated, the next stage is to work out a research design. Preparing research design is an
important stage in the process of conducting a research.
Kerlinger defines a research design as “the plan, structure and strategy of investigation
purporting to answer research questions and control variance.”
The term ‘plan’ implies the overall scheme or program of the research embracing on outline
of what the researcher intends to do, ranging from the stage of formulation of hypotheses
and their working implications to the final stage of data analysis. The term ‘structure’
intends to define the research study in a more specific way as the outline. The term
‘strategy’ is used in a more specific way than ‘plan’ and involves the methods and
techniques for collection of data and their analyses so as to achieve the precise research
objectives.
Research design is the conceptual structure within which research is conducted. It
constitutes the blueprint for the collection, measurement and analysis of data.

A research design is the arrangement of conditions for collection and analysis of data in a
manner that aims to combine relevance to the research purpose with economy in procedure.
Claire Seltltiz and others
A research design is the logical and systematic planning and directing a piece of research
Pauline .V .Young
Basic Purposes of Research Design:
From what has been stated above, we can derive two basic purposes:
(a) To provide answers to the research questions,
(b) To control variance. Indeed, these research purposes are achieved by the researcher
himself, not by the research design.
As regards the first purpose, a research is designed to enable the researcher to arrive at an
objective, accurate, valid and economic solution of the given problem to the maximum
possible extent. Since scientific research begins with a provisional supposition in the form
of a hypothesis, the major purpose of the design is to provide the research with a valid test
of the hypothesis on the basis of empirical evidence obtained by the researcher by utilizing
the least amount of money, manpower and time and maximum possibility of its being
approved by other investigators engaged in the given area of investigation.
By providing a sort of blue print for the variation of hypothesis, presuming the relation
between two or more variables on the basis of empirical facts and by directing the process
of observation in terms of determining the facts relevant to the research problem, how and
where to look for them and how many observations to make, the research design becomes
indispensable on the part of any researcher in scientific investigation.
Furthermore, it also indicates whether or not the variables of the research are to be
manipulated or selected, what specific values of the manipulated or selected variables are
to be utilized in the scientific investigation, how a conceptual variable can be converted
into observable facts.
Research design also makes specification of the method to be adopted for manipulation of
the independent variable and for measurement of the dependent variable along with
suggesting the ways by which the collected data for research are to be analyzed and
determining the level of statistical analysis appropriate to the research situation.
“The design of an experiment and its analysis are interrelated. Indeed it is often said that
one should not do an experiment without knowing how it is to be analyzed.” This statement

of Riecken and Boruch not only applies to experimental design, but also holds good for all
kinds of designs of research.
The second purpose of research is to control the effects of the potentially relevant
independent variables on the behaviour of the research subjects. It merely facilitates the
process of obtaining answer to relevant questions in the research study and enables the
investigator to exercise control over experimental, extraneous and error variances
pertaining to the particular research problem being studied.
The validity of the research findings would be affected if these variables are not controlled.
In a real world, any observed event of behaviour is influenced by a multiplicity of facts and
events. The behaviour, being “a real world event involving overt or covert responses by
one or more actors to a task or situation” and task being “any impending sequence of acts
guided by a goal” both behaviour and task involve a complexity of events. Each of these
may be used as an independent variable.
Of course, consideration of a variable as an independent one depends upon the researcher’s
interest or the nature of the research problem. For example, job satisfaction, educational
achievement, individual production, restriction of birth rate and similar other effects are
explainable on the basis of the influence of a number of related or unrelated facts and
events.
But it is not possible to incorporate each one of these variables within the same research
undertaking. On the contrary, a researcher must keep himself restricted only to a limited
number which are used as the more explicitly relevant variables in a given research. If they
happen to be active variables, their values are deliberately changed and thereby they are
manipulated in order to be controlled.
PARTS OF RESEARCH DESIGN
• SAMPLING DESIGN-It deals with the method of selecting items to be observed for the given
study
• OBSERVATIONAL DESIGN-It deals with the condition under which the observations are to
be made
• STATISTICAL DESIGN- It is concerned with the question of how many items are to be
observed and how information and data are to be analyzed
• OPERATIONAL DESIGN- It deals with the techniques by which the procedure specified in the
sampling, statistical and observational designs can be carried out.

NEED FOR RESEARCH DESIGN
 It may result in the preferred kind of study with helpful conclusion.
 It cuts down on inaccuracy.
 Allows you get optimum efficiency and reliability.
 Reduce wastage of time.
 Reduce uncertainty, confusion and practical haphazard related to any research problem.
 Great help for collection of research material and testing of hypothesis.
 It is a guide for giving research the right path.
 Gets rid of bias and marginal errors.
 Provides an idea concerning the type of resources needed in terms of money, effort, time,
and manpower.
 Smooth & efficient sailing (sets boundaries & helps prevent blind search)
 Maximizes reliability of results.
 Provides firm foundation to the endeavor.
 Averts misleading conclusions & thoughtless useless exercise.
 Provides opportunity to anticipate flaws & inadequacies (anticipates problems).
 Incorporates by learning from other people’s critical comments & evaluations.
Research design is needed because it facilitates the smooth sailing of the various research
operations, thereby making research as efficient as possible yielding maximal information
with minimal expenditure of effort, time and money.
Research design stands for advance planning of the method to be adopted for collecting the
relevant data and the techniques to be used in their analysis, keeping in view the objective
of the research and the availability of staff, time and money.
PROPERTIES OR CHARACTERISTICS OF A GOOD RESEARCH DESIGN
In the view of various definition of research design, the following characteristics are found.
1. A good research design is an ethical research design;
2. A good research design is one that is capable of obtaining the most reliable and valid
data;
3. A good research design is one that is capable of measuring any odd events in any
circumstances;
4. A good research design is one that helps an investigator avoid making mistaken
conclusions;

5. A good research design is one that can adequately control the various threats of validity,
both internal and external.
A good research design should always fulfill the following four conditions; objectivity, reliability,
validity and generalizability of the findings.
(a) Objectivity: (impartiality)
The findings are said to be objective when they pertain to the method of data collection and the
scoring of the responses. The objectivity in respect of the procedure may be judged by the degree
of agreement between the final scores assigned to various persons by more than one independent
observer. The more the agreement among the observers the more objective are the observation,
recording and evaluation of the responses. Therefore, a good research design should permit fairly
objective measuring instruments in which every observer visualizing a performance comes to the
same conclusion.
(b) Reliability:
The question of reliability of knowledge is usually raised when the presence of a problem arouses
in the knower a demand, not only for something more than mere conjecture, but for something for
which it shall be useful in a given situation and perhaps in other similar situations. Reliable
knowledge means any claim that is substantiated as trustworthy for a given purpose.
(c) Validity:
Validity implies self-consistency or absence of self-contradiction. It is identified with formal truth
or self-consistency. A valid reasoning conforms to the rules of correct reasoning. It is that type of
reasoning where conclusions automatically follow from the premises legitimately.
(d) Generalizability:
The degree of generalizability is known in terms of the replicability and reproducibility of the
findings in spite of different measures and settings respectively.
Elements of Research Design:
(a) Selection of Research Problem:

As regards the selection of topic for research, anything that is social and empirical is a
relevant problem for social research.
The factors which affect the decisions on selection of topic in social sciences are :
(i) The structure and state of a discipline
(ii) Social problems
(iii) Other determinants like the availability of grants for particular themes, the popularity
and prestige of the particular area ‘of research, public interest and motivation of the
researcher etc., and
(iv)Practical considerations.
(b) Selection of Units of Analysis:
Determination of the units of analysis is a key factor in social research. In general, the
purpose of the study dictates the selection of the appropriate unit of analysis. The objects
or events or entities under investigation are referred to as units of analysis in social
sciences.
(c) Choice of Variable:
Since a social scientist is primarily interested in studying the relationship among some
characteristics or properties of the observed units which are subject to variation over cases,
over time or over both cases and time, it is necessary for a researcher to decide which
variables should be the focus of research. Explanatory variables are known as the variables
under focus. They are of two types dependent and independent. The former one is the
variable the researcher is interested in explaining and predicting. Dependent variable is the
presumed effect. The independent variable is the presumed cause.
The extraneous variables are those which are not the direct focus of research. Those are of
two types: controlled and uncontrolled. The controlled variables are held constant or
prevented from varying during the course of observation. Apart from the above
classification of the variables, a typology of quantitative and qualitative variables is also
made. Whereas a quantitative variable implies values or categories consisting of numbers,
qualitative variables represent certain qualities, attributes or discrete categories.
(d) Identification of Relationship:
In real terms, very many social researchers directly aim at developing and testing
relationships, apart from gaining familiarity of a phenomenon or description of

communities or groups or exploration of a situation or event. However, on the whole,
research findings largely depend on particular anticipated relationships. Therefore,
identification of the anticipated relationship and the guiding theoretical premises assume
greater importance.
(e) The Nature of Causal Relationship:
Causal relationships constitute the heart of scientific understanding. These are very much
required for purposes of explanation and prediction. In order to establish causality, the
social scientists take help of three types of evidence: association, direction and non-
spuriousness.
Statistical association, such as a pattern of change in one variable is related to the other
variable, indicates that former is the cause. Causal relationships are determined in terms of
strong and weak associations. Another criterion required for establishing a causal
connection between events is that the direction of influence should be from cause to effect.
In other words, cause must precede its effect.
The third criterion needed to establish a causal relationship between events is non-
spuriousness which implies that in order to inter a causal relationship from an observed
correlation there should be sufficient reason to believe that no hidden factors have
contributed to a spurious relationship. Ideally, the researcher must show that the connection
between the variables is held constant.
(f) Operationalization of Concepts:
Since concepts serve a number of important functions, clarity and precision in the usage of
concepts are to be achieved by definitions which must contain the distinctive characteristics
or qualities of the phenomenon under investigation.
Concepts, in order to be operationally existent, should be established through operational
definitions which are instrumental in specifying the contextual meaning of concepts and
providing the framework of their application. Briefly stated, the operational definitions
serve as a link between the conceptual theoretical level and the observational empirical
level.
(g) Formulation of Hypothesis:
In order to state the research questions in a precise manner so as to give clear indication of
what is to be observed and what kind of information will be gathered, the research questions
must be stated in the form of hypotheses. Hypotheses are tentative generalizations which
are expected but based on unconfirmed relationship between two or more variables.

Types of Research Design:
(i) Exploratory or Formulative Design:
The main purpose of exploratory study is to gather information which will help in future
for formulation of a precise research problem. On the basis of the collected facts the
researcher may be able to formulate sound hypotheses for further research. It may also
enable the researcher to get himself acquainted with the phenomena which he expects to
investigate at a later stage. The aim of an exploratory or formulative study may be
clarification of concepts, establishing priorities for future research and collection of data
about the actual conditions which affect an intended research.
Requirement of Exploratory Design:
The essentials for exploratory or formulative design are:
(a) Review of pertinent literature
(b) Experience Survey
(c) Analysis of Insight Stimulating cases.
(a) Review of pertinent literature:
While proceeding in the path of research the researcher has to take help from the work
already done by his predecessors. By doing so, he will not only save himself from the
problem of trial and error but also minimize the expenditure of his energy. Apart from
reviewing available literature pertaining to the problem under investigation, the researcher
may also take into account the literature pertinent to analogous problems.
(b) Experience survey:
Because of the complicated nature of social problems, the researcher is not in a position to
collect all the required materials about a particular problem from one place. At times the
researcher has to contact the persons who have earned enough of experience to understand
and analyze the social reactions. The researcher should take advantage of their experience
in a very intelligent manner.
Taking good advantage of the experience of the persons involves the following steps:
(i) Selection of respondents:

Formulation of a correct exploratory design requires that the investigator should make
proper selection of the respondents. For this purpose he should select only those
respondents who are dependable and who have actual knowledge regarding the problem
under investigation.
The selection of the respondents may be made either directly or indirectly. In direct
selection the investigator chooses those persons who are well known for their knowledge
in the problem area. In case of indirect selection the investigator chooses those persons
who are indirectly concerned with the problem. Hence, the selection of the respondents
should not be confined to a particular group; rather it should be many sided.
(ii) Questioning of the respondents:
Proper questioning of the respondents ensures relevant information. Therefore while
framing the questions, due attention should be given on clarity of concepts. For this
purpose, the investigator should consult the books and the relevant portions of the
bibliographical schemes adequately.
(c) Analysis of insight stimulating cases:
Analysis of insight stimulating cases includes all those events, incidents and phenomena
that stimulate the researcher. Such cases invoke in the investigator the thinking regarding
the formulation of the hypotheses. In this regard, the attitude of the investigator, intensity
of the case study and integrative power of investigators appear to be very important.
As regards the attitude of the investigator, receptivity and sensitivity are needed. These
qualities enable the investigator to take stock of various developments occurring in his field
of study and make steady progress.
Intensive case study involves studying the subject matter in all its dimensions and
verifications, in the background of history.
In this regard, the groups, the community and groups of individuals may be treated as the
units of study.
Integrative power of the investigator is considered important because on that basis he is
able to collect even the minutest possible information regarding the subject matter. What
appears significant, in this regard, is his attention on new observations rather than on
experimentation.

(ii) Descriptive Research Design:
The purpose of descriptive type of design is to describe some event, situation, people, group
or community or some phenomena. Fundamentally, it is a fact finding exercise which
focuses on relatively far dimensions of a well defined entity, aiming at precise and
systematic measurement of some dimensions of a phenomenon.
Usually a descriptive design involves detailed numerical descriptions, such as distribution
of the population of a community by age, sex, caste or education. The researcher may also
take recourse to descriptive design for estimating the proportion of people in a particular
geographical locality in respect of their specific views or attitudes.
However, the procedure followed in descriptive design is broadly analogous,
notwithstanding the differences evinced in their field, formulation of hypotheses,
objectives, for treatment of the problem and in matters of field expansion.
(iii) Diagnostic Research Design:
Being concerned with the express characteristics and existing social problems, the
diagnostic research design endeavors to find out relationship between express causes and
also suggests ways and means for the solution. Thus, the diagnostic studies are concerned
with discovering and testing whether certain variables are associated. Such studies may
also aim at determining the frequency with which something occurs or the ways in which
a phenomenon is associated with some other factors.
Diagnostic studies are mostly motivated by hypotheses. A primary description of a problem
serves the basis so as to relate the hypotheses with the source of the problem and only those
data which form and corroborate the hypotheses are collected. As regards the objectives of
diagnostic research design, it is based on such knowledge which can also be motivated or
put into practice in the solution of the problem. Therefore, it is obvious that the diagnostic
design is concerned with both the case as well as the treatment.
Diagnostic studies seek immediate to timely solution of the causal elements. The
researcher, before going through other references, endeavors to remove and solve the
factors and the causes responsible for giving rise to the problem.
The research design of diagnostic studies demands strict adherence to objectivity for
elimination of any chances of personal bias or prejudice. Utmost care is taken while taking
decisions regarding the variables, nature of observation to be made in the field, the type of
evidence to be collected and tools of data collection. Simultaneously the research economy
should not be lost sight of. Any faulty decision in these regard will result in wastage of
time, energy and money.

Usually the first step in such designing is accurate formulation of research problem wherein
research objectives are precisely stated and principal areas of investigation are properly
linked. Otherwise the investigator will find it difficult to ensure the collection of required
data in a systematic manner. Simultaneously, the clarification of concepts and the
operational definition of the terms should also be ensured so as to make them emendable
to measurement.
At the next stage certain decisions regarding collection of data are taken. In this regard, the
researcher should always bear in mind the advantages and disadvantages of the method to
be employed and at the same time the nature of research problem, type of data needed,
degree of desired accuracy etc. should be considered. That apart, while collecting data,
effort must be made to maintain objectivity to the maximum possible extent.
In order to surmount the financial constraints, paucity of time, a representative sample of
the research universe should be drawn so as to gather relevant information. A wide range
of sampling techniques is prevalent which must be made use of, appropriately by the
researchers.
At the stage of analysis of data, the researcher must take proper care in placing each item
in the appropriate category, tabulating of data, applying statistical computations and so on.
Sufficient care must be taken to avoid potential errors due to faculty procedures of analysis
of data. Advance decisions regarding the mode of tabulation, whether manual or by
machine, accuracy of tabulating procedures, statistical application etc. will be of immense
help in this regard.
(iv) Experimental Design:
The concept of experimental design in sociological research refers to systematic study of
human relations by making the observations under conditions of control. In the words of
Jahoda and Cook, ‘an experiment maybe considered as a way of organizing the collection
of evidence so as to permit one to make inference about the tenability of a hypothesis.
According to Chapin, “experiment is simply observation under controlled conditions.
When observation alone fails to disclose the factors that operate in a given problem, it is
necessary for the scientist to resort to experiment.”
In real terms, experimentation is resorted to when it is not possible to solve the problem
through observation and general knowledge. The core of the experimental method lies in
drawing inferences by observation of human relations under controlled conditions. Since a
number of factors are in operation in every complex social situation, the social scientist,

while seeking to describe the single causal relation of factor A to factor B, must attempt to
create an artificial situation wherein all other factors, such as C, D, E etc., are controlled.
Such a state is achieved by selecting two groups which are equal in all significant receipts
and choosing either of the groups as experimental group, and the other as the ‘control
group’, and thereafter exposing the ‘experimental group’ to the assumed causal variable,
while keeping the ‘control’ group under control. After a specific time period, the two
groups are compared in terms of the ‘assumed effect’.
The assumed causal variable and the assumed effect are otherwise called the independent
variable and dependent variable respectively. Required evidence for testing causal relations
among variables, already stated in the form of a hypothesis, is generated by the above
method of experiment.
Demonstration of causal relationship among variables in experimental design involves
three clear-cut operations; such as demonstrating co-variation, eliminating spurious
relationships and establishing the time order of occurrence.
Here we will discuss the third operation which is concerned with establishing the time order
of occurrence. This necessitates that the researcher should demonstrate that one
phenomenon occurs first or gets transformed before the other phenomenon with the
premise that the phenomenon which is yet to occur cannot be the determinant of the present
or past phenomena.
Experimental design enables the researcher to draw causal inferences. It also smoothens,
the observation of independent variable causing assumed effect.
The three components of experimental design are: comparison, manipulation, and control.
Through comparison, the correlation between variables is known. It also enables us to
demonstrate the association between two or variables.
Through manipulation the researcher establishes the time order of events. The major
evidence which become essential to determine the sequence of events is that a change
occurs only after the activation of the independent variable. In other words the independent
variable precedes the dependent variable.
Types of Experimental Design:

There are numerous ways in which experiments can be done in the field of social sciences.
In their work “Experimental and Quasi-Experimental Designs of Research on Teaching”,
Donald T. Cambell and Julian C. Stanley have mentioned more than a hundred ways of
conducting experiments which may be designated as experimental design.
But from the analytical point of view seven broad categories may be mentioned:
(i) After only Design:
Among all categories of experimental designs, after only design appears to be the simplest.
This consists in measuring the dependent variable only after the experimental subjects have
been exposed to the experimental variable. This design is considered more appropriate as
an exploratory study than a real experiment.
(ii) Before-After Design:
As the name suggests, in this design measurement of the dependent variable is taken before
as well as after exposure of the subject to the experimental variable, and the difference
between the two measurements is taken to be the effect of the experimental variable. For
example if the measured value of the dependent variable before exposure of the subject to
the experimental variable is noted as ‘A’ and its measured value after exposure of the
subject to experimental variable is noted as ‘B’ then the effect of the experimental variable
is taken to be (B—A).
(iii) Before-After with Control Group Design:
In this design the research has a control group against which the results of the experimental
groups are compared. The control group and experimental groups are selected in such a
way that both the groups are similar and interchangeable. The control group is measured
before as well as after without being exposed to the experimental variable.
Hence, there may hardly be any difference between before and after measurements. But if
there is any difference between before and after measurement, it represents the result of
uncontrolled variables.
On the other hand, the experimental variable is introduced in the experimental group. The
difference between before and after measurements in respect of the experimental group is
construed as the result of experimental variable as well as the uncontrolled variables. To
know the exact effect of the experimental variable, the researcher deducts the difference

between the two measurements of the controlled group from the difference of the two
measurements of the experimental group.
(iv) Four Group-Six Study Design:
In this type of design two experimental groups and two control groups are taken.
Measurements are made in six cases, i.e. before- measurement, and after-measurement in
respect of experimental group-I, after-measurement in experimental group-II, before and
after measurements in respect of control group-I; and only after measurement in control
group-II.
Before measurements in all the four identical groups will be almost the same. If the before-
measurements have no effect on the variable being studied, the two experimental groups
should provide the same after-measurements and, similarly, the two control groups should
also give the same after measurements. However, the results of in the two experimental
groups are most likely to be different from the results of the two control groups, if the
experimental variable exerts any influence.
(v) After Only with Control Group Design:
This is also known as two group-two study design, which is a modification of the four
group-six study design. Here, the researcher does not study the experimental variable under
different conditions. Hence, the effect of experimental variable is determined simply by
finding out the differences between the after-measurements in respect of experimental and
control groups. It so happens because if before-measurements of the experimental group-
II and control group-II are taken, those are likely to be the same due to the identical
characteristics of the groups. On this presumption, the researcher may very well ignore
them.
(vi) Ex-Post Facto Design:
In Ex-post facto design the experimental and control groups are selected after the
introduction of the experimental variable. Thus, it can be called as a variation of the after-
only design. The main advantage of this design is that the test subjects are not influenced
towards the subject by their knowledge of being tested. It also enables the researcher to
introduce the experimental variable according to his own will and to control his
observations.
(vii) Factorial Design:

All categories of experimental designs discussed above are designed to test experimental
variable at one level only. But, on the other hand, the factorial designs enable the
experimenter the testing of two or more variables simultaneously.

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