RESEARCH DESIGN
Definition
of research design
Kerlinger, N.F
(1986) defines research design as
“ The plan and structure of
investigation so conceived as to obtain answers to research questions. The plan
is overall scheme or program of the research. It includes an outline of what
the investigator will do from writing hypotheses and their operational
implications to the final analysis of data….a research design expresses both
the structure of the research problem and the plan of investigation used to
obtain empirical evidence on relations of the problem”
Therefore
a research design is the strategy for a study and the plan by which the
strategy is to be carried out. It specifies the methods and procedures for the
collection, measurement, and analysis of data.
ESSENTIALS
OF RESEARCH DESIGN
The design:
Ø Is an activity and time based plan
Ø Is always based on the research question
Ø Guides the selection of sources and types of information
Ø Is a framework for specifying the relationships among the study’s
variables
Ø Outlines procedures for every research activity.
CLASSIFICATIONS
OF DESIGNS
Research can be
classified using eight different descriptors as shown in the table below:
Category
|
Options
|
The degree to
which the research questions has been crystallized
|
Ø Exploratory study
Ø Formal study
|
The method of
data collection
|
Ø Monitoring
Ø Interrogation / communication
|
The power of
the researcher to produce effects in the variables under study
|
Ø Experimental
Ø Ex post facto
|
The purpose of
the study
|
Ø Descriptive
Ø Causal
|
The time
dimension
|
Ø Cross-sectional
Ø Longitudinal
|
The topical
scope – breath and depth of the study
|
Ø Case
Ø Statistical study
|
The research
environment
|
Ø Field setting
Ø Laboratory research
Ø Simulation
|
The
participants perceptions of research activity
|
Ø Actual routine
Ø Modified routine
|
1. Degree to which the research
questions has been crystallized
A study may be
viewed as exploratory study or formal study. The essential distinctions between
these two options are the degree of structure and the immediate objective of
the study.
Ø Exploratory studies tend toward loose
structures with the objective of discovering future research tasks. Its
immediate purpose is to develop hypotheses or questions for further study.
Ø Formal study begins
where the exploration leaves off- it begins with a hypothesis or research
question and involves precise procedures and data source specifications. Its
goal is to test the hypotheses or answer the research questions posed.
2. Method of data collection
Ø Monitoring: It includes studies in which
the researcher inspects the activities of a subject or the nature of some
material without attempting to elicit responses from anyone e.g. an observation
of the actions of a group of decision makers.
Ø Interrogation / communication: the
researcher questions the subjects and collects their responses by personal or
impersonal means. The collected data may result from
i.
Interview or telephone
conversations
ii.
Self-administered or
self-reported instruments sent through the mail, left in convenient locations,
or transmitted electronically or by other means
iii.
Instruments presented before
and / or after a treatment or stimulus condition in an experiment.
3. Researcher control of variables
Ø Experimental: the researcher attempts to
control and / or manipulate the variables in the study. It is appropriate when
one wishes to discover whether certain variables produce effects in other variables.
Experimentation provides the most powerful support for a hypothesis of
causation.
Ø Ex post facto: Investigators have no
control over the variables in the sense of being able to manipulate them. They
can only report what has happened or what is happening. It is important that
the researcher’s using this design do not influence the variables since doing
so will introduce bias. The researcher is limited to holding factors constant
by judicious selection of subjects according to strict sampling procedures and
by statistical manipulation of findings.
4. Purpose of the study
Ø Descriptive study: it is a research that
is concerned with finding out who, what, where, when, or how much.
Ø Causal study: It is concerned with
learning why i.e. how one variable produces changes in another. It tries to
explain the relationships among variables.
5. The time dimension
Ø Cross-sectional studies: they are
carried out once and represent a snapshot of one point in time.
Ø Longitudinal studies: are repeated over
an extended period. It tracks changes over time.
6. The topical scope
Ø Statistical studies: they are designated
for breadth rather than depth. They attempt to capture a population’s
characteristics by making inferences from a sample’s characteristics.
Hypotheses are tested quantitatively. Generalizations about findings are
presented based on the representativeness of the sample and the validity of the
design.
Ø Case studies: they place more emphasis
on a full contextual analysis of fewer events or conditions and their
interrelations. Although hypotheses are often used, the reliance on qualitative
data makes support or rejection more difficult. An emphasis on detail provides
valuable insight for problem solving, evaluation and strategy. This detail is
secured from multiple sources of information. It allows evidence to be verified
and avoids missing data.
7. The research environment
Ø Field setting: it is where the research
occurs under actual environmental conditions
Ø Laboratory research: it is where the
research occurs under staged or manipulated conditions
Ø Simulation: To simulate is to replicate
the essence of a system or process. Simula
are increasingly used in operations research. The major characteristics of various conditions and relationships in actual situations are often represented in mathematical models. Role-playing and other behavioural activities may also be viewed as simulations.
8. Participants’ perceptions
The
usefulness of a design may be reduced when people in a disguised study perceive
that research is being conducted. Participants’ perceptions influence the
outcomes of the research in subtle ways. There are three levels of perception:
Ø Participants perceive no deviations from everyday routines
Ø Participants perceive deviations, but as unrelated to the
researcher.
Ø Participants perceive deviations as researcher-induced.
In all research
environments and control situations, researchers need to be vigilant to effects
that may alter their conclusions. Participant’s perceptions serve as a reminder
to classify one’s study by type, to examine validation strengths and weaknesses
and to be prepared to qualify results accordingly.
MAJOR
TYPES OF RESEARCH DESIGN
(a)
Exploratory studies
Exploration
is particularly useful when researchers lack a clear idea of the problems they
will meet during the study. Through exploration researchers develop concepts
more clearly, establish priorities, develop operational definitions and improve
the final research design. Other factors that necessitate the use of
exploration are
Ø To save time and money
Ø If the area of investigation is new
Ø Important variables may not be known or thoroughly defined
Ø Hypothesis for the research may be needed
Ø A researcher can explore to be sure if it is practical to do a
formal study in the area.
Despite its
obvious value, researchers and managers give exploration less attention that it
deserves. Exploration is sometimes linked to old biases about qualitative
research i.e. subjective ness, non-representativeness and non-systematic
design.
When we consider
the scope of qualitative research, several approaches are adaptable for
exploratory investigations of management questions:
Ø In-depth interviewing – usually conversational rather than
structured.
Ø Participant observation – to perceive first hand what participants
in the setting experience
Ø Films, photographs and videotapes – to capture the life of the group
under study.
Ø Case studies – for an in-depth contextual analysis of a few events
or conditions
Ø Document analysis – to evaluate historical or contemporary
confidential or public records, reports, government documents and opinions.
Where these
approaches are combined, four exploratory techniques emerge with wide
applicability for the management researcher: -
i.
Secondary data analysis
ii.
Experience surveys
iii.
Focus groups
iv.
Two-stage designs
An exploratory
research is finished when the researchers have achieved the following:
Ø Established the major dimensions of the research task
Ø Defined a set of subsidiary investigative questions that can be used
as a guide to a detailed research design.
Ø Developed several hypotheses about possible causes of a management
dilemma. Learned that certain other hypotheses are such remote possibilities
that they can be safely ignored in any subsequent study.
Ø Concluded additional research is not needed or is not feasible.
(b)
Descriptive Studies
It is the
process of collecting data in order to test hypotheses or to answer questions
concerning the current status of the subjects in the study. It determines and
reports the way things are. It attempts to describe such things as possible
behaviour, attitudes, values and characteristics.
(c)
Causal Research
It is used to explore relationships between variables. It determines
reasons or causes for the current status of the phenomenon under study. The
variables of interest cannot be manipulated unlike in experimental research.
Advantages
of causal study
Ø Allows a comparison of groups without having to manipulate the
independent variables
Ø It can be done solely to identify variables worthy of experimental
investigation
Ø They are relatively cheap.
Disadvantages
of causal study
Ø Interpretations are limited because the researdoes not know whether
a particular variable is a cause or result of a behaviour being studied.
Ø There may be a third variable which could be affecting the
established relationship but which may not be established in the study.
(d)
Correlation Methods
It
describes in quantitative terms the degree to which variables are related. It
explores relationships between variables and also tries to predict a subject’s
score on one variable given his or her score on another variable.
Advantages
of the correlational method
Ø Permits one to analyze inter-relationships among a large number of
variables in a single study.
Ø Allows one to analyze how several variables either singly or in
combination might affect a particular phenomenon being studied.
Ø The method provides information concerning the degree of
relationship between variables being studied.
Disadvantages
of the correlational method
Ø Correlation between two variables does not necessarily imply
causation although researchers often tend to interpret such a relationship to
mean causation.
Ø Since the correlation coefficient is an index, any two variables
will always show a relationship even when commonsense dictates that such
variables are not related.
Ø The correlation coefficient is very sensitive to the size of the
sample.
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