All studies have certain procedures
in common – a statement of the problem, collection and analysis of data, and
conclusion, but each type of research has its own distinct design in terms of
methods to be used including sampling, data gathering and data analysis. Each research type is designed to answer a
different type of question and represent a readily identifiable method or
strategy uniquely different from the others.
The research design constitute the
blueprint for the collection, measurement and analysis if data (Vockell,
1983,p.150). In other words, in includes
the plan, structure and strategy of inverstigation conceived so as to obtain
answers to research questions and to control variance (Kerlinger, 1985,p.300).
The plan is the overall scheme or
program of what the investigator will do from the writing the hypothesis to the
final analysis of data. The structure of
the research is the outline, the scheme, the paradigm or model of the relations
among the variables of a study.
The strategy includes the methods
to be used to gather and analyze the data.
It implies how the research objectives will be reached and how the
problems encountered in the research will be tackled.
Based on these components, a
research design approximates an expression of both the structure of the
research problem and the plan of investigation used to obtain empirical
evidence on the relations of the variables in the problem.
Ackoff (1952,p.10) gives the
distinction between design and methodology.
Whereas
design exposes research decisions to evaluation before they are carried out,
methodology actually makes the evaluation and exposes the method used at
arriving at these design decisions so that it too can be evaluated beforehand.
Kerlinger (1986,p.280) explained
that research designs are made to enable researchers to answer research
questions as validly, objectively,
accurately and economically as possible.
Research plans are deliberately and specifically conceived and executed
to bring empirical evidence to bear on the research problem. The design also tells what observations to
make, how to make them, and how to analyze the quantitative representations of
the observations. An adequate design
suggest how many observations should be made and which variables are active and
which are attribute. We can then act to
manipulate the active variables and then categorize and measure the attribute
variables. A design tells what type of
statistical analysis to use and outlines possible conclusions to be drawn from
the statistical analysis.