This document provides an overview of different types of research designs, including exploratory, descriptive, diagnostic, and hypothesis-testing designs. It defines what a research design is and lists key features of a good research design such as minimizing bias. For each type of design, it provides a brief definition and highlights important aspects to consider, such as the objective, data collection methods, sample selection, and data analysis. The overall purpose is to introduce and compare different approaches to research design.
2. Index
1) Meaning of research design
2) Features of a good research design
3) Exploratory research design
4) Descriptive research design
5) Diagnostic research design
6) Hypothesis-testing research design
3. Meaning of research
design
A research design is one that minimizes bias and maximizes
the reliability of the data. It also yields maximum
information, gives minimum experimental error, and
provides different aspects of a single problem. A research
design depends on the purpose and nature of the research
problem. Thus, one single design cannot be used to solve all
types of research problem, i.e., a particular design is
suitable for a particular problem.
4. Features of a good research
design
The means of obtaining information
The availability and skills of the researcher and his
staff, if any;
The objective of the problem to be studied;
The nature of the problem; and
The availability of time and money for the research work.
It should be flexible enough to consider different aspects
of the study in case of exploratory.
The design should be accurate with minimum bias in
case of accurate description
5. design
It is a type of research conducted for a problem,but the
problem itself has not been clearly understood. In other
words, exploratory research is a process of gathering facts
and doing research that later allows for the team to create the
best research design or data collection method available for
specific subjects.
This
process
will
draw
definitive
conclusions only with caution due to the nature of the
process. In many cases, this process leads to the
understanding that no problem actually exists.
Exploratory research is guided by a set of hypotheses
1) Operational definition
2) Statistical testing
6. design
Descriptive research design is a type of research method
that is used when one wants to get information on the
current status of a person or an object. It is used to
describe what is in existence in respect to conditions or
variables that are found in a given situation.
The Office of Human Research Protections defines a
descriptive study as “Any study that is not truly
experimental.” Descriptive studies can involve a one-time
interaction with groups of people or a study might follow
individuals over time
7. design
Diagnostic research studies determine the frequency of
occurrence of something or its association with something else.
From the research design point of view, the design of such
studies should be rigid and should focus on the following:
1) Objective of the study (what the study is about and why is it
2)
3)
4)
5)
6)
being made?)
Methods of data collection (what techniques of data
collection will be adopted?)
Sample selection (how much material will be needed?)
Data collection (where the required data can be found and
with what time frequency should the data be related?)
Data processing and analysis
Reporting the findings
8. Hypothesis-testing research
design
Hypothesis-testing research studies, also known as experimental studies, an
experiment is a study in which a treatment, procedure, or program is
intentionally introduced and a result or outcome is observed. The American
Heritage Dictionary of the English Language defines an experiment as “A test
under controlled conditions that is made to demonstrate a known truth, to
examine the validity of a hypothesis, or to determine the efficacy of something
previously untried.”
True experiments have four elements:
1)
2)
3)
4)
manipulation
control
random assignment and
random selection.
The most important of these elements are manipulation and control.
Manipulation means that something is purposefully changed by the
researcher in the environment. Control is used to prevent outside factors
from influencing the study outcome