Pre-Experimental Research Designs
Learning Outcomes
- Understand and describe about Pre-Experimental Research designs
- Identify and describe the various types of Pre-Experimental research designs
- Distinguish between Pre-Experimental designs from other experimental designs
Pre-Experimental
Research Designs
Pre experimental research designs are
research schemes in which a subject or a group is observed after a treatment
has been applied, in order to test whether the treatment has the potential to
cause change. Campbell and Stanley described 3 general types of experimental
research designs – Pre-Experimental, Quasi-Experimental and Full or True
Experimental design.
Figure.1
The Proponents of different Experimental designs are given in the Figure.1
Types of Pre-Experimental
Design
Ø One-shot case study design
Ø One-group pre-test-post-test design
Ø Static-group comparison
One-shot case study design
A single group is studied at a single
point in time after some treatment that is presumed to have caused change. The
carefully studied single instance is compared to general expectations of what
the case would have looked like had the treatment not occurred and to other
events casually observed. No control or comparison group is employed.
One-group pre-test-post-test design
A single case is observed at two time
points, one before the treatment and one after the treatment. Changes in the
outcome of interest are presumed to be the result of the intervention or
treatment. No control or comparison group is employed.
Static-group comparison
A group that has experienced some treatment is compared with one that has not. Observed differences
between the two groups are assumed to be a result of the treatment
Characteristics
v It
happened before a true experiment is conducted.
v Researcher
has very little control over the experiment and variables.
v Only
the effect of independent variable on dependent variable is measured
v Validates
the experiment in the preliminary phase itself.
v It tells researchers how their intervention will affect the whole study.
Advantages
Ø Cost
effective due to its easy process
Ø Very
simple to conduct
Ø Efficient
to conduct in the natural environment
Ø It
is also suitable for beginners
Ø Involves
less human intervention
Ø Determines
how your treatment is going to affect the true experiment
Disadvantages
Ø It
is a weak design to determine casual relationships between variables
Ø Does
not have any control over the research
Ø Possess
a high threat to internal validity
Ø Researchers
find it’s tough to examine the result’s integrity
Ø The
absence of a control group makes the results less reliable
Table.1
The differences across Experimental
designs which is given in the Table.1
|
Pre-Experiment |
Quasi-Experiment |
Full Experiment |
No: of Conditions |
One
or more |
One
or more |
Two
or more |
Random assignment |
No |
No |
Yes |
Use of Pre-tests |
No |
Yes |
Sometimes |
Level of Control |
Low |
Moderate |
High |
References
2. https://www.voxco.com/blog/pre-experimental-design-definition-types-examples/
3. https://www.researchconnections.org/research-tools/study-design-and-analysis/pre-experime
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