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Experimental and Quasiexperimental Research

Created by :
Diah Nesti Kristanti (09321066)
Nova Isnawati
(09321197)
Vivin Quaratul ‘Aini (09321311)
Definition
1. Experimental research methods can be
interpreted as a method of research used to
search for a specific treatment effect on others
in uncontrolled conditions.
2. Quasi-experimental design involves selecting
groups, upon which a variable is tested,
without any random pre-selection processes.
This design has a control group, but it can not
be fully functional to control the external
variables that affect the implementation of the
experiment.
Example of Experimental Research
In the field of physics, these studies can use
experimental design, because these variables
can affect the process of experimentation that
can be strictly controlled.
For example : the influence of sea water on the
corrosion of certain metals. It can also be done
through research with experimental design,
because it can be carefully controlled
conditions.
In experimental research, we traditionally look at
two distinct types of hypotheses. They are the
null hypothesis and the alternative hypothesis.
• Null hypothesis (H0): adding moving pictures will
not improve pupils’ retention of the content.
• Alternative hypothesis (H1): adding moving
pictures will improve pupils’ retention of the
content.
•
Example of Quasi-Experimental
 Quasi-Experimental in Time Series Design
Good pretest result is O1 = O2 = O3 = O4 and
good treatment outcome is O5 = O6 = O7 = O8.
A
B
C

O1 O2 O3 O4 O5 O6 O7 O8

*O = Object
The best results are shown in chart A. Pretest
results showing the stable and consistent state of
the group (O1 = O2 = O3 = O4) after being given
treatment, the situation improved consistently (O5
= O6 = O7 = O8).
Graph B shows has treatment effect in the
experimental group, but after it returned to its
original position. So the treatment effect only as an
example: at the time of the seminar, the
knowledge and skills increase, but after returning
to class abilities back to normal. Graph C shows
the outside influences contribute more than the
treatment effect, so the graph is rising steadily.
Graph D shows the unstable state of the group.
advantages of experimental research
• The main advantage of experimental research
is the control over external factors mentioned
several times in the previous section.
• Especially in social sciences, where preselection and randomization of groups is often
difficult, they can be very useful in
generating results for general trends.
Advantages of Quasi-experimental
designs
• Quasi-experimental design is often integrated
with individual case studies; the figures and
results generated often reinforce the findings
in a case study, and allow some sort of
statistical analysis to take place.
• In addition, without extensive pre-screening
and randomization needing to be undertaken,
they do reduce the time and resources
needed for experimentation.
Disadvantages of experimental
research
• Without proper randomization, statistical tests
can be meaningless. For example, these
experimental designs do not take into account
any pre-existing factors (as for the mothers:
what made them drink or not drink alcohol),
or recognize that influences outside the
experiment may have affected the results.
Disadvantages of quasi-experiment
• Disadvantages aside, as long as the shortcomings
of the quasi-experimental design are recognized,
these studies can be a very powerful tool,
especially in situations where ‘true’
experiments are not possible.
• A quasi experiment constructed to analyze the
effects of different educational programs on two
groups of children. For example, might generate
results that show that one program is more
effective than the other.
SUMMARY
• Experimental research methods can be
interpreted as a method of research used to
search for a specific treatment effect on
others in uncontrolled conditions. In the field
of physics, these studies can use experimental
design, because these variables can affect the
process of experimentation that can be strictly
controlled
Thank You

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Experimental and quasi experimental research

  • 1. Experimental and Quasiexperimental Research Created by : Diah Nesti Kristanti (09321066) Nova Isnawati (09321197) Vivin Quaratul ‘Aini (09321311)
  • 2. Definition 1. Experimental research methods can be interpreted as a method of research used to search for a specific treatment effect on others in uncontrolled conditions. 2. Quasi-experimental design involves selecting groups, upon which a variable is tested, without any random pre-selection processes. This design has a control group, but it can not be fully functional to control the external variables that affect the implementation of the experiment.
  • 3. Example of Experimental Research In the field of physics, these studies can use experimental design, because these variables can affect the process of experimentation that can be strictly controlled. For example : the influence of sea water on the corrosion of certain metals. It can also be done through research with experimental design, because it can be carefully controlled conditions.
  • 4. In experimental research, we traditionally look at two distinct types of hypotheses. They are the null hypothesis and the alternative hypothesis. • Null hypothesis (H0): adding moving pictures will not improve pupils’ retention of the content. • Alternative hypothesis (H1): adding moving pictures will improve pupils’ retention of the content. •
  • 5. Example of Quasi-Experimental  Quasi-Experimental in Time Series Design Good pretest result is O1 = O2 = O3 = O4 and good treatment outcome is O5 = O6 = O7 = O8. A B C O1 O2 O3 O4 O5 O6 O7 O8 *O = Object
  • 6. The best results are shown in chart A. Pretest results showing the stable and consistent state of the group (O1 = O2 = O3 = O4) after being given treatment, the situation improved consistently (O5 = O6 = O7 = O8). Graph B shows has treatment effect in the experimental group, but after it returned to its original position. So the treatment effect only as an example: at the time of the seminar, the knowledge and skills increase, but after returning to class abilities back to normal. Graph C shows the outside influences contribute more than the treatment effect, so the graph is rising steadily. Graph D shows the unstable state of the group.
  • 7. advantages of experimental research • The main advantage of experimental research is the control over external factors mentioned several times in the previous section. • Especially in social sciences, where preselection and randomization of groups is often difficult, they can be very useful in generating results for general trends.
  • 8. Advantages of Quasi-experimental designs • Quasi-experimental design is often integrated with individual case studies; the figures and results generated often reinforce the findings in a case study, and allow some sort of statistical analysis to take place. • In addition, without extensive pre-screening and randomization needing to be undertaken, they do reduce the time and resources needed for experimentation.
  • 9. Disadvantages of experimental research • Without proper randomization, statistical tests can be meaningless. For example, these experimental designs do not take into account any pre-existing factors (as for the mothers: what made them drink or not drink alcohol), or recognize that influences outside the experiment may have affected the results.
  • 10. Disadvantages of quasi-experiment • Disadvantages aside, as long as the shortcomings of the quasi-experimental design are recognized, these studies can be a very powerful tool, especially in situations where ‘true’ experiments are not possible. • A quasi experiment constructed to analyze the effects of different educational programs on two groups of children. For example, might generate results that show that one program is more effective than the other.
  • 11. SUMMARY • Experimental research methods can be interpreted as a method of research used to search for a specific treatment effect on others in uncontrolled conditions. In the field of physics, these studies can use experimental design, because these variables can affect the process of experimentation that can be strictly controlled