The document discusses the experimental method for research. It describes experimental method as using research designs, guidelines for determining statistical significance and quality. Experiments test relationships between variables, with the independent variable influencing the dependent variable. Quality control focuses on threats to internal and external validity, such as experience bias, participant bias, and instrumentation bias. Various research designs are used to address these threats and balance research questions with available resources.

2. Experimental Method
- is basically a collection of research
designs, guidelines for using them, principles and
procedures for determining statistical
significance, and criteria for determining the quality
of a study
For some researchers , the experimental
method is the premier method, all others being
‘ground clearing’ operations, that is, preliminary
data collection and interpretation exercises to
prepare for a formal experiment.

3. Experiments are generally conducted in order to test the
strength of relationships between variables. We also saw that
when the researcher is testing the influence of one variable on
another , the variable doing the influencing is called the
independent variable, while the other being influenced is
called the dependent variable.
Example:
“In a study of the effect of two different methods for
teaching grammar, the teaching method would me the
independent variable, and the students’ performance on a test of
grammar knowledge would be the dependent variable”.

4. QUALITY CONTROL
ISSUES:
THREATS TO INTERNAL VALIDITY
Quality Control – in the experimental method, is
largely a matter of understanding the many things that
can go wrong and taking steps to prevent or minimize
those threats.
Threats to internal validity can be divided to three
categories:
Experience Bias factors
Participant Bias
Instrumentation Bias

5. Threats to Internal Validity
Based on Experience
Three Experience Bias
Factors
- refers to events –things that happen during
an experiment which may influence the results.
- can also have an unintended influence on the
outcomes of the treatment.
Example :
“If classes in the study are disrupted due to natural
disasters or political unrest, the research will be affected”
Experience Bias factors are those “based on what
occurs within a research study as it progresses”.

6. - refers to the fact that taking a pre-test may
influence the subjects’ performance on post-test.
That is in addition to learning from the
treatment, learners may do better on the post-test
because the pre-test alerted them to what was being
investigated in the study.
- A treatment may appear to increase learning
effectiveness as compared to that of a control or
comparison group, not because it really boosts
effectiveness but because either the experimenter or
the subjects believe that it does and behave according
to this expectation ( Tuckman, 1999)

7. Threats to Internal Validity
Based on Participants
Participant Bias is a result of the “characteristics of
the people on whom the study is conducted”
Five participant bias factors:
-as a threat to Internal validity is the idea that somehow the
groups to be compared turn out to be different before the
treatment
Safeguard:
Random selection and random assignment are
used to combat this problem.

8. -refers to the normal development people undergo
whether or not they are receiving a treatment of some kind.
Safeguard:
This problem is addressed through the use of control
group, which is at the same development level as the
treatment group and goes through the same experiences for
the period of time.
-is the name of a tendency for people’s test scores to
change whether or not the knowledge, skill or ability to being
measured truly changes.
Safeguard:
Using subjects who represent an entire range of
ability levels in your design is one way to avoid this problem.

9. - Is the problem of losing subjects from the study. It can
be especially worrisome if the groups end up being quite
different sizes because people dropped out.
-happens when more than one threat is present in
a study.
Safeguard:
To deal with this threat, researchers often try to
recruit more people for a study than they may actually
need.
Safeguard:
Careful planning is needed to avoid these sorts of
problems.

10. Threats to Internal Validity
Based on Instrumentation
Instrumentation Bias has to do with “the way the
data are collected”
The threat of instrumentation is also sometimes called
instability of measures, because it occurs if the measurement
or recording processes change during the experiment.
Safeguard:
Observer training, rater training, and the careful
piloting of all questionnaires and data collection devices.

11. QUALITY CONTROL
ISSUES:
THREATS TO EXTERNAL VALITY

12. There are four issues concern about external
validity:
- It is related to the testing threat ( or practice effect to
internal validity. In this situation, the presence of a pre-
test may give the effects of the treatment boost. Then, when
the outcomes of the experiment are transferred to the real
world where no pre-test is involved, that extra boost will be
lacking.
-This threat is very interesting problem. This idea
refers to the fact that sometimes just knowing that one is in
an experiment is enough to cause a difference that may be
captured by the dependent variable , whether or not one is
in the treatment group.

13. -occurs when the sample in an experiment is not
really representative of the population from which it was
drawn.
-This term means that before we select people
from the population to be in the sample, we determine
what the relevant characteristics of the population are and
make sure that the levels in the sample represents the
population appropriately.
-This threat is hard to manage in the classroom
research , especially in second language settings where
students have access to the target language outside of
class.

14. RESEARCH DESIGNS IN
THE EXPERIMENTAL
METHOD

15. In order to deal with these threats, the
experimental method includes many
different research designs to counteract the
possible confounding variables that could
influence the internal and external validity
of a study. The various designs have
different strength and weaknesses. Anyone
who chooses to do an experiment must
balance the focus of the research question
against the time resources available for
conducting the study in order to choose the
best design.

16. Scenario 1:
The One-Shot Case Study Design
Scenario 2:
The One-Group Pre-Test Post-Test Design
Scenario3:
The Intact Groups Design
Scenario 4 :
The nonequivalent Control(comparison)
Groups design

17. Scenario 5:
The Time Series Design
Scenario 6:
The Equivalent Time Samples Design
Scenario 7:
Post- Test Only Control Group
Design
Scenario 8:
Pre-test Post Test Control
Design