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SINGLE SUBJECT
RESEARCH
PREPARED FOR:
DR JOHAN @ EDDY LUARAN
PREPARED BY:
AFZA ARRMIZA BINTI RAZIF [2013697158]
HANIFAH BINTI RAMLEE
IZYAN NADHIRAH BINTI WAHID
MAIZATUL AKMAL BINTI ZULKIFLI
DEFINITION
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•

•
SINGLE SUBJECT DESIGN
•
•

•
CHARACTERISTIC
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•

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
•

•

•
Figure 14.2 A-B Design
As you can see, five measures were taken before the
intervention and five more during the intervention. Looking at
the data in figure 14.2, the intervention appears to have been
effective. The amount of responsiveness after the
intervention increased markedly.


•
•

•

•

•

•

•
•
•

•

•

•
•

•

•
Threat to Internal Validity in SingleSubject Research
It involve the :
 The length of the baseline and intervention conditions
 The Number of Variables Changed When Moving from One
Condition to Another
 The Degree and Speed of Change
 The Return to Baseline Level
 Independence of Behaviour
 Number of Baselines
CONDITION
LENGTH

 Refers to how long the
baseline and intervention
conditions are in effect.
 The number of data points
gathered during a conditions.
 Minimum three of data point
to establish a clear pattern or
trend.
 As a hypothesis,in a certain
period or condition of
length,the researcher need
to gathered enough data as it
will establish the clear
pattern
 Figure 14.10 (a)

 Figure 14.10 (b)
 NUMBER OF
VARIABLES
CHANGED WHEN
MOVING FROM ONE
CONDITION TO
ANOTHER

 Only one variable should be
changed at a time when
moving from one condition
to another
 When analyzing a single –
subject design,it always
important to determined
whether only one variable
at a time has been changed
DEGREE AND
SPEED OF
CHANGE

 In single-subject
research,the stability is
important
 The data change at the
time the intervention
condition is implemented
influenced the stability of
baseline
(when the independent
variable is introduced or
removed)
 Figure 14.11(a)

 Figure 14.11(b)
 Figure 14.11(c)
RETURN TO
BASELINE
LEVEL

 The subject’s behaviour did
not return to the original
baseline level suggest that
the one or more extraneous
variable may have
produced the effects
observed during the
intervention condition
Differences in Return to Baseline
Conditions

 Figure 14.12(a)

 Figure 14.12(b)
NUMBER OF
BASELINES

 In order to have a multiple –
baseline design,researcher
must have at least two
based line
 Baseline begin at same
time,the intervention occur
in different time
 More baseline and
intervention will lead to
invalid conclusion
 NUMBER OF
BASELINES

 The greater number of
baselines,the greater the
probability that the intervention
is the cause of any change in
behaviour
 The more baselines,there
are,the longer the later
behaviours must remain in
baseline
 The fewer the number of
baseline,the less likely we can
conclude that is the intervention
rather than some other variable
that causes any change in
behaviour


CONTROL OF
THREATS TO
INTERNAL
VALIDITY IN
SINGLE-SUBJECT
RESEARCH

Single-Subject designs are
most effective in controlling
for :
 Subject characteristics
 Mortality
 Testing
 History
EXTERNAL
VALIDITY IN
SINGLE-SUBJECT
RESEARCH:THE
IMPORTANCE OF
REPLICATION

 Single subject studies are
weak when it comes to
external validity
 Total rely on replicationsacross individual instead of
groups
 The result worthly of
generalization

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Single Subjects Research

  • 1. SINGLE SUBJECT RESEARCH PREPARED FOR: DR JOHAN @ EDDY LUARAN PREPARED BY: AFZA ARRMIZA BINTI RAZIF [2013697158] HANIFAH BINTI RAMLEE IZYAN NADHIRAH BINTI WAHID MAIZATUL AKMAL BINTI ZULKIFLI
  • 7. Figure 14.2 A-B Design As you can see, five measures were taken before the intervention and five more during the intervention. Looking at the data in figure 14.2, the intervention appears to have been effective. The amount of responsiveness after the intervention increased markedly.
  • 8.
  • 9.
  • 11.
  • 13.
  • 15.
  • 17.
  • 18. Threat to Internal Validity in SingleSubject Research It involve the :  The length of the baseline and intervention conditions  The Number of Variables Changed When Moving from One Condition to Another  The Degree and Speed of Change  The Return to Baseline Level  Independence of Behaviour  Number of Baselines
  • 19. CONDITION LENGTH  Refers to how long the baseline and intervention conditions are in effect.  The number of data points gathered during a conditions.  Minimum three of data point to establish a clear pattern or trend.  As a hypothesis,in a certain period or condition of length,the researcher need to gathered enough data as it will establish the clear pattern
  • 20.  Figure 14.10 (a)  Figure 14.10 (b)
  • 21.  NUMBER OF VARIABLES CHANGED WHEN MOVING FROM ONE CONDITION TO ANOTHER  Only one variable should be changed at a time when moving from one condition to another  When analyzing a single – subject design,it always important to determined whether only one variable at a time has been changed
  • 22. DEGREE AND SPEED OF CHANGE  In single-subject research,the stability is important  The data change at the time the intervention condition is implemented influenced the stability of baseline (when the independent variable is introduced or removed)
  • 23.  Figure 14.11(a)  Figure 14.11(b)
  • 25. RETURN TO BASELINE LEVEL  The subject’s behaviour did not return to the original baseline level suggest that the one or more extraneous variable may have produced the effects observed during the intervention condition
  • 26. Differences in Return to Baseline Conditions  Figure 14.12(a)  Figure 14.12(b)
  • 27. NUMBER OF BASELINES  In order to have a multiple – baseline design,researcher must have at least two based line  Baseline begin at same time,the intervention occur in different time  More baseline and intervention will lead to invalid conclusion
  • 28.  NUMBER OF BASELINES  The greater number of baselines,the greater the probability that the intervention is the cause of any change in behaviour  The more baselines,there are,the longer the later behaviours must remain in baseline  The fewer the number of baseline,the less likely we can conclude that is the intervention rather than some other variable that causes any change in behaviour
  • 29.  CONTROL OF THREATS TO INTERNAL VALIDITY IN SINGLE-SUBJECT RESEARCH Single-Subject designs are most effective in controlling for :  Subject characteristics  Mortality  Testing  History
  • 30. EXTERNAL VALIDITY IN SINGLE-SUBJECT RESEARCH:THE IMPORTANCE OF REPLICATION  Single subject studies are weak when it comes to external validity  Total rely on replicationsacross individual instead of groups  The result worthly of generalization