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Educational Research
Chapter 10
Single-Subject Experimental Research
What is single subject
research?
 Single-subject research is a quantitative research
that:
 involves studying in detail the behaviour of each of a
single or small number of participants
 focuses on understanding objective behaviour
through experimental manipulation and control,
collecting highly structured data, and analyzing those
data quantitatively.
Objectives of single subject
 To focus intensively on the behaviour of individual
participants.
1. - Group research can hide individual differences and
generate results that do not represent the behaviour
of any individual. Single-subject research, however,
would likely reveal these individual differences.
2. - To focus intensively on individuals is that
sometimes it is the behaviour of a particular
individual that is primarily of interest.
Objective of single subject
 To discover causal relationships through the
manipulation of an independent variable, the careful
measurement of a dependent variable, and the
control of extraneous variables.
Why single subject instead of
group approach?
 In some situations it is inappropriate/unethical to use
a control group treatment, so a single-subject design
is the alternative
 In other situations there are low incidences of
subjects available to participate. Eg: Children with
specific special needs
Single subject research
approach
 Single subject design involves single individuals or
small sample (n<10) and focus intensively on the
behaviour of individual participants and investigate
the effectiveness of an intervention.
 The researcher establishes the baseline behaviour or
actions by observation or multiple tests each day for
a set amount of time.
 After the baseline is set, an intervention would be
introduced to change or better the behaviour.
 This would be an A-B design where there is a simple
baseline phase and an intervention phase.
Single subject experimental
 Depending on the circumstances and needs, A-B-A design can
occur where the baseline is monitored, the intervention is
introduced and then the intervention is taken away to see
whether it helped long term or whether it is a shot term effect
only.
 The A-B-A-B design monitors the progress and investigates
what happens if the intervention is taken away, however it is
later put back in again to better the behaviour.
Single-Subject Research
 Two unique characteristics
 The sample size is one subject (individual/group/class) or
small group of sample (<10)
 Each subject serves as his or her own control
 Notation
 ‘A’ indicates a non-treatment phase usually referred to as a
“baseline”
 ‘B’ indicates a treatment phase
 Examples
 A-B-A indicates a non-treatment baseline phase followed by a
treatment phase which is followed by a return to a non-
treatment baseline phase
 A-B-A-B indicates four phases of treatment (baseline,
treatment, baseline, and treatment)
Objectives 1.1, 1.2, 1.5
Single-Subject Research
 External validity
 The lack of external validity is the major
concern with single-subject designs
 Generalizability is addressed through
multiple replications of the same treatment
and design that produce similar results for
a number of different participants
Objective 1.4
Single-Subject Research
 Internal validity
 Internal validity is always a concern with single-
subject research
 Two major threats
 Instrumentation
 Specificity of variables
 Controlling threats
 Baselines are multiple measures of pretest performance
 By repeating baseline measures over a period of time
threats to internal validity can be controlled in terms of
 History
 Maturation
Objectives 1.6 & 1.7
Single-Subject Research
 Number of manipulated variables
 Only a single variable should be
manipulated in single-subject designs
 Adding and withdrawing more than one
variable becomes problematic in terms of
analyzing the individual effect of either
variable
Objective 1.8
Single-Subject Designs
 Three major categories
1. A-B (Basic design)
2. A-B-A, A-B-A-B withdraw
 Alternating phases of baseline (A) and treatment (B)
3. Multiple baselines
 The systematic addition of behaviors, subjects, or
settings for intervention
 Used when baselines cannot be recovered after
treatment has been received
4. Multiple treatment
Rapid alternation of treatments to a single subject to
assess the effectiveness of two or more treatments
Objective 1.9
A-B Withdraw Design
 The A-B design
 O O O O O O O X O X O X O X O
Baseline Treatment
 Internal validity threats are of concern
 Use of designs with additional baseline
and/or treatment phases helps to control
threats to internal validity
Objective 1.10
A-B-A Withdraw Design
 The A-B-A design
 O O O O X O X O X O O O O O
Baseline Treatment Baseline
 If the outcome is better during treatment than
either baseline, the treatment is likely effective
 Internal validity threats can be controlled
 The major concern
 The experiment ends with the subject not receiving the
treatment
 If the treatment has been shown to be effective this is
an ethical concern
Objective 1.10
A-B-A-B Withdraw Design
 The A-B-A-B design
 O O O O X O X O X O O O O O X O X O X O
Baseline Treatment Baseline Treatment
 Internal validity threats can be controlled
 The effects of the treatment can be demonstrated twice
 If the results are the same, it is likely the influence of
extraneous variables has been controlled
 Ethical concerns related to the A-B-A design are
eliminated
 The right pattern of results provides convincing
evidence of the effectiveness of the treatment
Objective 1.10
Multiple Baseline Designs
 Three basic multiple baseline designs
 Across behaviors
 Data are collected on several behaviors for a single subject
 Treatment is applied to each behavior one at a time until all behaviors
have been treated
 Across subjects
 Data are collected on several subjects for one behavior
 Treatment is applied to each subject one at a time until all subjects
have been treated
 Across settings
 Data are collected on one behavior for one subject across several
settings
 Treatment is applied to each behavior one at a time in each setting until
all settings have been treated Objective 2.1
Multiple Baseline Designs
 Three basic multiple baseline designs (cont.)
 An example across behaviors
 Behavior 1 O O X O X O X O X O X O
Behavior 2 O O O O X O X O X O X O
Behavior 3 O O O O O O X O X O X O
 Design concerns
 If behaviors are treated the behaviors must be independent
of one another
 If subjects are treated the subjects must be similar
 If settings are treated the settings must be as natural as
possible
Objective 2.1
Multiple Baseline Designs
 Advantages
 Can be used when baseline data are not
recoverable after treatment
 The effects of reinforcement are designed to be
maintained after the reinforcement is removed
 Can be combined with A-B-A designs to
establish a very convincing case for cause
and effect
 An A-B-A design is applied across three
behaviors
Objective 2.2
Alternating Treatments Design
 Involves the relatively rapid alternation of treatments
for a single subject
 Treatment does not occur at fixed time periods
 Treatments are changed sporadically
 Advantages
 Useful in assessing the relative effectiveness of two or more
treatments
 No withdraw of treatment is necessary
 No baseline is needed
 The effects of treatment can be studied quickly and
efficiently
Objectives 3.1 & 3.2
Data Analysis and Interpretation
 Two phases
 An evaluation of the adequacy of the
design
 An assessment of the treatment
effectiveness
 Two techniques
 Visual inspection of the data
 Graphical presentation of the results
Objective 4.1
Data Analysis and Interpretation
 Significance
 Clinical significance
 Effects related to the behaviors being treated
 Meaningful in a “real” sense
 Parallels the importance of practical significance
 Statistical significance
 Statistical tests are available but often result in statistical
significance that has little if any clinical significance
 Use is currently debated in the field
Objective 4.2
Replication
 Replication is an important aspect of single-
subject research
 The more one’s results are replicated the more
confidence one has in the procedures that
produced the results
 Three stages of replication
 Direct replication
 Same researcher, same subjects, specific setting
 Simultaneous replication refers to the use of different
subjects and increases the generalizability of the study
Objectives 5.1 & 5.2
Replication
 Three stages of replication (cont.)
 Systematic replication
 Follows direct replication efforts
 Involves different researchers, behaviors, or settings
 Over time techniques are identified that consistently
produce effective results
 Clinical replication
 Follows systematic replication
 Involves the development of treatment packages
composed of two or more effective treatments
Objective 5.2
Example -Single subject design
 A-B-A-B – this would be useful in a class where a child is not
learning times tables.
 A: Hypothetically their baseline progress would be tracked over a
weeks’ time where the child answers mathematical test.
 B: Then an intervention would be introduced where the child
practices for 10 minutes before sitting the daily test.
 A: To monitor how they do without the intervention, the new
baseline would be monitored again, and
 B: Then a more intense intervention could be introduced where the
child practices twice a day for 20 minutes.
Single subject experiment vs
Case study
 Single subject designs focus purely on single
individuals and investigate the effectiveness of an
intervention.
 Case studies are non-experimental observations that
are going to happen, or have happened due to
natural or economic or personal causes.
Single subject experiment vs
Case study
 There are two different types of case studies, the
retrospective and the prospective case studies.
 In the retrospective case studies psychologists
observe and/or measure the behaviour and activity of
the cases with a control group to measure the effects
the occurrence had on the subjects.
 In the prospective case study psychologists measure
the individual before they undergo the occurrence
and after they experienced the occurrence.
The End

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PMC501-PLG501 Single Subject Experimental Study.pdf

  • 2. What is single subject research?  Single-subject research is a quantitative research that:  involves studying in detail the behaviour of each of a single or small number of participants  focuses on understanding objective behaviour through experimental manipulation and control, collecting highly structured data, and analyzing those data quantitatively.
  • 3. Objectives of single subject  To focus intensively on the behaviour of individual participants. 1. - Group research can hide individual differences and generate results that do not represent the behaviour of any individual. Single-subject research, however, would likely reveal these individual differences. 2. - To focus intensively on individuals is that sometimes it is the behaviour of a particular individual that is primarily of interest.
  • 4. Objective of single subject  To discover causal relationships through the manipulation of an independent variable, the careful measurement of a dependent variable, and the control of extraneous variables.
  • 5. Why single subject instead of group approach?  In some situations it is inappropriate/unethical to use a control group treatment, so a single-subject design is the alternative  In other situations there are low incidences of subjects available to participate. Eg: Children with specific special needs
  • 6. Single subject research approach  Single subject design involves single individuals or small sample (n<10) and focus intensively on the behaviour of individual participants and investigate the effectiveness of an intervention.  The researcher establishes the baseline behaviour or actions by observation or multiple tests each day for a set amount of time.  After the baseline is set, an intervention would be introduced to change or better the behaviour.  This would be an A-B design where there is a simple baseline phase and an intervention phase.
  • 7. Single subject experimental  Depending on the circumstances and needs, A-B-A design can occur where the baseline is monitored, the intervention is introduced and then the intervention is taken away to see whether it helped long term or whether it is a shot term effect only.  The A-B-A-B design monitors the progress and investigates what happens if the intervention is taken away, however it is later put back in again to better the behaviour.
  • 8. Single-Subject Research  Two unique characteristics  The sample size is one subject (individual/group/class) or small group of sample (<10)  Each subject serves as his or her own control  Notation  ‘A’ indicates a non-treatment phase usually referred to as a “baseline”  ‘B’ indicates a treatment phase  Examples  A-B-A indicates a non-treatment baseline phase followed by a treatment phase which is followed by a return to a non- treatment baseline phase  A-B-A-B indicates four phases of treatment (baseline, treatment, baseline, and treatment) Objectives 1.1, 1.2, 1.5
  • 9. Single-Subject Research  External validity  The lack of external validity is the major concern with single-subject designs  Generalizability is addressed through multiple replications of the same treatment and design that produce similar results for a number of different participants Objective 1.4
  • 10. Single-Subject Research  Internal validity  Internal validity is always a concern with single- subject research  Two major threats  Instrumentation  Specificity of variables  Controlling threats  Baselines are multiple measures of pretest performance  By repeating baseline measures over a period of time threats to internal validity can be controlled in terms of  History  Maturation Objectives 1.6 & 1.7
  • 11. Single-Subject Research  Number of manipulated variables  Only a single variable should be manipulated in single-subject designs  Adding and withdrawing more than one variable becomes problematic in terms of analyzing the individual effect of either variable Objective 1.8
  • 12. Single-Subject Designs  Three major categories 1. A-B (Basic design) 2. A-B-A, A-B-A-B withdraw  Alternating phases of baseline (A) and treatment (B) 3. Multiple baselines  The systematic addition of behaviors, subjects, or settings for intervention  Used when baselines cannot be recovered after treatment has been received 4. Multiple treatment Rapid alternation of treatments to a single subject to assess the effectiveness of two or more treatments Objective 1.9
  • 13. A-B Withdraw Design  The A-B design  O O O O O O O X O X O X O X O Baseline Treatment  Internal validity threats are of concern  Use of designs with additional baseline and/or treatment phases helps to control threats to internal validity Objective 1.10
  • 14.
  • 15. A-B-A Withdraw Design  The A-B-A design  O O O O X O X O X O O O O O Baseline Treatment Baseline  If the outcome is better during treatment than either baseline, the treatment is likely effective  Internal validity threats can be controlled  The major concern  The experiment ends with the subject not receiving the treatment  If the treatment has been shown to be effective this is an ethical concern Objective 1.10
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  • 18. A-B-A-B Withdraw Design  The A-B-A-B design  O O O O X O X O X O O O O O X O X O X O Baseline Treatment Baseline Treatment  Internal validity threats can be controlled  The effects of the treatment can be demonstrated twice  If the results are the same, it is likely the influence of extraneous variables has been controlled  Ethical concerns related to the A-B-A design are eliminated  The right pattern of results provides convincing evidence of the effectiveness of the treatment Objective 1.10
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  • 21. Multiple Baseline Designs  Three basic multiple baseline designs  Across behaviors  Data are collected on several behaviors for a single subject  Treatment is applied to each behavior one at a time until all behaviors have been treated  Across subjects  Data are collected on several subjects for one behavior  Treatment is applied to each subject one at a time until all subjects have been treated  Across settings  Data are collected on one behavior for one subject across several settings  Treatment is applied to each behavior one at a time in each setting until all settings have been treated Objective 2.1
  • 22. Multiple Baseline Designs  Three basic multiple baseline designs (cont.)  An example across behaviors  Behavior 1 O O X O X O X O X O X O Behavior 2 O O O O X O X O X O X O Behavior 3 O O O O O O X O X O X O  Design concerns  If behaviors are treated the behaviors must be independent of one another  If subjects are treated the subjects must be similar  If settings are treated the settings must be as natural as possible Objective 2.1
  • 23. Multiple Baseline Designs  Advantages  Can be used when baseline data are not recoverable after treatment  The effects of reinforcement are designed to be maintained after the reinforcement is removed  Can be combined with A-B-A designs to establish a very convincing case for cause and effect  An A-B-A design is applied across three behaviors Objective 2.2
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  • 29. Alternating Treatments Design  Involves the relatively rapid alternation of treatments for a single subject  Treatment does not occur at fixed time periods  Treatments are changed sporadically  Advantages  Useful in assessing the relative effectiveness of two or more treatments  No withdraw of treatment is necessary  No baseline is needed  The effects of treatment can be studied quickly and efficiently Objectives 3.1 & 3.2
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  • 33. Data Analysis and Interpretation  Two phases  An evaluation of the adequacy of the design  An assessment of the treatment effectiveness  Two techniques  Visual inspection of the data  Graphical presentation of the results Objective 4.1
  • 34. Data Analysis and Interpretation  Significance  Clinical significance  Effects related to the behaviors being treated  Meaningful in a “real” sense  Parallels the importance of practical significance  Statistical significance  Statistical tests are available but often result in statistical significance that has little if any clinical significance  Use is currently debated in the field Objective 4.2
  • 35. Replication  Replication is an important aspect of single- subject research  The more one’s results are replicated the more confidence one has in the procedures that produced the results  Three stages of replication  Direct replication  Same researcher, same subjects, specific setting  Simultaneous replication refers to the use of different subjects and increases the generalizability of the study Objectives 5.1 & 5.2
  • 36. Replication  Three stages of replication (cont.)  Systematic replication  Follows direct replication efforts  Involves different researchers, behaviors, or settings  Over time techniques are identified that consistently produce effective results  Clinical replication  Follows systematic replication  Involves the development of treatment packages composed of two or more effective treatments Objective 5.2
  • 37. Example -Single subject design  A-B-A-B – this would be useful in a class where a child is not learning times tables.  A: Hypothetically their baseline progress would be tracked over a weeks’ time where the child answers mathematical test.  B: Then an intervention would be introduced where the child practices for 10 minutes before sitting the daily test.  A: To monitor how they do without the intervention, the new baseline would be monitored again, and  B: Then a more intense intervention could be introduced where the child practices twice a day for 20 minutes.
  • 38. Single subject experiment vs Case study  Single subject designs focus purely on single individuals and investigate the effectiveness of an intervention.  Case studies are non-experimental observations that are going to happen, or have happened due to natural or economic or personal causes.
  • 39. Single subject experiment vs Case study  There are two different types of case studies, the retrospective and the prospective case studies.  In the retrospective case studies psychologists observe and/or measure the behaviour and activity of the cases with a control group to measure the effects the occurrence had on the subjects.  In the prospective case study psychologists measure the individual before they undergo the occurrence and after they experienced the occurrence.