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Single-Subject Research. Hannah Barnes Kimberly Lopez . What is S ingle Subject Research?. Definition .
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Single-Subject Research Hannah Barnes Kimberly Lopez
Definition • “The aim of single subject experimental research is to clearly establish the effects of an intervention on a single , the intent is to ensure that changes in responses are indeed the result of that intervention and are not a consequence of chance of other factors (McCormick,1995, p.1)”
Definition • Single subject main purpose is to analyze a behavior and establish an intervention that is relevant to that particular behavior.
Definition • The designs provide a novel set of research tools to answer critical questions, particularly in relations to the effect of interventions (Kazdin, 2011, p.vii)
Quick Facts • Typically focused on one individual • Same intervention can be applied to a small number of individuals • Overall conclusions focuses on the INDIVIDUALS progress or regression • “The term single subject, thus, refers to a process rather than to an actual number of participants (McCormick, 1995, p.4).”
Quick Facts • Single Subject puts a large emphasis on Baseline data • Baseline is the starting point • Present level • Future Level • Stable Level • Trend • Variability
Quick Facts • Single Subject Designs • Multiple Baseline • Reversal • Alternating Treatment
Quick Facts • Variable- element in research that can be changed. • Independent • Dependent
Multiple Baseline Design • Multiple Baseline is defined as identifying two or more dependent variables and measuring the intervention strategies. • It requires a replication measurement of the intervention across the dependent variables. • Across behaviors, settings, and individuals
Reversal Design • ABAB • Reversal design is defined as the implementation and withdraw of the intervention towards the behavior. .
Alternating-Treatment Design • Two or more interventions • Repeated Measures • Switching back and forth between interventions
Criteria • 1. Establishing baseline www.cehd.umn.edu1477 × 1046
Criteria • 2. Identification of relatable variables • 3. Controlled Procedures.
Criteria • 3. Repeated Measures • 4. Standard Measurement
Criteria • 5. Design Selection • 6. Clinical Analysis
Discussion • Differs from other designs • How its beneficial.