Applied Behavior Analysis Planning Research
This set covers research planning in ABA, highlighting component analysis, which compares the effects of multiple independent variables, and placebo control, which distinguishes actual treatment effects from participants’ expectations.
component analysis
comparing the effects of 2 or more independent variables
Key Terms
component analysis
comparing the effects of 2 or more independent variables
placebo control
this separates effects that may be produced by a subjects preceived expectations of improvement because of taking a drug apart from the effects act...
treatment integrity
procedural fidelity
refers to the extent to which the independent variable is implemented or carried out as planned
treatment drift
occurs when the application of the independent variable during later phases of an experiment differs from the way it was applied at the outset of t...
direct replication
researcher makes every effort to duplicate exactly the conditions of an earlier experiment
systematic replication
the researcher purposefully varies one or more aspects of an earlier experiment
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| Term | Definition |
|---|---|
component analysis | comparing the effects of 2 or more independent variables |
placebo control | this separates effects that may be produced by a subjects preceived expectations of improvement because of taking a drug apart from the effects actually produced by the drug |
treatment integrity procedural fidelity | refers to the extent to which the independent variable is implemented or carried out as planned |
treatment drift | occurs when the application of the independent variable during later phases of an experiment differs from the way it was applied at the outset of the study |
direct replication | researcher makes every effort to duplicate exactly the conditions of an earlier experiment |
systematic replication | the researcher purposefully varies one or more aspects of an earlier experiment |
type I error | false positive made when researcher concludes that the independent variable had an effect on the DV, when it didn’t |
Type II error | researcher concludes that an IV did not have an effect on the DV, when it really did. |